Protect the visual data behind real-world decisions.
AI Light combines real-time detection with capture-time cryptographic trust, helping cameras, sensors and autonomous systems verify that what they see is authentic and untampered.
Robots, vehicles and edge AI systems increasingly act on camera and sensor data. A spoofed scene, injected feed or altered frame can mislead the system before a human ever sees the evidence.
Physical AI needs a way to assess the input and verify its source and integrity as data moves from the sensor to the decision engine.
Combine signal analysis with cryptographic proof so receiving systems can make decisions with stronger evidence about the data they consume.
A camera or sensor produces real-world data.
SourceSeal binds capture to its source and protects integrity.
AI detection checks for manipulation, spoofing or anomalous input.
The receiving system checks provenance and integrity.
Applications use the trust signals in their decision workflow.
Establish verifiable provenance as visual data enters the system.
Bind data to a known device or protected capture environment.
Expose unauthorized changes between capture and processing.
Analyze visual input for signs of spoofing, injection or manipulation.
Let connected components verify data across the device pipeline.
Bring trust closer to cameras, processors and embedded systems.
Verification can travel with the data as it crosses device, processor and application boundaries.
Models analyze the content for synthetic, spoofed or altered visual data.
SourceSeal provides evidence of capture origin and integrity for downstream verification.
Strengthen confidence in camera data flowing into driver assistance and vehicle systems.
Help robots assess the authenticity and integrity of the visual input they rely on.
Protect inspection and automation workflows that depend on trustworthy image streams.
Enable devices to create self-verifiable media at the point of capture.
Connect sensor-level trust to on-device inference and verification.
Integrate a trust layer into camera, processor and secure hardware pipelines.
AI Light’s approach spans capture-time protection, edge analysis and downstream verification. Integration paths can include API, SDK and embedded or firmware-level deployment, depending on the device and use case.
Explore how AI Light can bring trusted capture and real-time verification to your physical AI system.