Tradeverifyd is a technology company.
Tradeverifyd has raised $8.0M across 1 funding round.
Tradeverifyd has raised $8.0M in total across 1 funding round.
Tradeverifyd has raised $8.0M in total across 1 funding round.
Tradeverifyd's investors include 2048 Ventures, Bread and Butter Ventures, Cedar Capital Group, Construct Capital, Cyberstarts VC, Flybridge Capital Partners, Greycroft, Insight Partners, Meron Capital, NOMO Ventures, Salesforce Ventures, TLV Partners.
Tradeverifyd is a technology company building an AI-powered platform for supply chain risk management. It serves enterprise leaders in procurement, compliance, and operations across industries like automotive, high tech, and food & beverage, solving problems such as supply chain disruptions, regulatory non-compliance, and lack of visibility into multi-tier suppliers.[1][2][3][5] The platform combines open-source intelligence, public records, and customer data to deliver real-time risk intelligence, the proprietary Tradeverifyd Score for supplier reliability, predictive mitigation strategies, and compliance tools like USMCA/CAFTA-DR reports—trusted by a dozen Fortune 500 companies with a privacy-preserving architecture that keeps data isolated and secure.[1][2][3][5] Recent product launches, including multi-tier mapping and AI-driven predictive intelligence, mark strong growth momentum, fueled by an $8 million Series A funding round in 2025.[4][5]
Tradeverifyd emerged from mesur.io, where advanced capabilities were initially developed for government customers before pivoting to enterprise supply chains.[4] Founded by Mike Prorock (CEO), the company leverages his expertise in AI, machine learning, and supply chain intelligence, as highlighted in discussions on AI agents and blockchain for global trade.[5][7] Key early traction came from integrating OpenCorporates data, which accelerated go-to-market by six months, simplified data architecture, and enhanced AI-driven supplier verification—enabling faster risk detection at scale.[3] The $8M Series A, led by Silicon Road VC and Bread & Butter Ventures with participation from Acronym, Techstars, and a100x, provided pivotal funding to transform standards in global supply chain risk management amid rising geopolitical and regulatory pressures.[4]
Tradeverifyd rides the wave of AI-driven supply chain resilience, addressing escalating challenges from climate change, geopolitics, and regulations that demand deeper visibility into global networks.[1][4][5] Timing is ideal amid U.S. customs pressures, illicit trade (e.g., fentanyl), and trade agreement complexities, where manual processes fail—Tradeverifyd's AI scales analyst teams exponentially via parallel agents and knowledge graphs.[3][4][7] Market forces like rising tariffs and responsible sourcing favor its tools, influencing the ecosystem by setting new proactive standards; integrations with data like OpenCorporates empower faster decisions, protecting revenue for Fortune 500s and accelerating industry-wide transparency.[1][3][5]
Tradeverifyd is poised to expand its platform with deeper AI personalization and blockchain enhancements, targeting broader adoption in high-stakes sectors amid intensifying global disruptions.[4][7] Trends like LLM-enabled scaling and regulatory scrutiny (e.g., expanded trade rules) will amplify its edge, potentially evolving it into the de facto intelligence layer for enterprise supply chains—turning risk into competitive advantage as it builds on Series A momentum.[1][3][4] This positions Tradeverifyd to lead the shift from reactive firefighting to predictive mastery in an increasingly volatile world.
Tradeverifyd has raised $8.0M across 1 funding round. Most recently, it raised $8.0M Series A in January 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jan 1, 2025 | $8.0M Series A | 2048 Ventures, Bread and Butter Ventures, Cedar Capital Group, Construct Capital, Cyberstarts VC, Flybridge Capital Partners, Greycroft, Insight Partners, Meron Capital, NOMO Ventures, Salesforce Ventures, TLV Partners, Y Combinator |