Context.ai Raises $3.5M from GV (Google Ventures) and Theory Ventures to Bring Product Analytics to LLM-Powered Applications

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.  

Product Analytics Enable Better AI

We’re at an inflection point in the adoption of AI and LLMs. During this period of rapid change, product developers require a deep understanding of their users and their products' performance in order to build great experiences for their customers. This understanding is often missing today, but Context.ai provides an answer. “It’s hard to build a great product without understanding users and their needs,” said Context.ai Co-Founder and CEO Henry Scott-Green. “Context.ai helps companies understand user behavior and measure product performance, bringing crucial user understanding to developers of LLM-powered products.” 

Context.ai lets businesses track frequently discussed conversation topics, identify where their product is performing well versus poorly, debug bad conversations, monitor brand risks, understand user retention, and measure the impact of new releases. 

“The current ecosystem of analytics products are built to count clicks. But as businesses add features powered by LLMs, text now becomes a primary interaction method for their users. Making sense of this mountain of unstructured words poses an entirely new technical challenge for businesses keen to understand user behavior. Context.ai offers a solution,” said Context.ai Co-Founder and CTO Alex Gamble. 

Companies including Cognosys, Lenny’s Newsletter, Juicebox, and ChartGPT rely on Context.ai for product analytics to help them better understand and improve their LLM-powered applications. “Prior to integrating Context.ai, we struggled to gain meaningful insights from the large amounts of data generated by our platform. It was difficult to understand exactly how users were interacting with the system and what they were trying to accomplish,” said Sully, CEO of Cognosys. “With Context.ai, we are able to derive more insights into how users interact with our product. This has been huge for understanding our users better, so we can focus on the areas that matter.”

Accelerating Our Growth

Context.ai's fundraise included participation from investors and operators we’re so grateful to be learning from, including - 20SALES, Harry Stebbings (Founder, 20VC), Guy Podjarny (Founder, Snyk), Victor Riparbelli (Founder, Synthesia), Steffen Tjerrild (Founder, Synthesia), Mehdi Ghissassi (Head of Product, Google DeepMind), Matt Robinson (Founder, GoCardless & Nested), Milos Rusic (Founder, deepset), Jacob Bank (Founder, Relay), Devvret Rishi (Founder, Predibase), and Sean Mullaney (CTO, Algolia). This investment will allow us to continue scaling our engineering team, so we can better provide the tools and the confidence companies need to adopt AI in an enterprise setting.

“Context.ai solves a problem I’ve seen repeatedly — businesses developing AI products without a clear sense of who is using them and why. It’s challenging to iterate towards product market fit without a strong understanding of who your users are and why they’re using your product. That’s what Context.ai provides,” said Tomasz Tunguz, Founder of Theory Ventures. 

“Rapid developments in AI allow people to interact with more products through natural language, but many product teams struggle to understand user behavior,” said GV Partner Vidu Shanmugarajah. “We’re pleased to invest in Context.ai as they continue to build a highly differentiated product for the rapidly developing AI stack and make it possible for customers to deliver superior and safer user experiences.”

Security And Privacy Remain Top Priorities

Privacy and security are top priorities for Context.ai. We’re pleased to announce that we have now achieved SOC2 certification, the gold standard for information security. And to further improve user privacy, transcripts have personally identifiable information detected and deleted during ingestion.

Visit context.ai to learn more about the product and to discover opportunities to join the team.