Skip to main content
Back to Home
Technology

Every watt
earns its place.

Not every input. Not every model. Only what the decision needs.

OV-1

One core. Two places it runs.

Inputs

At the edgeCamera framesRadar returnsMachine readings
In the recordsDatabasesPDFs and scansSpreadsheets

Mission rules · owned by the customer

Gate 1Is this relevant?Low-cost relevance check. Most inputs stop here.
Gate 2Which specialist is needed?Only the models the decision needs, inside the budget.

Same core in both products: gated edge AI · interpretDB

Output

Answer with a receiptVehicle driving against traffic
Confidence0.91
Evidence: frames 812 and 813Cost: 2.7 joules

Or “I don’t know,” with the reason.

Illustrative values.

The method

Four moves. One record.

  1. 01

    Ignore

    A low-cost check screens every input. Most data stops here.

  2. 02

    Recruit

    Wake the specialist the task needs, inside the power budget.

  3. 03

    Refuse

    No evidence, no answer. Explicit abstention on ambiguity.

  4. 04

    Record

    Evidence, pathway, and energy cost logged to immutable receipts.

The energy problem

AI is outgrowing the grid.

415TWh

used by data centres worldwide in 2024. About 1.5% of the world’s electricity.

945TWh

projected by 2030. More than Japan uses today.

12%

of U.S. electricity could go to data centres by 2028, up from 4.4% in 2023.

Data-centre electricity, worldwide
2024
415 TWh
2030
945 TWh, projected

Sources: IEA, Energy and AI (2025); U.S. DOE / Berkeley Lab (2024), high end of the 6.7–12% range.

“Every consistent system
has questions it cannot settle.

After Kurt Gödel, incompleteness theorems, 1931

When the evidence is insufficient, withhold the answer.

First, beat the baseline

Simple first.

  • •Sample enough evidence, not everything.
  • •Beat regression before adding a model.
  • •A cheaper wrong answer is no gain.
TARGET COMPUTE REDUCTION
94%–98%

Across tactical edge sensing and database reconciliation workloads, energy gating restricts dense neural model execution to less than 2% of duty cycles while maintaining verified precision.

Start with your constraints.

The platform, the power budget, the decision.

Start a conversation