Connecty AI raises USD $1.8m to transform data management

Connecty AI has announced the completion of a USD $1.8 million pre-seed funding round. The company aims to address the complexities of enterprise data through its context-aware platform.

In recent years, the market has seen a surge of AI-powered data tools, most of which aim to replace data analysts. However, these tools have generally struggled to manage the fragmented data pipelines prevalent in enterprise systems, often leaving data teams spending around 87% of their time organising data. Enterprises, on average, expend approximately USD $4.6 million annually on manual data analysis. Connecty AI's solution looks to shift this dynamic.

The pre-seed funding round was led by Market One Capital and included participation from Notion Capital. Additional backing came from data industry experts such as Marcin Zukowski, co-founder of Snowflake, and Maciej Zawadzinski, Founder of Piwik PRO.

Connecty AI's proposition involves navigating enterprise data's complexities, which span horizontal data pipelines, diverse consumption patterns, and distributed knowledge across various professional roles, like data engineers and analysts. This is achieved through a context engine that connects and offers context across these fragmented systems.

Aish Agarwal, CEO of Connecty AI, explained, "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. 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."

The company focuses on extracting and integrating three-dimensional context from various data sources while incorporating real-time human feedback. This approach generates an enterprise-specific context graph, which is then used to automate data tasks and facilitate informed decision-making with personalised recommendations.

Nicolas Heymann, CEO of Kittl, shared his experiences during the prototype development, stating, "Our data complexity is growing fast, and it takes longer to data prep and analyse metrics. We would wait 2-3 weeks on average to prepare data and 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!"

Aditya Upadhyay, Director of Analytics at Mindtickle, also noted positive outcomes from using Connecty AI: "We were impressed with the accuracy of responses from day one. Additionally, Connecty AI generated excellent suggestions to improve the schema descriptions and enhanced our semantic layer. It offers a unified flow from prep to querying, nothing like that we've seen anywhere else."

The enterprise was founded by Aish Agarwal and Peter Wisniewski, who combined their experiences in data management to create Connecty AI. Both founders emphasised the importance of tackling data complexity rather than replacing human input, reflecting a market need for enhanced data solutions.

Jacek Łubiński, Partner at Market One Capital, commented on the investment, "We are thrilled to back Connecty AI as they redefine enterprise data management with their deep context learning. 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."

Connecty AI plans to expand its context engine capabilities further and offer these through API services. Such developments are anticipated in response to the projected growth in the global AI Analytics market as organisations increasingly seek effective data solutions.