Context.ai Raises $3.5M for Generative AI Analytics
Generative AI analytics platform Context.ai has raised $3.5 million in a seed funding round led by GV, formerly Google Ventures, and Theory Ventures. Context.ai plans to leverage the new funding to continue developing its product analytics platform designed specifically for businesses using large language models (LLMs).
Context.ai’s platform aims to provide necessary insight into user behavior to developers building products powered by LLMs like ChatGPT. As more companies adopt conversational AI and text-based interfaces, understanding unstructured user data represents a new challenge. The analysis lets businesses track conversation topics, monitor performance, identify issues, assess brand risks, understand retention, and measure new release impact.
“It’s hard to build a great product without understanding users and their needs,” Context.ai co-founder and CEO Henry Scott-Green said. “Context.ai helps companies understand user behavior and measure product performance, bringing crucial user understanding to developers of LLM-powered products.”
The ultimate goal is to solve the issue of building AI without understanding the users ahead of time. Context offers security assurances to its clients, including AI tutor Cognosys and newsletter tool Lenny, with its recent SOC2 compliance for information security and additional measures in place to protect user privacy. Context.ai plans to use the new capital to expand its engineering team and continue developing the analytics layer for generative AI. Its founders said providing solutions to analyze unstructured text interactions is critical as more companies introduce conversational interfaces.
Context.ai fits into the growing number of generative AI startups focused on the way enterprise technology incorporates LLMs and their products. For instance, Modular recently raised $100 million for its efforts at streamlining generative AI infrastructure. There’s also Prolific, whose recent $32 million raise will help it expand its network of LLM testers, as well as Vendict and the $9.5 million it raised to automate security compliance with AI.
“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,” co-founder and CTO Alex Gamble said. “Context.ai offers a solution.” 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.”