Manufacturing
Aish Agarwal and Peter Wisniewski founded Connecty AI in 2024 as a result of their mutual, obvious frustration with data chaos. The duo observed the inefficiencies that plague enterprises dealing with massive, scattered data stores—data that holds vast potential but remains largely untapped. Connecty AI aims to change that by transforming how businesses approach data management. Backed by a recent $1.8 million pre-seed funding round led by Market One Capital, with additional investment from Notion Capital and seasoned data experts Marcin Zukowski (co-founder of Snowflake) and Maciej Zawadzinski (founder of Piwik PRO), Connecty AI is setting out to streamline the data complexity for enterprises across industries.
“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,” explains CEO Aish Agarwal. This perspective drives Connecty’s vision of creating a data ecosystem where information flows meaningfully, with insights emerging organically from a robust, interconnected “context engine.”
A New Approach to Data Understanding
At the heart of Connecty’s offering is its context engine—a sophisticated tool that enables organizations to gather, link, and interpret data from various sources seamlessly. The engine functions as a real-time “context map,” actively drawing in insights across a company’s diverse data streams while incorporating user feedback. By blending machine learning with structured and unstructured data, Connecty constructs a personalized, comprehensive context layer for each client, vastly reducing the need for repetitive data prep work.
