Built by FPGA architects to scale FPGA customers.
InstantFPGA is a variant AI framework with humans in the loop, built for FPGA design. The framework does the engineering labor — generating, verifying, and characterizing FPGA implementations from the customer's specification — and certified engineers handle review, integration, and the judgment calls that require a human.
The framework was built specifically to mitigate the failure modes that AI-generated FPGA design is prone to: synthesizable code that doesn't actually work, timing closures that hide structural bugs, verification that misses what matters. What the framework produces, certified engineers verify against silicon. What ships, ships because both layers agree.
The result is a delivery model that compresses programs measured in years into programs measured in weeks — without compressing the engineering judgment that keeps those programs correct.
InstantFPGA's founders include original, award-winning designers of the Virtex and UltraScale FPGA families — the silicon architecture that the modern FPGA industry runs on. The serial transceivers, the high-speed I/O, the fabric primitives that show up in nearly every FPGA program today were designed, in part, by the same engineers now building the framework that targets them.
That work didn't happen in isolation. Founding experience spans high-energy physics experiments at national laboratories, aerospace and defense systems, RF and signal-processing platforms, and medical-grade electronics. Each domain shaped the methodology — physics taught measurement discipline, aerospace taught requirements rigor, RF taught the cost of getting timing wrong, medical taught what it means to verify against consequence.
The framework didn't emerge from a startup pivot. It emerged from decades of watching FPGA programs miss deadlines for the same reasons, and finally having the tools to do something about it.
The traditional FPGA delivery model — a team of engineers, hand-writing RTL, debugging timing closure, characterizing silicon by hand — was built for a different era. It assumes labor is the right answer to complexity. For decades, it was. The cost was schedule.
Every FPGA program eventually faces the same situation: a specific block isn't right, a specific timing arc won't close, a specific test isn't passing, and the team is one engineer-month from shipping or one engineer-quarter from cancellation. The work that determines which outcome is, almost always, work that should have been automated.
The framework was built to automate that work. Not the architectural decisions, not the customer conversations, not the judgment about what's right — but the labor between specification and silicon. The certified engineers handle the rest. Together they deliver instant FPGAs on schedules that traditional teams cannot match.
Validated across multiple FPGA programs. Used now by customers who chose to scale rather than spend weeks on routine debugging.