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[ ABOUT ]
Procurement at hardware companies still runs on spreadsheets, RFPs in email, and SAP modules nobody likes. The cost of that is six-week sourcing cycles, missed certifications, and a Tier-1 supplier base that quietly atrophies. We're rebuilding the sourcing arc with AI at the foundation.
We sell the service, not the tool. A buyer describes what they need to source. We deliver a vetted shortlist with capabilities, certifications, compliance flags, and the data needed to make a decision. The work, in real-time, instead of three weeks of spreadsheet wrangling.
We run the full seven-stage sourcing arc that procurement teams previously hired humans to run.
Surface candidate suppliers from a continuously-indexed graph of verified manufacturers.
Score on capabilities, certifications, geography, and compliance signals (EAR, Wassenaar, NDAA, Entity List).
Surface direct contacts and brief buyers ahead of the first call.
Structure the request and route it to the right people.
Normalize responses for apples-to-apples comparison.
Hand back a defensible shortlist with the data behind every recommendation.
Track the relationship from award through onboarding.
Tech hardware companies. Drones, robots, EVs, sensors, PCBs and PCBAs, chips and semiconductor packaging, machine vision, lidar, batteries, defense systems, AI infrastructure, and IoT. The teams shipping physical products in 2026 who need to source faster than legacy procurement allows. We work with hardware startups iterating on prototypes and with F500 procurement teams running multi-million-dollar sourcing decisions. The wedge is the same: real-time supplier intelligence, the work done for you.
Most supplier directories are scraped once and rot. Ours is built and maintained by a continuously-running enrichment pipeline. Verified, deduplicated, compliance-checked, and queryable in real-time. The data moat compounds with every cycle.
The next trillion users on the internet won't be people. They'll be agents. The same supplier graph that powers our human-facing sourcing service is being made queryable by AI procurement agents via MCP. Same data moat, two distribution surfaces. Get discovered by procurement teams, and by the agents working for them.
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