Smart Cameras / Physical SecurityDesign partners active
Loitering detection that actually works.
Security cameras can detect objects. They can't understand what those objects are doing. Loitering, tailgating, abandoned bags, slip-and-fall events — these require temporal scene understanding that YOLO-class models simply can't provide. Primate Vision identifies actions, not just objects, and delivers the same deterministic answer every time.
Key benefitZero false-negative loitering events. No hallucinations under varying lighting or camera angle.
Try Primate Vision →RoboticsDesign partners active
Robots that understand before they act.
General-purpose robots need to understand object relationships and predict the consequences of actions — not just detect what's in view. Fragmented CV pipelines (YOLO + SAM + custom post-processing) are the primary bottleneck to shipping intelligent robot behavior. Primate Vision replaces the stack with a single API call.
Key benefitOne API replaces YOLO + SAM + depth + custom glue. Works zero-shot across environments.
Try Primate Vision →Healthcare / Medical ImagingExploring
In healthcare, hallucinations aren't a bug. They're a risk.
Vision language models that give different answers to the same scan on different days are unusable in clinical settings. Primate Vision's deterministic architecture — same input, same output, every time — is a clinical-grade property, not just a technical nicety. AMI Labs, founded by Yann LeCun, has validated healthcare as a primary target for JEPA-based models.
Key benefitDeterministic, auditable outputs. Every result verifiable against the same input.
Try Primate Vision →Drones / UAVExploring
Understood, not just recorded.
Drone-captured footage is high-resolution but contextually sparse — current CV models detect objects but can't classify scene state, identify hazards, or understand what's happening at altitude. Primate Vision's edge-capable architecture runs on Jetson-grade hardware onboard, providing scene understanding without cloud roundtrips.
Key benefitOn-device scene understanding. No cloud dependency for real-time flight decisions.
Try Primate Vision →Autonomous VehiclesComing — roadmap
Predict before it happens.
AV perception systems excel at detecting what's there. The hardest problem is predicting what will happen next — a pedestrian's intent to cross, a vehicle's turning behavior, a cyclist's trajectory. Primate Vision's predictive world model architecture is designed for temporal action anticipation.
Key benefitAction prediction, not just detection. The same JEPA architecture that powers AMI's robotics research.
Try Primate Vision →Video Search & SummarizationExploring
Search your archive like a database.
NVIDIA's VSS Blueprint can summarize a video — but it samples 8 frames per 30 seconds and hallucinates the gaps. Primate Vision analyzes every frame and returns deterministic structured output, making video archives genuinely queryable without the reliability problems that plague LLM-based approaches.
Key benefitDeterministic structured output. Same query, same answer. Every time.
Try Primate Vision →Video Advertising / Ad TechExploring
Real-time scene context for every frame.
Contextual video advertising requires understanding what's happening in a scene — not just what objects are present. Primate Vision's action and relationship understanding enables frame-level contextual signals for ad insertion, brand safety, and content classification at inference speeds that cloud VLMs can't match.
Key benefitFrame-level scene understanding at edge inference speeds. No $120/camera/month cloud APIs.
Try Primate Vision →Research / AcademiaAvailable
SOTA JEPA benchmarks. Open for research.
Primate Vision's backbone beats V-JEPA 2.1 on SSv2 and EK-100 action benchmarks at a fraction of the training cost. For researchers building on JEPA architectures, Primate Vision provides a production-grade API surface over the same underlying model family.
Key benefitBeats V-JEPA 2.1 on action benchmarks. Full methodology published at launch.
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