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Gated edge AI

A few watts.
Make each one count.

For drones, radar and machines that cannot carry a data centre.

Research & prototypes
A compact processor with one specialist block lit in gold
20W

A human brain

14,300W

One eight-GPU AI server

945TWh

Data centres worldwide by 2030

Sources: NIST; NVIDIA DGX B200, maximum; IEA, projection.

How it runs

Quiet until it counts.

  1. Gate

    Relevance

    A tiny always-on check. 98% of background sensor noise stops here.

  2. Budget

    Specialists

    Only the models the decision needs, inside the platform power budget.

  3. Output

    Report or abstain

    The verifiable evidence and energy cost travel with every decision.

Measured

Count the whole cost.

  • •Selection, sensing, movement and inference.
  • •Savings reported beside the misses.
  • •No valid path, no forced answer.
STAGED FLIGHT TRIAL TELEMETRY
0.83%

of frames woke the expensive specialist step on staged flights (12 of 1,443 frames). 0.35% on empty flights (7 of 2,010), reporting nothing.

Read preprint findings →

Which decision has to run at the edge?

Bring the platform and the power budget.

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