At Context.ai we recently completed a $3.5M first fundraise in a heavily oversubscribed round that you can read about here. I’ve since been asked for advice by many founders about how to approach an early stage fundraising process. We were lucky to have many mentors and friends
Today we’re announcing that Context.ai has raised $3.5 million in funding co-led by GV (Google Ventures) and Tomasz Tunguz at Theory Ventures. Context.ai provides product analytics for LLM-powered applications, helping businesses build better AI products.
Working in an office is a huge competitive advantage. The default for a startup in 2023 seems to be remote-first. I think this is a mistake.
An overview of how the team at Thoughtspot uses product analytics to guide development. Jasmeet Jaggi, VP Engineering at ThoughtSpot, leads a team building ThoughtSpot Sage, a natural language search driven analytics product.
Before I started Context, I often wondered what starting a startup would be like, and how it would differ from my previous job as a Product Manager at Google. This is what a typical week looks like, and how that differs from my expectations.
As an AI startup founder in London, one of the most common questions I hear is “when are you moving to San Francisco?”. California is clearly a great place to start a startup, but in 2023 I think London is even better.
ChatGPT and ChatGPT plugins have the potential to disrupt aggregators by changing the behavior of consumers. Yet today OpenAI is leaving value on the table.
Yesterday, researchers at Stanford and Berkeley published a fascinating paper showing that LLM performance drifts over time, including significant worsening.
Today we’re announcing a Langchain integration for Context. This integration allows builders of Langchain chat products to receive user analytics with a one line plugin.
You wouldn’t launch a product or marketing site without analytics in place to track their performance with real users. Why not? Because you need to understand how real people are using your products and how well they meet user needs.
I quit my job at Google to work on the future of AI chat products. I’ve talked to approx 100 developers of LLM-powered chat products, and I’ve learned interesting lessons about the future of the space.
Chat interfaces powered by AI can deliver amazing user experiences. Companies from law to medicine and e-commerce to entertainment are building these products at breakneck pace. But while building an impressive demo has never been easier, developing a production-ready product is tough.