Sentinel
Domain-Specific Intelligence for Physical AI
Develops and continuously retrains perception and action models for real-world industrial environments.
Built for resource-constrained edge hardware — segmentation, predictive world modeling, and autonomous action in one framework.
Increasing the F1 score of baseline models
18%
Baseline F1 score
92%+
With NEURIK F1 score
Advanced Segmentation Models
High-fidelity spatial understanding at real-time speed on edge hardware — built for industrial environments.
Capabilities
Applications
Kinetic Action Models
Low-latency control systems that ingest visual, spatial, and telemetry data — turning perception into action in dynamic environments.
Capabilities
JEPA-Powered World Models
Joint Embedding Predictive Architectures (JEPA) build predictive representations of environments — anticipating future states instead of reacting only to the current frame.
Capabilities
Impact
Reason about what happens next — not just what is visible now.
Vision-Language-Action Models (VLA)
Connect perception, language, and execution — robots interpret instructions, understand surroundings, and act autonomously.
Capabilities
Impact
Bridge general intelligence and real-world physical action.
Quantization-Aware Fine-Tuning (QAFT)
Inject quantization behavior into training so models ship ready for deployment hardware.
Benefits
Build the Future of Physical AI Systems
Accelerate the journey from synthetic worlds to real-world deployment with a platform designed for continuous learning, adaptation, and scale.
