Inference Labs took the stage in Dubai and came away with the audience vote. Big thanks to the Daos Hub Dubai team for bringing together founders, investors, and operators, and to @colingagich for representing us and presenting the pitch.

  1. #1

    From fuel leaks to smoke and fire, many airport risks are visual before they become operational problems. @hudsongrae_me is showing how Sertn can train models to detect these anom…

  2. #2

    1/ Airports already have cameras covering stands, baggage halls, terminals, and airfield movement. The opportunity is not always adding more hardware. It is turning existing foota…

  3. #3

    Long-horizon AI is making outputs much larger and workflows much harder to inspect. The challenge is no longer only whether a model can finish the task, but whether the path there…

  4. #4

    In a factory, airport, or logistics site, the physical event may last seconds. The model output may trigger a workflow immediately. Sertn is useful because evidence can be created…

  5. #5

    NVIDIA now describes physical AI safety as something that has to span hardware, software, models, sensors, and deployment. That is important. A safe robot is not just a good model…

  6. #6

    Confidential computing protects workloads while they run. Verification answers a different question: did the expected workload actually run, and can we establish that continuously…

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