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Hey everyone! I’m Fredrik, the founder of Simuletic. I spent the last year building computer vision models for security, and I ran into a massive wall: Real-world data is messy, privacy-restricted, and lacks the "edge cases" that actually matter. I tried training a YOLO to detect threats and weapons but it flagged construction drills as guns. The models lacked context and good enough real world...
SimuleticSimuletic Vision Safety: The Next Gen of Threat Detection
Building a Security AI? Stop training on noisy web data.
Simuletic delivers Synthetic Ground Truth: Photorealistic training data for Weapon, Knifes, Threat & Drone detection that covers the "edge cases" real cameras miss (glare, snow, blur).
Except our synthetic weapon detection Yolo dataset, our newest open-source dataset features 500+ VLM-ready conversations with precise Bounding Box grounding and Threat Reasoning. Proven to reduce false positives in surveillance models.
SimuleticSimuletic Vision Safety: The Next Gen of Threat Detection