Enterprises frequently encounter challenges with fragmented data ecosystems that limit efficiency. Connecty AI, now launching with over €1.6 million in pre-seed funding led by Market One Capital, offers a platform designed to streamline data management, aiming to reduce manual analysis by up to 80%.
The company’s context engine is designed to navigate three key dimensions of enterprise data:
- Varied data pipelines: including multi-source ingestion and data cataloguing.
- Diverse data usage patterns: spanning CRM systems, BI dashboards, and machine learning applications.
- Knowledge: distributed among various teams such as data engineers, analysts, and managers.
This approach differs from earlier AI solutions that attempted to automate data workflows but faced limitations in handling complex real-world enterprise environments.
Aish Agarwal, CEO of Connecty AI said: “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,” continuing with: “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.”
Connecty AI’s platform combines real-time human feedback with automated processes to create an enterprise-specific context graph. By continuously operating in the background, the engine aims to enhance data pipelines, documentation, and insights, helping data teams work more effectively.
The prototype has been tested with enterprises across a range of sizes, from $5 million to $2 billion in ARR, and integrates easily with data warehouses like Snowflake or BigQuery. Initial user feedback highlights faster data processing times and more actionable insights. “Our data complexity is growing fast, and it takes longer to data prep and analyze metrics. We would wait 2-3 weeks on average to prepare data extract actionable insights from our product usage data and merge with transactional and marketing data. Now with Connecty AI, it’s a matter of minutes!” said Nicolas Heymann, CEO Kittl.
Aditya Upadhyay, Director Analytics, Mindtickle. added: “We were impressed with the accuracy of responses from day one. Additionally, Connecty AI generated excellent suggestions to improve the schema descriptions and enhance our semantic layer. It offers a unified flow from prep to querying, nothing like that we’ve seen anywhere else.”
This funding aims to help Connecty AI expand its capabilities, including offering an API for further integration. “We are thrilled to back Connecty AI as they redefine enterprise data management with their deep context learning,” said Jacek Łubiński, Partner at Market One Capital. “The platform’s ability to unify and contextualize 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.”
