Analytics Startups funded by Y Combinator (YC) 2024

November 2024

Browse 100 of the top Analytics startups funded by Y Combinator.

We also have a Startup Directory where you can search through over 5,000 companies.

  • Amplitude
    Amplitude (w2012)Public • 750 employees • San Francisco, CA, USA
    Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva). With product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey.
    developer-tools
    b2b
    analytics
    marketing
    data-visualization
  • Segment
    Segment (s2011)Acquired • 550 employees • San Francisco, CA, USA
    Segment is one place to collect customer data and send it to your tools for analytics, marketing automation, and raw data access with SQL. Implement all of your event tracking with Segment’s single API instead of wrangling a new API for every new tool or database. Segment's integrations let you send your data to hundreds of tools and databases.
    saas
    b2b
  • Heap
    Heap (w2013)Acquired • 388 employees • San Francisco, CA, USA
    Heap automates away the annoying parts of user analytics. No manual event tracking. No messy tracking plans. No custom ETL pipelines. Just insights. For everyone on your team.
    saas
    analytics
  • Mixpanel
    Mixpanel (s2009)Active • 410 employees • San Francisco, CA, USA
    Mixpanel is analytics for builders that need answers from their data at their fingertips. When everyone in the organization can see — and learn from — the impact of their work, they are poised to make better decisions. Companies like OpenAI, Netflix, Pinterest, sweetgreen, CNN, samsara, Uber, and Yelp use Mixpanel to understand their customers, measure progress, and endeavor to make better decisions.
    b2b
    analytics
    data-visualization
    cloud-computing
    databases
  • HyperGlue
    HyperGlue (w2021)Active • 5 employees • San Francisco Bay Area, CA, USA
    There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise. Hyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.
    machine-learning
    b2b
    nlp
  • Vizly
    Vizly (s2023)Active • 2 employees • San Francisco, CA, USA
    Vizly helps you get the most out of your data by turning it into actionable insights in seconds. Whether you're a researcher, professor, data analyst, or business leader, Vizly's AI capabilities enable you to visualize, analyze, and interpret your data effortlessly. For example, Vizly can automatically generate interactive visualizations, perform detailed statistical analyses, and offer predictive insights, making your data analysis workflow seamless. Before Vizly, Ali built out people-based AI recommendations at Apple and Sami built mission-critical data visualization systems at NASA's Jet Propulsion Laboratory.
    artificial-intelligence
    privacy
    data-science
    data-visualization
    ai
  • GrowthBook
    GrowthBook (w2022)Active • 21 employees • Palo Alto, CA, USA
    GrowthBook is an open source platform to help companies make data-driven product decisions with feature flags and A/B tests. Existing SaaS solutions like LaunchDarkly require a company to send all of their data to them. This results in high costs, data compliance issues, and vendor lock-in. As a result, many companies end up building their own platforms in-house, which can take thousands of hours of work and lots of headaches. To solve this, GrowthBook uses a company's existing data infrastructure and business metrics. We believe feature flags and experimentation are the right way to build products at scale and that they will become a standard part of the development process. GrowthBook is well positioned to be a leader in this growing market.
    developer-tools
    b2b
    analytics
    open-source
  • Memfault
    Memfault (w2019)Active • 80 employees • San Francisco, CA, USA
    Memfault is the first IoT reliability platform that empowers teams to build more robust devices with software at scale. We believe that device reliability engineering will transform how developers build and operate IoT and edge devices with more productivity and more collaboration. As IoT applications continue to grow in complexity, it is more important than ever for developers to have Memfault’s performance monitoring, device debugging, and OTA update capabilities built into their fleet of devices for proactive device operations. We built Memfault to enable developers with a more scalable and sustainable process to accelerate go-to-market, de-risk product launches, cut product costs, and deliver overall superior products.
    developer-tools
    saas
    iot
  • CreatorML
    CreatorML (w2023)Active • 6 employees • New York, NY, USA
    CreatorML builds predictive AI for video virality to help businesses scale their social media strategy.
    b2b
    analytics
    ai
  • Buster
    Buster (w2024)Active • 3 employees • Salt Lake City, UT, USA
    Buster is an open source alternative to Tableau, built from the ground up with AI in mind. With Buster, anyone can query data using plain english, generate robust visualizations, and build their own dashboards. Our AI-platform includes a suite of LLM-powered tools to enhance data team workflows, monitor LLM performance, and ensure accurate data exploration.
    generative-ai
    data-science
    data-engineering
    data-visualization
    databases
  • Upsolve AI
    Upsolve AI (w2024)Active • 4 employees
    Upsolve AI is a customer-facing analytics as a service platform. We are building a full data stack that enables businesses to build and offer analytics to their customers at lightning speed and gives their customers the superpower to answer any data questions via AI. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.
    developer-tools
    b2b
    analytics
    big-data
    ai
  • Varos
    Varos (s2021)Active • 3 employees • San Francisco, CA, USA
    Varos is a data sharing platform helping companies compare their KPIs to their peers. Within 1.5 years, we have over 4,000 companies as part of our co-op and growing rapidly. Varos is pioneering a new category of data analytics that’s challenging traditional taboos around cross-company collaboration. Varos’ platform helps its users understand their own performance vs. direct competitors by unlocking data that is currently stored in different silos. In fact, a growing base of thousands of users are already automatically feeding marketing data to Varos’ platform, and in return seeing how they stack up against others in their space and stage. However, Varos is not planning to stop there, and is already planning its expansion across additional operative departments, such as finance, product, and sales. Companies today are flying blind because they only rely on their own historical data and don’t know how their metrics compare to their competitors. Varos increases revenue for our users by accurately showing them how their metrics compare against similar companies so they can decide which KPIs to double down on and which to spend time fixing.
    saas
    b2b
    analytics
  • Trackingplan
    Trackingplan (w2022)Active • 8 employees • Barcelona, Spain
    Trackingplan automatically discovers and monitors all the information your applications and websites are collecting, ensuring that you can trust your BI, analytics, marketing, and sales tools. You can think of us as Segment Protocols but totally transparent, where developers can keep using Google Analytics, Amplitude, Hubspot, Intercom, Braze, etc. as they are used to. Installed in minutes in using your Tag Manager or adding just one line of code to your web or apps, we model all the data being sent to third parties. Since Trackingplan understands what each piece of data means, it identifies patterns, detects anomalies, and automatically connects the dots to create value from data that was hidden in plain sight: - An always up-to-date single source of truth and data governance tool. To discover, understand and document your data and improve communication across teams. - Automated notifications when something breaks or changes. To make sure that integrations are always well implemented: Schema errors, traffic anomalies, rogue events... - Easy to understand, customizable, cross-service alerts. To detect trends, insights, and problems without using complex, engineer-oriented solutions.
    saas
    analytics
    data-engineering
  • Convictional
    Convictional (w2019)Active • 14 employees • Toronto, ON, Canada
    Convictional will fundamentally rethink how business leaders make decisions and implement changes. Instead of trying to coordinate through email chains, chat messages and slide decks, you'll get an entirely new kind of decision environment where the right information and the right people will come together instantly. Your leaders will see every major decision in motion across the enterprise. They'll spot emerging patterns, tap into relevant experience from past decisions, and mobilize exactly the right expertise at the right moment. No hunting for information, no voices lost in the noise, no painful reconstructions of why decisions were made. Custom workspaces spin up automatically for each type of decision and project. Critical metrics and past decisions will surface proactively. Expert input will flow through structured frameworks from experts inside and outside the company. Everything will be instantly documented. And your team's decision-making playbook will get smarter with every choice you make. Convictional will be the infrastructure that powers decisions at the world's most ambitious companies.
    b2b
    enterprise
  • Evidently AI
    Evidently AI (s2021)Active • 2 employees • San Francisco, CA, USA
    We are building an open-source standard to monitor ML models in production. The tool is used by enterprise data science teams to operate their models reliably and detect and resolve issues.
    developer-tools
    machine-learning
    b2b
    open-source
  • OpenInt
    OpenInt (w2023)Active • 4 employees
    OpenInt helps teams ship product integrations in hours, not weeks, using no or low code. Read and write data using unified APIs or sync it straight to your database.
    artificial-intelligence
    developer-tools
    saas
    open-source
  • Zeit AI
    Zeit AI (s2024)Active • 3 employees • San Francisco, CA, USA
    Zeit AI transforms Excel files in a structured database that can be queried using natural language. For example, the financial consultancy RISE, which depends heavily on Excel, uses Zeit AI to access and analyze expenses across their organization.
    b2b
    analytics
    data-science
    ai
    conversational-ai
  • Turntable
    Turntable (w2023)Active • 3 employees • New York, NY, USA
    Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers. If you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!
  • Pretzel AI
    Pretzel AI (w2024)Active • 2 employees • Berlin, Germany
    **Jupyter is used by millions** of data scientists and analysts but it has _many_ problems. **Pretzel fixes Jupyter's problems** with native AI-tooling, collaboration, modern code-editing features, native SQL support and a visual, AI-assisted data exploration and dashboarding suite. **We're two ex-Stripe founders**. Prasoon worked as a Data Scientist at Stripe, Goldman Sachs and Klarna for over 7 years. We recently launched on GitHub and got **1000 GitHub stars in two weeks**, 500+ DAU, usage at large companies like Stripe and Bayer and 7 new code contributors.
    artificial-intelligence
    analytics
    collaboration
    open-source
    data-science
  • Scuba
    Scuba (w2013)Active • 51 employees • Redwood City, CA, USA
    Interana is the fast and scalable event-based analytics solution to answer critical business questions about how customers behave and products are used. Interana allows users to analyze and explore the key business metrics that matter most in a data-driven world – such as growth, retention, conversion and engagement – in seconds, rather than the hours or days it often takes with existing solutions. Interana allows customers to discover and investigate these key insights easily through its visual and interactive interface, which makes data analysis a natural extension of everyone’s workflow.
    analytics
    big-data
  • Bluelight
    Bluelight (w2021)Active • 2 employees • San Francisco, CA, USA
    Bluelight is at the forefront of business analytics for the home services industry, providing a technology platform that empowers contractors with the insights needed for sustained growth. Our mission is to lead the next wave of digital transformation in the trades.
    saas
    b2b
    analytics
  • Sherloq
    Sherloq (w2023)Active • 6 employees • Tel Aviv-Yafo, Israel
    Sherloq is like Github for data teams. Companies use us as their single source of truth for their SQL on top of their existing data stack. Today, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files). Creating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. Using our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place. We ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.
    artificial-intelligence
    generative-ai
    saas
    b2b
    analytics
  • Armilla AI
    Armilla AI (w2022)Active • 14 employees • Toronto, ON, Canada
    Using industry-leading AI/LLM evaluation technology, Armilla AI provides third-party AI assessment and warranty solutions, backed by leading reinsurers Swiss Re, Greenlight Re and Chaucer. Vendors of AI-powered products leverage Armilla’s assessment to anticipate customer questions, respond to enterprise RFPs, meet regulatory requirements, build trust in the reliability of their solutions - and ultimately, to accelerate sales. Armilla’s clients include enterprises along with AI-first start ups & scale ups in Fintech, Insurtech, Healthtech, Legaltech, HRtech & more.
    artificial-intelligence
    machine-learning
  • Tydo
    Tydo (s2020)Active • 8 employees • Los Angeles, CA, USA
    Tydo helps ecommerce brands and agencies see a fuller picture of their data. Think of us as your data team.
    fintech
    saas
    e-commerce
  • Jitsu
    Jitsu (s2020)Active • 4 employees • San Francisco, CA, USA
    Jitsu is the fastest, most durable way to collect event data from every source - web, app, email, chatbot, CRM - into your data warehouse. 100% open-source. Purpose built, secure and ready in minutes.
    saas
    b2b
    open-source
    data-engineering
  • Quary
    Quary (w2024)Active • 2 employees • London, UK
    Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. At our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner
    artificial-intelligence
    analytics
    data-science
    data-engineering
    ai
  • Poll Everywhere
    Poll Everywhere (s2008)Active • 70 employees • San Francisco, CA, USA
    Poll Everywhere turns any presentation into a two-way conversation - directly in your PowerPoint, Keynote, or Google Slide deck. Participants respond to questions live using mobile phones and the results appear instantly in beautiful, animated displays. Poll Everywhere engages everyone at conferences, town halls, training sessions, marketing events, and everyday meetings. Learn more about how organizations like HP, Volvo, KPMG, and over 75% of the Fortune 500 use Poll Everywhere to get results.
    saas
  • Worklytics
    Worklytics (w2018)Active • Seattle, WA, USA
    Worklytics identifies leading drivers of employee engagement, without the need for repetitive surveys. It does this by passively analyzing anonymous collaboration data, in tools like Google Workspace and Slack, and detecting patterns that lead to greater employee satisfaction. Worklytics uses these insights to promote positive organizational change by proactively nudging leaders and managers.
    human-resources
    productivity
  • Elementary
    Elementary (w2022)Active • 12 employees • Tel Aviv-Yafo, Israel
    Elementary enables data teams to detect problems in their data before their users do. An open-source solution that any data engineer can deploy in minutes without sharing sensitive data.
    developer-tools
    analytics
    open-source
    data-engineering
  • BetterBasket
    BetterBasket (w2024)Active • 4 employees • San Francisco, CA, USA
    BetterBasket helps grocers with pricing, powered by competitive data. Our founding team worked together at Uber Eats growing the dark store business in Asia to $100 million in revenue and making it profitable, and are now building BetterBasket to bring those learnings to all grocers.
    artificial-intelligence
    b2b
    analytics
    food-&-beverage
    retail
  • Datafold
    Datafold (s2020)Active • 24 employees • New York, NY, USA
    Datafold exists to make working with data more enjoyable and productive. We are all about empowering data and analytics engineers. We find the most tedious, error-prone, and repetitive tasks and create tools to automate them. We make the world better by giving superpowers to data professionals who solve hard problems in various domains with data.
    saas
    analytics
    data-engineering
  • College Pulse
    College Pulse (s2018)Active • 8 employees • San Francisco, CA, USA
    College Pulse is the leading research and analytics company focused on college students. We have built the largest database of college student opinion with over 700K student panelists from 1500 universities in all 50 states, and we use our student panel to help our clients better understand the college demographic. Our ambition is to become a unique part of the global internet infrastructure - like Google for search, Facebook for social, Amazon for retail, we want it to be Pulse for public opinion.
    education
    analytics
  • Outset
    Outset (s2023)Active • 6 employees • San Francisco, CA, USA
    Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster.
    artificial-intelligence
    saas
    b2b
    market-research
    enterprise-software
  • Whaly
    Whaly (s2021)Active • 3 employees • Paris, France
    Whaly helps data teams save time on maintenance and analysis building while making business users more autonomous on the analysis they want to improve their decision making. We do this by providing a self service data platform where both data and business teams can work together. We understood that most data teams were ending up being a bottleneck for the rest of the company and needed to give more autonomy to business teams to back their decisions with data. Emilien, Florian and Pierre were the minds behind the Data advertising platforms of the major media and e-commerce companies in France in their earlier position as Product Manager and head of Customer Success, giving them an edge on how to execute successfully a data project.
    data-engineering
  • MAIHEM
    MAIHEM (w2024)Active • 4 employees
    MAIHEM creates AI agents that test AI products. We enable companies to automate their AI quality assurance, enhancing AI performance and reliability before and after deployment.
  • Polytomic
    Polytomic (w2020)Active • 7 employees • San Francisco, CA, USA
    Polytomic is a no-code web app to sync data between your internal databases, business systems (e.g. Stripe, Salesforce, etc), data warehouses, spreadsheets, and even HTTP APIs.
    saas
    b2b
    data-engineering
  • Menza
    Menza (s2023)Active • 2 employees • London, UK
    Menza is a modern data analytics platform that takes the stress out of strategy. Generate proactive insights and interactive dashboards in seconds using Menza's proprietary AI technology. Enterprises use Menza to make strategic decisions to go to the next level.
    artificial-intelligence
    data-science
    data-visualization
    ai
    ai-assistant
  • Thematic
    Thematic (s2017)Active • 21 employees • Auckland, New Zealand
    Thematic is a Customer Feedback Analysis platform. We pull feedback from sources you already use for surveying or talking to customers. We automatically discover themes in feedback and provide visualizations and reports that help improve customer satisfaction, prioritize product roadmap and track trends in customer feedback over time.
    saas
    b2b
    ai
  • Honeydew
    Honeydew (w2023)Active • 6 employees • Tel Aviv-Yafo, Israel
    The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow. Using Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.
    saas
    b2b
    analytics
    data-engineering
  • Defog.ai
    Defog.ai (w2023)Active • 5 employees • Mountain View, CA, USA
    Defog lets your business users query data in seconds, using everyday language. We are powered by SQLCoder – our state of the art open-source model that can search and visualise structured data (like SQL databases or Data Warehouses), and can be further fine-tuned and and deployed on-prem on your servers.
    developer-tools
    generative-ai
    machine-learning
    open-source
    enterprise
  • Voicepanel
    Voicepanel (w2024)Active • 2 employees
    Voicepanel helps businesses gather rich feedback on their products & services with unprecedented ease. Given a simple prompt, our AI will conduct hundreds of interviews and synthesize actionable insights in minutes.
  • Muffin Data
    Muffin Data (w2023)Active • 2 employees
    Muffin Data is a turnkey data platform and reporting solution for consumer packaged goods (CPG) brands. We combine proprietary data sets with automated ingestion from industry-specific data sources to provide a clear and unified view of in-store sales performance, product distribution, and supply chain health.
  • kater.ai
    kater.ai (w2024)Active • 3 employees • San Francisco, CA, USA
    1. You explain your problem. 2. Kater identifies the most important data questions to ask. 3. Kater writes the code. 4. You get insights in seconds rather than weeks. Kater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs. Kater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework. Yvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. Data is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data.
    artificial-intelligence
    analytics
    data-engineering
  • Datrics
    Datrics (w2021)Active • 22 employees • San Francisco, CA, USA
    Datrics.ai transforms enterprise sales and finance operations with an AI-powered digital coworker, streamlining complex analyses into simple conversations. Imagine a bank CFO querying, 'How did our loan performance this quarter compare to the last?' and instantly receiving detailed, visual analyses directly via MS Teams chat. This revolutionizes tasks that were once time-consuming and complex. Our vision is to cultivate a vast ecosystem of digital coworkers, enabling businesses to harness the power of data-driven decisions effortlessly. At the core of Datrics lies our unique low-code data workflow automation platform, designed to simplify data handling for digital analysts. This platform empowers analytics teams to dive into data exploration and blending, uncover insights, and create automated workflows and dashboards for sharing insights — all without the need for coding.
    finance
    b2b
    analytics
    no-code
    ai
  • PandasAI
    PandasAI (w2024)Active • 3 employees • Munich, Germany
    PandasAI is an open-source library for conversational data analysis. Enterprises can connect their dataframes, databases or datalakes and do data analysis in plain english. For example, PandasAI can be used by everyone in the company to visualize data or to ask complex queries and extract valuable insights for better data-informed decisions.
    artificial-intelligence
    analytics
    data-visualization
    ai
  • Shape
    Shape (s2021)Active • 4 employees • London, UK
    Shape lets workers get access to data insights without having to write SQL.
    analytics
    enterprise
    ai
  • Datlo
    Datlo (s2021)Active • 31 employees • Maringá - Floriano, Maringá - State of Paraná, Brazil
    Datlo is a geointelligence platform made for sales and marketing folks. In seconds you can conduct market research, find new customers, and distribution channels for your company. All of that without needing a data scientist or a programmer.
    saas
    geographic-information-system
    b2b
  • MinusX
    MinusX (s2024)Active • 3 employees • San Francisco, CA, USA
    MinusX is a chrome extension that adds a side chat to your analytics apps (Jupyter, Metabase, Grafana, Tableau, etc). Given an instruction, our agent operates your apps - by clicking & typing, just like you do - to analyze data and answer queries. We believe an AI Data Scientist is a scientist, not yet-another-new-analytics-platform. MinusX interoperates with you in tools you already love and use, and as a matter of philosophy, gets out of the way.
    machine-learning
    analytics
    data-science
    ai
    ai-assistant
  • Siftly
    Siftly (w2022)Active • 2 employees • Gurugram, Haryana, India
    Siftly is your personal AI data analyst that can get you critical business insights in seconds, not days.
    artificial-intelligence
    generative-ai
    analytics
    data-science
    ai-assistant
  • Avo
    Avo (w2019)Active • 10 employees • San Francisco, CA, USA
    Avo fixes data quality in product analytics. Avo helps teams like Ikea, Wolt, Fender, Sixt and Condé Nast to plan, implement and monitor analytics, so they don't fly blind and fail to build great user experiences Start your step-by-step path to settle your analytics debt: Step 1: Better tracking plan management. Avo is a better alternative to the "tracking plan spreadsheet", keeping your data quality high and your schema sync'd with all downstream tools. Import your tracking plan for an instant audit, then design more scalable data for every feature release, even before you're an expert. Step 2: Better data validation. Avo is ongoing observability of actual tracking compared with tracking plan. One-time install the Avo Inspector SDK to see what's wrong with your tracking today so you can start making it better. Step 3: Better analytics release workflow. Avo is the self-serve analytics governance, changing how PMs, devs and data scientists collaborate to plan, implement and verify their product analytics. What used to take Patreon 1-4 days for every feature release, now takes 30-60 minutes.
    developer-tools
    b2b
  • Dot
    Dot (s2021)Active • 6 employees • Berlin, Germany
    Our mission is to help everybody in an organization to take data-driven decisions, by democratizing access to trusted high-quality data and metrics. **Chat with your Data Warehouse** Answer most business questions instantly 24/7. Data teams can focus on deep work, not on answering easy questions about dashboards. Dot understands your existing data stack: tables, SQL queries, documentation, DBT metrics or LookML are its learning material. Users can interact via Slack, Teams or our native web app. ➡️ https://getdot.ai/
    artificial-intelligence
    saas
    b2b
    analytics
    enterprise
  • Helicone
    Helicone (w2023)Active • 5 employees • San Francisco – Oakland Bay Bridge, San Francisco – Oakland Bay Bridge, San Francisco, CA, USA
    Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective. ### Key Features 1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs. 2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications. 3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards. ### Built for Developers and Data Scientists Helicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform. By combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.
    aiops
    developer-tools
    analytics
    open-source
  • Mito
    Mito (s2020)Active • 3 employees • New York, NY, USA
    Mito is Cursor for data science. We’re building an AI enabled IDE to 10x the productivity of data people. Data analysts use Mito to automate reports without relying on internal engineering resources. Mito is used by thousands of business analysts, data scientists, and automation engineers at some of the world's largest banks, private equity shops, and consulting firms. Open source is key to our enterprise sales strategy. Mito is open source and built on top of Jupyter. That means getting started with Mito is as simple as running `pip install` and doesn't require enterprises to manager new infrastructure. Check us out at: https://www.trymito.io/
    artificial-intelligence
    developer-tools
    analytics
    open-source
    data-science
  • Revamp
    Revamp (s2023)Active • 2 employees • San Francisco, CA, USA
    Revamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.
    artificial-intelligence
    b2b
    e-commerce
    ml
  • Quill
    Quill (w2020)Active • 5 employees • San Francisco, CA, USA
    React Library, API, and Management Toolkit, purpose built for customer-facing dashboards.
    saas
    analytics
    api
    data-visualization
  • June
    June (w2021)Active • 6 employees • San Francisco, CA, USA
    June is a plug & play product analytics for B2B SaaS. It automatically generates graphs of the metrics you should track, lets you view your company-level metrics, and zoom into them!
    analytics
    data-visualization
  • Livedocs
    Livedocs (w2022)Active • 3 employees • San Francisco, CA, USA
    Livedocs is a no-code analytics tool for modern teams. We are building a document editor that helps non-technical operators build reports with live data from tools like Stripe, Google Analytics, Segment without writing code.
    saas
    productivity
    analytics
  • Thorntale
    Thorntale (w2024)Active • 3 employees • San Francisco, CA, USA
    Thorntale automates the creation and updating of customer review decks, enabling post-sales teams to build presentations in minutes instead of hours. Simply paste a URL into a slide to instantly create a brand-colored chart in your deck. The charts are interactive and modifiable mid-presentation, allowing you to answer customer questions on the spot and adjust charts without needing to consult the data team.
    saas
    b2b
    productivity
    collaboration
    data-visualization
  • HypaHub
    HypaHub (w2022)Active • 6 employees • Sunnyvale, CA, USA
    HypaHub is a Cloud-Based Bioinformatics and AI Platform. It is the first HIPAA-compliant Bioinformatics SaaS that runs natively on users' clouds, providing both operation- and price-transparency. Our product is a one-stop shop to access complex technologies designed for scientists building data applications or performing data analytics to extract insights. It automates the creation and manages the operation of computing resources, eliminating the need for enterprises to set up and maintain a high-end R&D cloud infrastructure.
    machine-learning
    biotech
    analytics
  • Senso
    Senso (w2024)Active • 2 employees • Toronto, ON, Canada
    Senso is building an AI-powered knowledge base for customer support, starting in the Credit Union space. Our product reduces contact time by over 10x by enabling support teams to make decisions about customer requests in seconds. Bringing service automation to the financial services industry is a $6B opportunity, and we’re building for all regulated industries where Senso's founders have spent over a decade building enterprise software.
    artificial-intelligence
    generative-ai
    saas
    enterprise-software
    conversational-ai
  • Enso
    Enso (s2021)Active • 20 employees • Kraków, Poland
    Enso Analytics is a self-service data prep and analysis platform for data teams. It transforms complex processes into repeatable workflows, saving users 7 hours weekly. With full configuration visibility, seamless environment transitions, and real-time updates, Enso caters to both non-programmers and developers, offering cloud and desktop options. DEMO: https://www.youtube.com/watch?v=OBrYjpgCSEE
    saas
    open-source
  • NewsCatcher
    NewsCatcher (s2022)Active • 18 employees • Kyiv, Ukraine, 02000
    We help data & risk enterprise teams get instant access to news and events from over 40,000 news sources. Our main product is a News API to search through an indexed database of online-published news articles in near real-time. “Humans reading the news” is not a scalable way for enterprises to analyse news, and it’s expensive. We help enterprises shift the news consumption from just reading to integrating actionable signals into their internal workflow.
    saas
    enterprise
    big-data
    enterprise-software
    ai
  • Cloudthread
    Cloudthread (s2021)Active • 8 employees • San Francisco, CA, USA
    Cloudthread is an analytics platform that helps engineering teams build cost efficiently in the cloud. We were behind Lyft's internal cloud cost management system and now we use that deep expertise to help organizations save hours of engineering time, reduce cloud bills, and prevent costly re-architectures.
    developer-tools
    finops
    b2b
    workflow-automation
    cloud-computing
  • Evidence
    Evidence (s2021)Active • 6 employees • Toronto, ON, Canada
    Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown.
    developer-tools
    b2b
    analytics
    data-engineering
    data-visualization
  • Redbird
    Redbird (w2022)Active • New York, NY, USA
    Redbird is an AI-powered analytics platform for the enterprise - empowering anyone within an organization to easily automate and unify their analytics work in minutes, without writing code. Redbird connects to all of an organization’s data sources and accelerates analytics work across data prep, wrangling, analysis, reporting and data science.
    analytics
  • Multibase
    Multibase (s2021)Active • 3 employees • Denver, CO, USA
    Multibase is the data layer for web3 companies. We help companies index, decode and interpret onchain transactions in real time.
    fintech
    crypto-web3
    analytics
    api
  • Cotera
    Cotera (w2022)Active • 5 employees • London, UK
    Cotera is an AI platform that helps companies understand what their customers are telling them. We integrate directly with the data warehouse, which allows us to derive actionable insights with the full context of all a company's data.
    artificial-intelligence
    analytics
    marketing
  • Secoda
    Secoda (s2021)Active • 27 employees • Toronto, ON, Canada
    Secoda is a universal data catalogue and documentation tool that makes finding metadata, queries, charts and documentation as easy as a google search. Today, data teams are collecting tons of data, but most employees don't know what data exists, how to use it, and what data to trust. This confusion happens because different components of company data get collected in fragmented tools Secoda helps teams find, understand data in one easy to use platform that's accessible to any employee.
    developer-tools
    saas
    b2b
    analytics
    data-engineering
  • Mantys
    Mantys (w2023)Active • 12 employees • Bengaluru, Karnataka, India
    Mantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets. For example, NextBillion uses Mantys to pull data from HubSpot and Chargebee and create real-time views of their Contracted ARR, Billed ARR, Churn, and forecasted ARR
    saas
    finance
    b2b
    india
  • Sarus
    Sarus (w2022)Active • 16 employees • Paris, France
    Sarus solves the problem of accessing or sharing personal data for analytics or machine learning. The solution deploys natively in data infrastructures and lets practitioners work on data they cannot see. Every interaction with the sensitive data is protected with the highest privacy standard: differential privacy Sarus makes traditional anonymization methods irrelevant, saving months in compliance and data engineering while preserving all of the value of data.
    analytics
    compliance
    data-engineering
  • phospho
    phospho (w2024)Active • 3 employees • San Francisco, CA, USA
    Phospho is an open-source text analytics platform for LLM apps in production. Companies like Quivr or Sudowrite use phospho to get answers, take decisions and reduce churn by mining user messages. Use phospho to: - cluster messages or chat sessions - get user analytics - setup no code text analytics (LLM detection, sentiment, classifiers,...) - iterate faster with AB tests - centralize all your transcripts in one place Get started in 3 minutes by uploading a CSV. Integrate the API when convinced.
    generative-ai
    saas
    analytics
    ai
    conversational-ai
  • Chaos Genius
    Chaos Genius (w2020)Active • 10 employees • San Francisco, CA, USA
    Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.
    cloud-workload-protection
    machine-learning
    analytics
    open-source
    data-engineering
  • Lightdash
    Lightdash (s2020)Active • 9 employees • London, UK
    Lightdash is an open-source Looker alternative. It's built on top of dbt and lets users centralise all their team's business logic in one place.
    developer-tools
    b2b
    analytics
    open-source
    data-visualization
  • Patterns
    Patterns (s2021)Active • 2 employees • San Francisco, CA, USA
    Patterns revolutionizes financial analysis by making it easy and accessible through natural language. We are seeking passionate individuals excited about simplifying financial analytics and transforming business intelligence. If you're interested in joining an innovative team in the finance space, explore our job openings and become part of our mission. Our advanced AI transforms financial data workflows and reporting, surpassing traditional spreadsheets and inflexible SaaS solutions. By integrating state-of-the-art LLMs with autonomous querying and financial reasoning, Patterns empowers practitioners to perform complex analyses effortlessly via a natural language interface.
    analytics
    data-science
    data-engineering
    data-visualization
  • Explo
    Explo (w2020)Active • 16 employees • San Francisco, CA, USA
    Explo allows you to build customer-facing dashboards and reporting, lightning-fast. With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed an AI report builder. - Dashboards: build fully white-labled dashboards for your application or enable your users to create their own dashboards from a library of charts you create - Report Builder: embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch - Email: cadenced and one off emails to share analytics and data with your users - Explo AI: embed an AI experience into your product to enable your users to gain insights into their data Explo is built for product teams and developers. We power analytics of all sizes from YC companies to Fortune 500 companies.
    saas
    analytics
  • Brewit
    Brewit (w2023)Active • 4 employees • Palo Alto, CA, USA
    Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.
    artificial-intelligence
    analytics
    data-visualization
    ai-assistant
  • SmartHelio
    SmartHelio (w2022)Active • 12 employees • Lausanne, Switzerland
    SmartHelio provides a software that helps solar utilities automatically predict and prevent downtime disruptions. We help solar utilities to generate extra $200k per plant income on $10k spent using our software, by preventing 700 faults per year. We have a platform which reads live data (current, voltage, weather parameters) from a solar plant, runs algorithms to decouple various factors for the underperformance and provides recommendations to fix it. This data is 100% available for the large scale solar in the world just using software (e.g. APIs). Product launch: https://www.producthunt.com/posts/heliocloud Our cloud software is being used by 40+ leading solar developers in Europe and Asia. We have analyzed 25+ billion of data points from over 3 GW of solar assets spread across the globe in the last 2 years.
    solar-power
    climate
  • PostHog
    PostHog (w2020)Active • 55 employees • San Francisco, CA, USA
    PostHog helps engineers build better products. We provide everything they need to make sure they are building something that people want. This means - product analytics, session replays, feedback tools, feature flags, experimentation, and a datawarehouse (with SQL) with one click data imports from the places you use. PostHog can be deployed to the cloud, or self-hosted on existing infrastructure, removing the need to send data externally. PostHog was created as an open source project during Y Combinator's W20 cohort and had the most successful B2B software launch on HackerNews since 2012 - with a product that was just 4 weeks old. Since then, more than 40,000 companies have installed the platform, we're doing $MMs in revenue, and have a community of 120K developers - 97% driven by word of mouth. Despite the tech market, we're default alive and doing better than ever! We've been averaging ~10% monthly revenue growth, we are [default alive](http://www.paulgraham.com/aord.html), and we didn't raised a huge / now-overpriced round in 2021. While others are focused on layoffs and struggling to grow into huge valuations, we're focusing on an awesome product for end users, hiring (a handful of) exceptional team members and seeing fantastic increases in revenue as a result. Check out posthog.com/careers if you want to be part of this journey.
    b2b
    open-source
  • Deasy Labs
    Deasy Labs (s2023)Active • 3 employees
    Deasy Labs provides metadata orchestration for AI workflows. Deasie's platform provides the best way for AI teams to create and embed high-quality, customized metadata into their AI workflows (e.g., RAG, Agentic frameworks). Our three founders (from Amazon, McKinsey/QuantumBlack & MIT) previously built an ML data governance tool from 0 to 1 within McKinsey, which we deployed with 11 Fortune 500 companies. We saw in early 2023 the ability to create high-quality metadata (without reliance on domain experts) would be a key factor in achieving the accuracy & speed in GenAI applications required for production. Our investors include General Catalyst, Y Combinator, RTP Global and world experts in enterprise data. Website: https://deasylabs.com
    artificial-intelligence
    data-labeling
    big-data
    ai-assistant
    databases
  • Rollstack
    Rollstack (w2023)Active • 15 employees • New York, NY, USA
    Who hasn't spent hours creating or updating slide decks and documents with the latest data? Teams spend between 5h and 12h per week updating slides and docs. And in 75% of the cases, slides are reused. • Rollstack allows teams to automatically create and update Google slides and PowerPoint presentations with the latest data from their BI tools, CRMs, and data warehouse. • Rollstack helps teams automate their business reviews, financial reporting, and client presentations by scheduling updates, creating decks programmatically, and version control. • Rollstack also generates insights automatically from your visualizations and datasets.
    artificial-intelligence
    productivity
    analytics
    big-data
    data-visualization
  • Findly
    Findly (s2022)Active • 6 employees • London, UK
    Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, Findly.ai enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.
    generative-ai
    b2b
    chatbot
    data-engineering
    ai
  • Prequel
    Prequel (w2021)Active • 9 employees • New York, NY, USA
    Prequel makes it easy for companies to share data with their customers. It helps you export data directly to your customer's Snowflake, Redshift, BigQuery, Databricks, or other data warehouse on an ongoing basis.
    saas
    analytics
    data-engineering
  • Orbio Earth
    Orbio Earth (s2023)Active • 14 employees
    Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies. Until today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, We have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar. Learn more at https://orbio.earth
    artificial-intelligence
    satellites
    analytics
    climate
    energy
  • getcrux
    getcrux (w2024)Active • 9 employees • San Francisco, CA, USA
    GetCrux is an AI Copilot for Performance Marketing. Our AI Ads Specialist helps media buyers & planners uncover hidden opportunities and take the right actions at the right time. With GetCrux, ad agencies are bringing operational efficiency and driving better performance for their clients without hurting their bottom line. GetCrux is backed by Y Combinator, Emergent Ventures and senior execs from Google, Facebook and have recently raised over $2.6M. Our team consists of the best minds in AI and product from top grad schools in India like IIT Bombay. Join us in our journey of redefining how performance marketers make decisions and build a next-generation SaaS from India.
    saas
    analytics
    marketing
    automation
    ai
  • PredictLeads
    PredictLeads (s2019)Active • 24 employees • Ljubljana, Slovenia
    PredictLeads provides structured data on companies. Using our data Sales teams can discover companies in their buy mode, Quant funds know when to perform trades and VCs can predict when a startup will be raising a new round. PredictLeads cuts down their market research time. Our goal is to structure the sea of public information on companies.
    machine-learning
  • Index
    Index (s2019)Active • 4 employees • San Francisco, CA, USA
    Index is a dashboard builder for your business metrics. It's super fast, polished and collaborative.
    artificial-intelligence
    saas
    b2b
    analytics
    data-visualization
  • Tile
    Tile (w2024)Active • 2 employees • New York, NY, USA
    Create production-grade data automations and applications without writing SQL or code
    artificial-intelligence
    saas
    analytics
    big-data
    operations
  • Pave (w2016)Active • 2 employees • Kitchener, ON, Canada
    We turn your Google Analytics data in actionable insights + reports with our data science AI algorithm. We're a Y Combinator-backed company, and our users include Four Seasons Private Residences and Scribd.
    analytics
  • Riveter AI
    Riveter AI (f2024)Active • 2 employees • San Francisco, CA, USA
    Riveter is the copilot for corporate strategy. We help growth stage companies like Gusto accelerate strategic decision making, using deep market research and analysis. Riveter's analysis includes extraction and segmentation of data from 10-Ks, Investor Day decks, and other official sources. We go beyond Capital IQ to extract and calculate key company-specific metrics like gross margins, CAC, CAC payback period, ACV, customer counts, and more. Dive deeper into company documents and Riveter data with Peter, our AI Analyst.
    artificial-intelligence
    b2b
    analytics
    market-research
    ai
  • Canvas
    Canvas (f2024)Active • 3 employees • San Francisco, CA, USA
    Canvas empowers Customer Success teams to work 10x faster with automated insights, health monitoring, and engagement tools. From tracking product usage and predicting churn to identifying upsell opportunities, generating custom dashboards and reports, scheduling check-ins, and preparing for renewals, Canvas enables CSMs to drive client retention and growth—all through a seamless, chat-based interface.
    artificial-intelligence
    saas
    customer-success
    analytics
    enterprise
  • PromptLoop
    PromptLoop (w2022)Active • 2 employees • San Francisco, CA, USA
    PromptLoop brings AI data analysis to everyday spreadsheet users, turning complex tasks like web scraping and text processing into straightforward functions or a simple file drag-and-drop system. Its clear-cut approach means investors, researchers, and businesses can enrich and add to their datasets without the steep learning curve, making meaningful analysis more accessible. This straightforward tool supports informed decision-making by simplifying data enrichment and market research, creating value for its users without the typical hassle.
    artificial-intelligence
    fintech
    generative-ai
    saas
    market-research
  • Vizzly
    Vizzly (s2022)Acquired • 4 employees • London, UK
    Vizzly provides customer-facing analytics for modern SaaS. The platform offers the same level of flexibility as an in-house development process with minimal technical overhead required.
    developer-tools
    saas
    b2b
    analytics
    api
  • Trendpop
    Trendpop (w2021)Acquired • 10 employees • San Francisco, CA, USA
    Trendpop is the leading analytics and insights platform for short-form video marketing. We’re on a mission to help anyone go viral on social video platforms. We’re a deeply technical team that has taken a data-first approach to this problem: our core engine has collected over a billion social video posts that are analyzed with state-of-the-art algorithms to understand the recommendation algorithms that power virality. Trendpop was co-founded by Yoav Zimmerman (CEO) and Jonathan (Yoni) Ben-tzur (CTO) in August 2020, raising money from YCombinator (W21) to build Trendpop and growing to profitability in 12 short months. In January 2022, Trendpop was acquired by Collab, a veteran company in the digital creator space and an official TikTok creative and marketing partner. Today, Trendpop powers the TikTok marketing programs of top major record labels in North America and is quickly expanding to new markets in the film, television, beauty, and DTC eCommerce industry. Trendpop is currently used by leading marketing and A&R professionals in the music industry (both indie and major) to help their artists go viral on TikTok and hundreds of brands and creators who consistently win on social video.
    analytics
    social-media
    music
    creator-economy
  • Smarking
    Smarking (w2015)Acquired • 17 employees • San Francisco, CA, USA
    Smarking is a group of hyper-driven MIT PhDs, data scientists, engineers, transportation experts, and battle-tested business professionals working to solve the notorious parking problem via a unique enterprise approach. Smarking aims to enable highly efficient urban mobility by digitizing parking spaces and distributing parking inventory dynamically, in order to get the world ready for the connected, shared, and autonomous future. Backed by top VCs like Y Combinator and Khosla Ventures, Smarking has brought its solution to over 2,500 parking locations across North America. For the first time, cities, parking asset owners, and parking operators can make data-driven decisions easily. Smarking also launched the industry’s first fully automatic dynamic pricing engine, producing 40%-400% revenue uplifts for online sales at at parking locations Chicago, NYC, Boston, and many other cities.
    saas
    ai
  • Chartio
    Chartio (s2010)Acquired • 40 employees • San Francisco, CA, USA
    Chartio is a cloud-based data exploration solution for all. Easily connect your data and create powerful dashboards in minutes, without any SQL knowledge.
    analytics
  • Hublo (s2014)Acquired • 2 employees • Paris, France
    Hublo (www.hublo.com) is making data-driven marketing simpler. It's a super simple tool, allowing marketers to set-up analytics, monitor precisely what's happening on their website and launch remarketing campaigns without relying on their IT teams.
    analytics
    marketing
  • Custora (w2011)Acquired • 11 employees • New York, NY, USA
    Custora is an advanced segmentation platform designed to help online retailers better understand and market to their customers. We’re on a mission to remove the “mass” from marketing with software tools that focus on customers as individuals with unique needs and interests. Our software employs the state-of-the-art in customer analytics methodologies and integrates directly with marketing tools (ESPs, display, Facebook Custom Audiences, Google Customer Match) to help marketers deliver more relevant, meaningful communications. We’re excited to work with some of the leading retail innovators including Teleflora, Bonobos, 7 for All Mankind, and many more retailers spread throughout the world. Our offices are located in the Flatiron district of Manhattan. We work hard, work together, and care deeply about building a meaningful business, collaborative team, and exceptional culture that we’re proud to be a part of. And yes, we're hiring. Check out https://www.custora.com/careers for details.
    e-commerce
    analytics
    retail-tech
  • Pagelever (s2011)Acquired • 11 employees • San Francisco, CA, USA
    PageLever is the leading analytics platform for measuring your brand’s presence on Facebook. 4 of the top 10 Facebook pages rely on PageLever, as well as brands like YouTube, MTV, and Intel. In January 2013, PageLever was acquired by Unified Social.
    analytics
    social