
Paradata.io provides a machine learning platform that classifies and ranks electronic component data to optimize supply chain efficiency and cost savings. Their proprietary algorithm, PartRank™, normalizes, classifies, and scores component data to help businesses find the right parts across their supply chains. The platform includes high-performance data acquisition, adjudication algorithms, comprehensive knowledge bases, and REST-based APIs for integration with enterprise software and BI tools. Paradata is positioned as a disruptive big data AI solution for global supply chains, enabling informed decision-making to reduce costs, risks, and lead times while increasing compliance.

Paradata.io provides a machine learning platform that classifies and ranks electronic component data to optimize supply chain efficiency and cost savings. Their proprietary algorithm, PartRank™, normalizes, classifies, and scores component data to help businesses find the right parts across their supply chains. The platform includes high-performance data acquisition, adjudication algorithms, comprehensive knowledge bases, and REST-based APIs for integration with enterprise software and BI tools. Paradata is positioned as a disruptive big data AI solution for global supply chains, enabling informed decision-making to reduce costs, risks, and lead times while increasing compliance.
What they do: SaaS ML platform that normalizes, classifies, and ranks electronic component and supply-chain data (PartRank™)
Headquarters: San Jose, California
Founded: 2013
Total funding (reported): USD 25,830,000 (last round 2019-08-09)
Known founder: Scott Slinker (Founder & CEO)
Supply-chain data quality, component discovery, procurement optimization, and supply-chain risk management.
2013
SaaS, supply-chain analytics
Most recent funding date reported as 2019-08-09; total funding reported USD 25,830,000
“Richmond Global Ventures; PivotNorth Capital (Crunchbase reports three investors total)”