MODEL
EFFICIENCY
CONSTRAINT

YOUR MODEL. YOUR HARDWARE.

10× MORE EFFICIENT.

We convert your existing AI models to run on FPGAs at a fraction of the power — no retraining, no new hardware, no GPU dependency.

CURRENTLY ENGAGED WITH TIER 1 DEFENSE PRIMES AND INTERNATIONAL SYSTEMS INTEGRATORS
02 / Research

PUBLISHED WORK

// ADDITIONAL APPLICATIONS IN MEDICAL AND INDUSTRIAL AVAILABLE ON REQUEST

03 / Process

HOW WE WORK

03.1 INTAKE

BRING YOUR MODEL

Hand us your PyTorch or ONNX model as-is. No retraining. No pipeline changes. Your training workflow stays exactly the same.

03.2 DEPLOYMENT

10X MORE EFFICIENT

We handle conversion, optimization, and FPGA deployment. Your engineers interact with the output — not the conversion layer. No HDL expertise required on your end.

03.3 ONGOING

MANAGED SERVICE

We maintain the deployment after handoff. Optimization continues as your workload evolves. You own the outcome. We own the stack.

// ON THE ROADMAP: CUSTOM ASIC · 100× EFFICIENCY OVER JETSON · PIPELINE PARTNERS GET PRIORITY ACCESS
04 / Contact

WORK WITH US

DEFENSE

ACTIVE

SWaP-constrained platforms, autonomous systems, EW, radiation-tolerant compute

TELECOM

ACCEPTING PARTNERS

5G baseband, RF classification, sparse signal processing on FPGAs

INDUSTRIAL

ACCEPTING PARTNERS

Vibration, acoustic, and thermal sensor fusion at the edge

MEDICAL

RESEARCH STAGE

EEG, EMG, and implantable device inference — defining the problem together

Backed By

  • Israel Aerospace Industries
  • Stanford StartX
  • Antler VC
  • Mana Ventures
  • Ollin Ventures
  • Gaingels
  • Hulsey Richmond Ventures
  • NVIDIA Inception Program

Academic

  • Stanford University
  • SLAC National Accelerator Laboratory
  • University of Southern California
  • UC Santa Cruz
  • University of Milano-Bicocca
  • Istinye University

Contact

Apply

30-minute technical call

APPLY

© 2025 TYPE 1 COMPUTE. ALL RIGHTS RESERVED.

EDGE AI INFERENCE FOR PLATFORMS WHERE EVERY WATT COUNTS.