Precog is a technology company.
Precog has raised $2.8M across 2 funding rounds.
Precog has raised $2.8M in total across 2 funding rounds.
Precog has raised $2.8M in total across 2 funding rounds.
Precog's investors include MATH Venture Partners, Techstars, The General Partnership, The Hit Forge, Collaborative Seed & Growth Partners, eonCapital, Foundry Group, Hack VC, Practical Venture Capital, Race Capital, Uncorrelated Ventures, Venture Guides.
Precog is an AI-powered ELT (Extract, Load, Transform) platform that automates data ingestion and integration from over 2,000 SaaS APIs, delivering analytics- and AI-ready data to warehouses like Snowflake, Amazon Redshift, and Google BigQuery.[1][2][5] It serves enterprises across industries such as healthcare, finance, manufacturing, energy, and consumer products, solving the problem of complex, schema-changing data sources that overwhelm traditional ETL tools with manual coding and maintenance.[1][3][5] Customers like Honda, Newmont Mining, and Embraer use Precog to access siloed data for decision-making, operations, and AI training, with the company showing strong growth through $10.3M in funding, expansion to 6,000+ connectors, and a Boulder, CO headquarters with ~30 employees.[1][2]
Precog, founded in 2020 in Boulder, Colorado, evolved from SlamData, building on innovations in handling complex object data from APIs, SaaS apps, IoT, and NoSQL databases.[1][4] The idea emerged from recognizing that data complexity had exploded over 15 years, forcing companies to hire more data engineers for manual integrations rather than scaling with automation.[3] A global team of engineers, mathematicians, and leaders developed Precog's core using Multi-dimensional Relational Algebra (MRA), Tectonic for scalar evaluation, and Scion for schema detection, marking a pivot to no-code ELT.[2][3][4] Early traction included surpassing 1,500 integrations (five times market standard) and serving major enterprises, fueled by funding from investors like Venture Guides.[1]
Precog rides the wave of exploding data complexity from SaaS proliferation and AI demands, where legacy tools fail on dynamic APIs and object schemas, creating blind spots in reporting and model training.[3][5] Timing is ideal amid the AI boom, as enterprises need clean, semantic data for agents and inference without engineer bottlenecks—Precog automates what others outsource to labor.[1][3] Market forces like API schema volatility and integration backlogs (20-50 apps per company) favor its no-code speed, while integrations with Snowflake and BigQuery position it in the $10B+ data integration space.[1][5] It influences the ecosystem by democratizing data access, freeing teams for high-value analytics and accelerating AI adoption in sectors like manufacturing and energy.[1][4]
Precog is poised to dominate ELT automation as AI agents demand ever-fresher, broader data pipelines, potentially expanding to 10,000+ connectors and deeper IoT/NoSQL support.[1][3] Trends like agentic AI and multi-cloud warehouses will amplify its edge, with leadership (CEO Jeff Carr, CPO Becky Conning) driving global sales growth beyond its $10M+ funding.[1][3] Influence may evolve from niche integrator to ecosystem standard, powering enterprise AI at scale—echoing its origin as the math-based antidote to data chaos, now fueling the analytics revolution.[3][4]
Precog has raised $2.8M across 2 funding rounds. Most recently, it raised $2.0M Series A in May 2012.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2012 | $2.0M Series A | MATH Venture Partners, Techstars, The General Partnership, The Hit Forge | |
| Oct 1, 2011 | $750K Seed | Collaborative Seed & Growth Partners, eonCapital, Foundry Group, Hack VC, MATH Venture Partners, Practical Venture Capital, Race Capital, Techstars, The General Partnership, The Hit Forge, Uncorrelated Ventures, Venture Guides |