Precog, data science platform is a company.
Key people at Precog, data science platform.
Precog, data science platform was founded by Jason Spinell (Co-founder / VP Business Development & Finance).
Precog, data science platform was founded by Jason Spinell (Co-founder / VP Business Development & Finance).
Key people at Precog, data science platform.
Precog is an AI-powered, no-code ELT (Extract, Load, Transform) platform that automates data ingestion from over 2,000 SaaS APIs and complex sources, delivering analytics- and AI-ready data to warehouses like Snowflake, Amazon Redshift, Google BigQuery, and SAP Datasphere.[1][2][3][4] It serves enterprises across industries including healthcare, finance, manufacturing, energy, consumer products, and clients like Honda, Newmont Mining, and Embraer, solving the challenges of manual ETL processes, schema changes, broken pipelines, and data silos that delay analytics and AI initiatives.[1][4] By using machine intelligence for rapid connector generation and schema detection, Precog enables 10x faster data preparation without coding, with recent growth including $10.3M in funding, support for 6,000+ connectors, and expansion to 1,500+ SaaS integrations—five times the market standard.[1][2]
Precog, founded in 2020 and headquartered in Boulder, Colorado, evolved from SlamData, rebranding to focus on its AI-driven data integration platform.[1][2] The idea emerged from recognizing the explosion of complex data sources like SaaS APIs, IoT, and NoSQL databases over the past 15 years, which traditional tools handle via labor-intensive manual work rather than scalable automation.[3] Built by a global team of engineers, mathematicians, and technology leaders, Precog pioneered solutions using Multi-dimensional Algebra, Scalar Evaluation (Tectonic), and advanced schema detection (Scion) to automate ELT.[2][3] Early traction included surpassing 6,000 connectors by 2021 and securing funding amid client wins in key sectors, marking pivotal growth.[1][2]
Leadership includes CEO Jeff Carr, Chief Product Officer Becky Conning, COO Mike Corbisiero, CFO Stewart McGrath, SVP Global Sales Grant Hornung, and VP Alliances Bryan Lenker.[3]
(Note: Booz Allen's Precog™ is a distinct workflow tool for HPC/GPU pipelines, unrelated to this data platform.[5])
Precog rides the surge in data complexity and AI adoption, where enterprises juggle 20-50 SaaS apps but face integration bottlenecks that block analytics, operations, and AI training.[3][4] Its timing aligns with the shift from ETL to ELT and the need for automated, schema-agnostic tools amid frequent API changes and exploding sources like IoT/NoSQL.[1][3] Market forces favoring Precog include the data engineer shortage—replaced by scalable math/AI automation—and demand for AI-ready data, positioning it ahead of labor-heavy competitors.[2][3] By enabling faster decision-making for firms like Newmont and Embraer, Precog influences the ecosystem, reducing reliance on multiple integration vendors and accelerating AI inference across sectors.[1]
Precog is poised to dominate no-code ELT as AI agents and real-time analytics demand instant, clean data from fragmented sources. Next steps likely include further connector expansion beyond 6,000, deeper AI enhancements for semantics, and global scaling via partnerships like SAP.[1][6] Trends like multimodal data growth and edge AI will amplify its edge, potentially evolving it into a full data orchestration leader—unlocking enterprise data for transformative AI while outpacing manual alternatives.[3][4] This positions Precog as the scalable fix to data's "human labor trap," fueling the analytics revolution from day one.
