Connecty AI has emerging from stealth with $1.8 million in pre-seed funding – having developed a context engine that tackles the inherent complexity in enterprise data.
The round was led by Market One Capital, with participation from Notion Capital and data industry experts including Marcin Zukowski, co-founder of Snowflake and Maciej Zawadzinski, Founder of Piwik PRO.
“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, Connecty AI.
Connecty AI 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. This context is leveraged to automate data tasks across various roles, using a personalized 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.
The platform connects data warehouses like Snowflake or BigQuery in less than five minutes with no-code deployment.
The timing of Connecty’s emergence from stealth aligns with growing market demand. According to Future Markets Insights, the global AI Analytics market is projected to grow at a CAGR of 22.6%, reaching $223 billion by 2034.
Looking ahead, Connecty AI will expand its context engine’s capabilities across additional data sources and offer it as a service via API.
