Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there. Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there.
Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there.
Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there.
Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Computer Vision can tell you what’s in a camera feed, but that doesn’t mean you can verify how it got there.
Sertn makes visual AI more trustworthy by turning camera data into intelligence that can be verified. #SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Warehouses can’t afford AI guesses when packages go missing.
Sertn’s Proof of Inference makes computer vision results verifiable, giving teams evidence to track inventory and resolve disputes with confidence.
#SertnAI#Logistics#SupplyChain#VerifiableAI#AI
AI predictions aren’t enough when the stakes are high.
Sertn’s Proof of Inference uses zkML to prove that a Computer Vision prediction was actually produced by the model, bringing verifiability to aviation, healthcare
#SertnAI#ComputerVision#zkML#VerifiableAI#AI
@inference_labs Exactly bro. The final output only tells part of the story. Knowing how the inference actually happened is what makes consequential AI easier to verify and trust.
Computer Vision can detect and count, but without proof, enterprises still have to trust the output.
SertnAI changes that by attaching a verifiable proof receipt to every prediction, making visual AI auditable
#SertnAI#ComputerVision#VerifiableAI#ProofOfInference#AI
Sprint 9 is live on Inference Labs!
$3000 reward pool up for grabs. Join the Discord, hit the Zealy quests and start earning.
Now’s a good time to get involved
https://t.co/M4qxQLAivq
@inference_labs#InferenceLabs#ZealySprint#Web3AI#DeAI
@inference_labs Exactly. Cheaper models don’t automatically mean cheaper AI. Once agents are reasoning, retrying, and calling tools continuously, inference becomes the cost that really matters.
@inference_labs A prediction sitting in a dashboard has limited value if nobody acts on it. Connecting inference to the right workflow is what turns AI output into real operational value.
AI is now finding cybersecurity weaknesses faster than some financial firms can remediate them.
That flips the bottleneck.
Detection becomes abundant. Prioritization, evidence, and deciding which machine-generated findings deserve action become scarce.
@inference_labs The valuable layer is being able to understand what was found, why it matters, how confident we should be, and what evidence supports the finding. That’s where AI driven security can move from generating alerts to enabling better decisions.
@inference_labs In environments like airside operations, movement patterns can carry more meaning than simple object detection. Tracking those gestures over time gives AI a much clearer picture of what’s happening.
@inference_labs When generation becomes cheap, trust becomes the real bottleneck. The ability to verify what deserves confidence could matter more than producing another answer.