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Precog Data has raised $4.0M across 2 funding rounds.
Key people at Precog Data.
Precog Data was founded in 2020 by Jason Spinell (Co-founder / VP Business Development & Finance).
Precog Data has raised $4.0M in total across 2 funding rounds.
Precog Data provides an intelligent data ingest platform, automating complex extraction from diverse sources like SaaS APIs and object data. It employs Multi-dimensional Algebra, Scalar Evaluation, and advanced schema detection, transforming semi-structured data into analytics and AI-ready formats. This approach accelerates data integration, enabling enterprises to efficiently leverage modern object data.
The company emerged from the insight that escalating data source complexity lacked scalable, automated integration solutions, leading to over-reliance on manual effort. Precog was founded to counter this with a machine intelligence-driven approach, applying advanced mathematical and computational methods to automate elaborate data ingestion, overcoming traditional scalability limitations.
Precog's platform targets enterprises struggling to integrate data from numerous applications. Delivering true ELT automation, it empowers business units, from financial planning to product development, to derive insights rapidly. The company envisions organizations eliminating manual integration burdens and vendor dependencies, fostering seamless automated data flow into their operational and analytical frameworks.
Precog Data was founded in 2020 by Jason Spinell (Co-founder / VP Business Development & Finance).
Precog Data has raised $4.0M in total across 2 funding rounds.
Precog Data's investors include 468 Capital, Atypical Ventures, Global Founders Capital, HV Capital, Insight Partners, Insignia Ventures Partners, LEA Partners, lool ventures, Notion Capital, Streamlined Ventures, TLV Partners, Vera Equity.
Key people at Precog Data.
Precog Data is a technology company that builds an AI-powered, no-code ELT (Extract, Load, Transform) platform designed to automate data integration and transformation from thousands of SaaS APIs into analytics- and AI-ready formats. It serves enterprises across multiple sectors including healthcare, finance, marketing, and manufacturing, enabling them to access clean, structured data quickly for business intelligence, decision-making, and AI model training. Precog’s platform eliminates the traditional labor-intensive manual coding of data connectors by using machine intelligence to generate API connectors within hours, significantly accelerating data workflows and reducing operational bottlenecks. Its customers include major enterprises like Honda, Newmont Mining, and Embraer, reflecting strong growth momentum and broad market adoption[1][2][3][7].
Founded in 2020 and based in Boulder, Colorado, Precog was originally known as SlamData. The company was co-founded by Jeff Carr (CEO), Becky Conning (Chief Product Officer), and Mike Corbisiero (COO), among others. The idea emerged from the recognition that traditional data engineering approaches—relying heavily on manual coding and human labor—were inefficient and unscalable given the explosion of complex data sources such as APIs, SaaS applications, and NoSQL databases. Early traction came from demonstrating how AI-driven automation could drastically reduce the time and effort needed to build and maintain data integrations, enabling enterprises to unlock value from their data faster. The company has since evolved its platform and leadership to focus on delivering enterprise-ready, scalable data integration solutions[1][2][3][5].
Precog rides the growing trend of AI-driven automation in data engineering and the urgent market demand for scalable, reliable data integration to power analytics and AI initiatives. As enterprises increasingly adopt AI, the need for clean, contextualized, and comprehensive data from diverse SaaS applications becomes critical. Traditional ETL tools and manual coding approaches are no longer sufficient to keep pace with the volume and complexity of modern data sources. Precog’s platform addresses this gap by automating the entire data ingestion and transformation pipeline, effectively acting as a supply chain for the AI era. This positions Precog as a key enabler in the broader ecosystem, accelerating digital transformation and AI adoption across industries[2][5][6][7].
Looking ahead, Precog is poised to scale rapidly by expanding its team and deepening its product innovation to meet the surging demand for intelligent data integration. Trends such as the proliferation of SaaS applications, the rise of AI and machine learning, and the increasing importance of data-driven decision-making will continue to shape its trajectory. Precog’s influence is likely to grow as it helps enterprises break down data silos and deliver business-ready data at unprecedented speed and scale, ultimately becoming a foundational technology for AI-powered organizations. The company’s ongoing partnerships and enterprise-ready features suggest a future where Precog plays a central role in the data infrastructure of leading global companies[2][5][7].
Precog Data has raised $4.0M across 2 funding rounds. Most recently, it raised $2.0M Seed in August 2021.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Aug 1, 2021 | $2.0M Seed | 468 Capital, Atypical Ventures, Global Founders Capital, HV Capital, Insight Partners, Insignia Ventures Partners, LEA Partners, lool ventures, Notion Capital, Streamlined Ventures, TLV Partners, Vera Equity, WestCap, Gokul Rajaram, Konstantin von Unger, Louis Beryl, Roland Berger | |
| May 1, 2012 | $2.0M Precog - Series A | MATH Venture Partners, Techstars, The General Partnership, The Hit Forge |
