Connecty AI, a pioneer in context-aware data intelligence, announced a $1.8 million pre-seed funding round to support its unique approach to enterprise data management. Led by Market One Capital, with participation from Notion Capital and industry veterans such as Marcin Zukowski (Snowflake co-founder) and Maciej Zawadzinski (Piwik PRO founder), this round will fuel Connecty’s goal to “Agentize Your Data” and empower data-driven decisions.
As the world’s first context-aware AI multi-agent designed for data analysts and business users, Connecty AI redefines collaborative analysis and insight generation. Its platform leverages a three-dimensional approach, integrating fragmented data across pipelines, diverse consumption patterns, and various user roles into a unified, context-rich graph. This architecture enables data teams to reduce manual workloads by up to 80% and achieve significant time savings. With Connecty AI’s no-code deployment interface, teams can seamlessly connect databases like Snowflake or BigQuery within minutes, ensuring data security with on-premises deployment.
“We’re building a system that learns with your data, creating autonomous insights and enriched data schemas that reveal hidden metrics and enable deeper data understanding,” said Aish Agarwal, CEO of Connecty AI. “Our AI Agents empower data practitioners with everything from natural language data queries through our Queries agent, to dynamic data modeling with the Metrics agent, and real-time transformations with the Views agent.”
Early adopters of the startup's solution report enhanced data workflows and reduced time-to-insight, underscoring the platform’s potential for industries ranging from SaaS to e-commerce and healthcare. With built-in enterprise-grade security and governance, Connecty AI ensures data compliance, allowing organizations to confidently manage and scale their data while preserving data integrity and privacy.
Looking ahead, Connecty AI aims to expand its multi-agent capabilities and offer API integrations, allowing enterprises to fully unlock the value of their data ecosystems.
