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The future of AI Inference
is here.

A compiler that turns ML models into FPGA-ready hardware, cutting development time from months to minutes.

Drop your model here

.pt  ·  .onnx  ·  .keras

A drag-and-drop interface where a model file is automatically compiled to FPGA hardware

From model code to FPGA bitstream — automatically

Backed by Max Planck Institute for Informatics & Google for Startups

For too long, deploying AI on FPGAs has been locked behind hardware complexity.

We believe FPGAs shouldn't just be for hardware experts — they should be for every ML engineer.

With our compiler, anyone can leverage FPGAs and
deploy with ease.

AI models, compiled for hardware.

Submit a model, and ConfigAI maps, schedules, and generates FPGA-ready hardware automatically. Instead of wrestling with low-level design flows, ML engineers can move from model code to deployable hardware in minutes.

A faster path to FPGA deployment.

With ConfigAI, teams can turn high-level ML models into low-latency FPGA implementations without deep hardware expertise. You stay focused on performance and iteration, while the compiler handles the heavy lifting of hardware generation.

Join the Revolution

Ready to put ConfigAI to work?

Go from model code to FPGA-ready hardware in minutes.

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