Context.ai helps companies understand user behavior and measure product performance, so they can build better AI products
LONDON–(BUSINESS WIRE)–Context.ai, a product analytics platform for LLM-powered applications, launched today with $3.5M in funding co-led by GV (Google Ventures) and Tomasz Tunguz at Theory Ventures.
Chatbots and other natural language products are increasingly integral to how businesses engage with their customers. As any product developer knows, building great user experiences requires visibility into user behavior and understanding of product performance โ critical insights that are often lacking for todayโs AI applications. Recognizing a void in enterprise-ready analytics solutions, co-founders Henry Scott-Green and Alex Gamble built Context.ai to provide businesses with the product analytics they need to build better AI products. โItโs hard to build a great product without understanding users and their needs,โ said Context.ai Co-Founder and CEO Henry Scott-Green. โContext.ai helps companies understand user behavior and measure product performance, bringing crucial user understanding to developers of LLM-powered products.โ
Through Context.aiโs platform, businesses can 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.
โThe 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,โ said Context.ai Co-Founder and CTO Alex Gamble.
Companies including Cognosys, Lennyโs Newsletter, and Juicebox rely on Context.ai for product analytics to help them better understand and improve their LLM-powered applications. โPrior 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,โ said Sully, CEO of Cognosys. โWith 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.โ
Context.aiโs fundraise included participation from 20SALES, Harry Stebbings (Founder, 20VC), Guy Podjarny (Founder, Snyk), Victor Riparbelli (Founder, Synthesia), Steffen Tjerrild (Founder, Synthesia), Mehdi Ghissassi (Head of Product, DeepMind), Matt Robinson (Founder, GoCardless & Nested), Milos Rusic (Founder, deepset), Jacob Bank (Founder, Relay), Devvret Rishi (Founder, Predibase), and Sean Mullaney (CTO, Algolia).
โContext.ai solves a problem Iโve seen repeatedly โ businesses developing AI products without a clear sense of who is using them and why. Itโs challenging to iterate towards product market fit without a strong understanding of who your users are and why theyโre using your product. Thatโs what Context.ai provides,โ said Tomasz Tunguz, Founder of Theory Ventures.
โRapid developments in AI allow people to interact with more products through natural language, but many product teams struggle to understand user behavior,โ said GV Partner Vidu Shanmugarajah. โWeโre 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.โ
Context.ai is committed to safeguarding user security and privacy, and is pleased to announce that Context.ai has achieved SOC2 certification, the gold standard for information security.
Visit context.ai to learn more about the product and to discover opportunities to join the team.
About Context.ai
Context.ai is a product analytics platform for LLM-powered applications, designed to help businesses understand user behavior and measure product performance so they can build better AI products. Learn more at context.ai and keep up with the latest news in product analytics for LLMs via Context.aiโs blog and LinkedIn.
Contacts
Context.ai Communications
[email protected]
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