High Performance, Power Efficient, Scalable Edge ML.

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TRUMPF and SiMa.ai Announce Strategic Partnership

Developing lasers with AI to improve welding, cutting and marking processes. Read More
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One Platform for Edge AI

Any computer vision application, any network, any model, any modality, any framework, any sensor, any resolution

Edge ML at Your Own Pace

Deploy and scale at the embedded edge.

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No code computer vision pipeline evaluation and iteration for faster time to deployment.
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Rapidly evaluate, prototype, and demo computer vision edge ML applications.
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The only Machine Learning System on Chip (MLSoC), enabling full-pipeline implementations of real-world ML solutions.
Industries We Serve

Embedded Edge Markets

Industrial Sector & Robotics Address challenging industrial applications and improve performance.
Autonomous Vehicles Get ahead of the curve by expediting your autonomous and electrification roadmap.
Government Sector Powerful, SWaP friendly, future-proof.
Healthcare Powerful on-device processing of medical data with low power utilization.
Smart Retail Real-time insights on consumer behavior at the edge.
Drones  Get +2x flight time and +20x improved responsiveness.
Smart Vision Highly-efficient, low-power design with a push of a button.

Effortlessly Scale and Deploy at the Embedded Edge

Performance

10x performance

12x faster end-to-end pipeline FPS than PCIe ML accelerator.

Competitors 10x See our best-in-class MLPerf Benchmarks
Competitors 40%-400% See our best-in-class MLPerf Benchmarks
Power Efficient

40%-400% better FPS/watt

Significant advantage over competition in both performance and power.

Accolades

IDC Innovator for AI/ML at the Edge 2024
SiMa.ai secures $70M funding to introduce a mult…
Chip Startup Raises $70M to Quicken AI on
Race to the gen AI edge as Dell invests in

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