Data context startup Connecty AI secures $1.8m in funding

Connecty AI, founded by Aish Agarwal and Peter Wisniewski (pictured), extracts and connects context from multiple data sources while integrating human feedback, building a context graph for enterprises. The platform then uses this context to automate data tasks across various roles.

The system operates continuously, generating recommendations within data pipelines, updating documentation, and finding hidden insights within data, and aims to help teams reclaim time spent on manual analysis.

The funding round was led by Market One Capital, with participation from Notion Capital and individuals including Marcin Zukowski, co-founder of Snowflake.

Connecty AI plans to  expand its context engine’s capabilities across additional data sources and offer it as a service via API.

"Our experience has shown us that effective data management is about more than just technology – it’s about connecting the dots between data sources, business objectives and the people who use them," said Aish Agarwal, chief executive, Connecty AI. "Any ad-hoc ‘guerrilla style experimentation’ with LLM data agents can lead to a pilot application but it’s a lot harder to build a production level application that is reliable."

Jacek Łubiński, partner at Market One Capital, said: "The platform’s ability to unify and contextualise data across fragmented systems presents a massive opportunity for businesses looking to use LLMs for data workflow automation. The vision Aish and Peter have resonates with us and we're excited to support them on the journey."