A startup aiming to bring product analytics to apps powered by large language models has been backed by Google.
GV (Google Ventures) and Tomasz Tunguz of Theory Ventures led the 拢2.8 million round into London-based Context.ai.
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.
Context.ai co-founder and CEO Henry Scott-Green says we鈥檙e at an inflection point in the adoption of AI and LLMs and, 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.聽
鈥淭he 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,鈥� said Context.ai co-founder and CTO Alex Gamble.
鈥淢aking sense of this mountain of unstructured words poses an entirely new technical challenge for businesses keen to understand user behaviour. Context.ai offers a solution.鈥�
Companies including Cognosys, Lenny鈥檚 Newsletter, Juicebox and ChartGPT use Context.ai for product analytics.
The round included 20SALES, Harry Stebbings (founder, 20VC), Guy Podjarny (founder, Snyk), Victor Riparbelli and Steffen Tjerrild (founders, 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).聽
The investment will allow it to continue to scale its engineering team.
鈥淩apid developments in AI allow people to interact with more products through natural language, but many product teams struggle to understand user behaviour,鈥� said GV partner Vidu Shanmugarajah.聽
鈥淲e鈥檙e 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.鈥�