kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support. We enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.
Emil is the co-founder and CEO of kapa.ai (S23). Previously worked as an Engagement Manager at McKinsey & Company. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from London School of Economics (both with Finn!). đź‘‹
TL;DR: We make it easy for developer-facing companies to build AI support bots for their community. Teams at OpenAI, Airbyte and NextJS use kapa.ai to help onboard new users and reduce support.
We’re Finn and Emil, the co-founders of kapa.ai. 👋
The idea to build kapa.ai initially came from a friend that runs a developer-facing company complain about the amount of “read the f’ing manual” questions they get and how much of their engineers’ time that costs.
We’ve built a full retrieval augmented generation stack that enables developer-facing companies to ingest any technical sources into an LLM and expose it to their community where they have questions.
The bread and butter of what we’ve been building is a super scalable and state-of-the-art crawling infrastructure to ensure high quality data is kept up to date and compatible with LLMs.
Here are a few examples of how companies are deploying kapa.ai:
In addition to reducing support, we’re also helping companies identify gaps in their documentation and products by analyzing the answers of their kapa.ai bot.
We met +6 years ago in London and ended up doing two master’s degrees together: (1) Finance at London School of Economics, and (2) Computer Science at Imperial College London.
While building kapa.ai, Finn (CTO) leans towards doing most of the engineering, bringing his experience from building low-latency trading systems at Bloomberg, although he also did sales at Goldman Sachs and JPMorgan. Emil (CEO) handles most of the business, bringing his experience as an Engagement Manager at McKinsey & Company, but also ships, which he learnt while building applied AI systems at startups.
We’d love to help your company deploy a kapa.ai bot (takes less than 24hrs!). And we’re always looking to connect with folks at developer-facing companies if you’d be up for making an intro.
Reach us at founders@kapa.ai or sign up for access here and mention “YC Launch” Thank you so much.