Definite Secures $10 Million Seed Funding for Innovative AI Data Solutions
In a significant move to transform enterprise analytics, Definite, a pioneering AI-native data platform, announced it has successfully closed a $10 million seed funding round. This funding was led by Costanoa, with contributions from Acrew Capital and other strategic investors. The resources garnered from this financing round are poised to expedite product development and expand the go-to-market strategy as Definite aims to broaden its reach within enterprises.
Most modern companies find themselves utilizing a convoluted array of data tools, often expensive and complex, including data warehouses such as Snowflake, ETL services like Fivetran, and business intelligence platforms similar to Looker. Definite seeks to streamline this process by offering a comprehensive, AI-native platform that integrates a secure data lake, efficient data pipelines, and intuitive dashboards. This innovation allows businesses to connect their existing tools effortlessly and obtain real-time answers in just minutes, making it ten times faster and more cost-effective than the traditional method of combining several different products that often require extensive data team support.
Mike Ritchie, CEO and Founder of Definite, emphasized the need for simplicity in analytics, stating, "Teams shouldn't need six months, a half-million-dollar budget, and a team of engineers to get answers about their business. We built Definite to make analytics radically simpler. With open-source technology at its core and AI driving every interaction, we're providing teams with the ability to inquire without complex SQL queries."
Built on robust, petabyte-scale open-source infrastructure, Definite is SOC 2 Type II compliant, ensuring secure, rapid, and efficient analytics while avoiding vendor lock-in. Early adopters, including notable companies like Perfect and Meet Alfred, have already begun to see the benefits. George Papadopoulos, CEO of Meet Alfred, shared his experience: "We went from zero to data lake in a couple of hours and had a high-performance API running just minutes later."
Costanoa's Partner, John Cowgill, reiterated the challenges many startups face, pouring significant resources into a modern data stack that still necessitates a full data engineering team for insights. Cowgill believes that Definite is the solution to these common pain points, "It's a powerful yet elegant solution that empowers business users to gain quick, flexible, and accurate insights without the usual bottlenecks. Modern teams need a robust data platform that allows for fast, self-service analytics without compromising on trust or depth."
To support its rapid growth and innovation, Definite is currently hiring across various engineering roles and aims to bolster its go-to-market team, focusing on enterprise sales. The company embraces a remote-first work environment, promoting high levels of autonomy while pursuing the mission of democratizing powerful data infrastructure for teams shaping the future.
To explore more about what Definite offers or to begin using the platform, visit
Definite's website.
About Definite
Founded in 2023, Definite stands at the forefront of modern data solutions for teams. By merging data lakes, ETL processes, and business intelligence into a unified, AI-enhanced platform, Definite enables teams to access insights swiftly and effectively. Leveraging open-source technologies like DuckDB and Apache Iceberg, it promises speed, security, and scalability.
About Costanoa
Costanoa's mission is to elevate founders dedicated to building impactful companies. They lead investments from the ground level through Series A across various sectors, including Applied AI, AI Infrastructure, Cybersecurity, National Security, and Fintech. With assets under management totaling $2.3 billion, Costanoa adopts a boutique approach, making selective investments to ensure well-rounded expertise and operational support, especially during the crucial early stages of growth. To learn more, visit
Costanoa's website.