Connecty AI has emerged from stealth today with $1.8 million in Pre-Seed funding. The startup has developed a context engine that tackles the inherent complexity in enterprise data.
In the past two years, a wave of AI-powered data tools has flooded the market, each claiming to replace data analysts.
However, the reality consistently falls short of the promise. These tools are unable to interpret the fragmented, chaotic data pipelines inherent in enterprise systems.
While early AI solutions attempted to automate data workflows by interpreting complex schemas, these models fall short in enterprise environments. LLMs need more than static schema files; they require a continuously evolving, cohesive understanding across systems and teams.
Connecty AI helps teams unlock hidden insights and reclaim up to 80 per cent of time spent on manual analysis.
Connecty extracts and connects three-dimensional context from diverse data sources and use cases while integrating real-time human feedback, creating an enterprise-specific context graph.
It leverages this context to automate data tasks across various roles, using a personalised dynamic semantic system. The engine operates continuously in the background, proactively generating recommendations within data pipelines, updating documentation, and uncovering hidden metrics aligned with business goals.
“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, CEO of 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 reliable production level application.”
Market One Capital led the round, with participation from Notion Capital and data industry experts including Marcin Zukowski, co-founder of Snowflake and Maciej Zawadzinski, Founder of Piwik PRO.
According to Jacek Łubiński, Partner at Market One Capital:
“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.”
Looking ahead, Connecty AI will expand its context engine’s capabilities across additional data sources and offer it as a service via API.
Lead image: Connecty AI. Photo: uncredited.
By Tech.eu
Source: Tech.eu