Realtime company and people data enrichment
Crustdata provides live company and people data via APIs. We make hard to get data easy to use at scale. We have developed technology that allows us to pipe in live data from over a dozen different data sources and deliver this data instantly to our customers. We serve use cases like: automatic pipeline building, pipeline prioritization, champion watching, company and people triggers for sales and marketing automation, investment deal sourcing Our goal is index all the important data on the web and deliver it to customers in an easy-to-use way.
Active Founders
Abhilash Chowdhary, Co-founder and CEO
Love to build - from PB scale data pipelines to self-driving trucks! Recently, started loving selling software. Lucky to be a founding/early engineer at 3 startups with exits. Led the Robotics team at Serve Robotics (NASDAQ:SERV) as one of the founding members. Led the Robotics team at Postmates X (acquired by Uber). Was founding robotics engineer at CMU spin-off startup Robotwits (acquired by Waymo). Prior to that, built petabyte scale data pipelines at Yahoo!. BS in CS from IIIT Hyderabad.
Manmohit Grewal, Founder
Co-founder of Crustdata, a real-time company and people data platform. Previously built data products for POS and D2C brands, helping companies make data-driven decisions. Northeastern CS grad
Chris Pisarski, Founder
Multiple time founder. I was on the founding team and was the ex-Interim CEO of PrivCo, a VC-backed data platform. Previously, I was Head of Product and Head of Sales. Cornell grad
Company Launches
TL;DR
We’re building Crustdata which provides live company and people data via APIs and webhooks. We let you watch, enrich, or search for any person or company on LinkedIn - and get updates in real-time.
🚩 Problem
Getting fresh, reliable, accurate B2B data at scale is hard.
In 2024, data needs to be live and pinpoint accurate, but most data platforms source from unreliable, poorly maintained 3rd party sources. And the data isn’t updated frequently — monthly, if you’re lucky.
Any company trying to add an intelligence layer to their system or process needs data.
Problem: it’s an incredible technology challenge to do that at scale.
✅ Solution
We have developed technology that allows us to index and pipe in live data from almost any data source. Currently, we do this at scale from sources including LinkedIn, the SEC, funding announcements and milestones, employee ratings, product reviews, web traffic - and deliver this data instantly to our customers.
Our technology also enables you to ‘watch’ companies and people on a live basis. Get monthly, weekly, daily, hourly, or instant updates when a predefined event happens.
Events like:
- Company grows or declines in headcount
- Company grows in headcount by certain role
- Company grows in certain headcount in specific regions
- Company hires for specific technologies or titles in specific regions
- Company lists a job posting for a certain title or technology
- Company announces or closes funding round
- Company gets a new product review
- Person changes jobs
- Person gets a promotion
- Person adds a new skill
- Company or Person makes a LinkedIn post
▶️ Demo
🕰️ Why now
Clean, fresh, and accurate data is becoming increasingly important. The age of AI is producing whole new product lines and allowing companies to make their sales process smart.
There are AI SDR companies that are totally reliant on fresh, primary source data to run their whole process.
B2B sales teams are depending on appropriate triggers to make sure they are reaching out to the right person at the right time.
Customer success teams need to track key personnel at their customers, in real-time.
Growth equity investors are shifting towards in-house data stacks and models to do their entire deal sourcing.
Early stage startups need a data-driven approach in GTM research to identify the right market they can plant their wedge in.
🧑🏽🤝🧑🏻 Team
We have a decade plus experience building our own separate VC-backed data products. We have spent an inordinate amount of time on the problem which has allowed us to have a unique insight and experience that is tough to replicate.
🌟 Big vision
The majority of knowledge work in future will be done by AI agents. Our goal is to wield the web as the data warehouse for the AI agents of the future, starting with people and company data.
🙋♂️Learn more:
Check out our data and API docs if you’re interested: www.crustdata.com
