How Jiga is Eliminating the Sourcing Bottleneck Choking AI-Era Scale

Jiga, an AI-native platform transforming the entire sourcing workflow, led by Adar Hay, Assaf Geuz, and Yonatan Wolowelsky, has closed a $12M Series A led by Aleph, with participation from Symbol and Y Combinator.

The team has spent years solving sourcing challenges, streamlining RFQ workflows, standardizing drawings, and enabling direct manufacturer communication, to ensure custom parts procurement no longer slows innovation in rockets, robots, satellites, and other cutting-edge hardware. By rebuilding the workflow from scratch, the platform replaces slow, unstructured processes with a modern, efficient system, addressing a critical bottleneck in a rapidly growing robotics and space economy.

Engineers upload drawings and specs, and AI extracts requirements, pulls context from communications, and flags potential risks. All information is centralized in a transparent environment where teams interact directly with vetted manufacturers and order parts through Jiga, the vendor of record. The platform automates administrative tasks, coordination, documentation, and pricing, while humans retain control over critical decisions, turning weeks of sourcing work into hours at a lower cost.

Despite being profitable, demand from aerospace, defense, robotics, and advanced manufacturing has surged, as manual procurement cycles can’t keep pace with modern engineering. The Series A will expand premium production, enhance AI-driven quality assurance for mission-critical parts, and scale enterprise infrastructure for larger deployments.

Increased capacity, greater reliability, and enhanced support for the world’s most demanding hardware teams, while keeping the core focus: enabling engineers and sourcing teams to excel without being bogged down by administrative chaos.