Jiga, used by NASA and backed by Y Combinator, secures $12M Series A to accelerate hardware for AI systems
The platform parses engineering drawings, flags risks, and matches orders with vetted manufacturers.
Hardware development has become the unexpected choke point in the race to build advanced artificial intelligence. While software teams can deploy autonomous agents in hours, engineers building the physical systems that underpin AI - servers, enclosures, robotics hardware, aerospace components - often wait weeks for a single quote on custom parts. In industries where 80–90% of components are outsourced and demand is rising sharply, the delay has become a structural bottleneck.
Israeli startup Jiga, an AI-native sourcing platform used by NASA, Siemens, and companies across aerospace, defense, and robotics, has raised a $12 million Series A to close that gap. The round was led by Aleph, with participation from Symbol and Y Combinator.
According to the company, sourcing delays are not the result of talent shortages but of manual coordination: engineering drawings buried in PDFs, specifications spread across email threads, and quotes arriving in incompatible formats. These workflows have proved resistant to automation, until now, according to Jiga.
Founded by Adar Hay (CEO), Yonatan Wolowelsky (CTO), and Assaf Geuz (COO), Jiga centralizes the entire procurement process into a single platform. Engineers upload drawings and specifications; Jiga’s system extracts technical requirements, flags risks early, and matches orders with vetted manufacturers. The company serves as the vendor of record, giving engineering teams one interface and one accountable supplier.
The platform’s AI compiles all communications, documentation, and supplier interactions into a unified view. The result, the company says, is a compression of sourcing timelines from weeks to hours, at significantly lower cost. Thousands of RFQs a month now move through the system for some of the world’s most demanding hardware organizations.
“Hardware can’t keep pace if engineers chase quotes instead of design, and supply chain teams are buried in spreadsheets instead of strategy,” said CEO Adar Hay. “We’re eliminating the administrative burden so teams can move at AI-era speed.”
