AI systems for the physical world.

We build AI systems that operate in real environments — production systems designed for real constraints.

See what we build

Systems, not software.

SYS–01
Visual Intelligence
Turn camera feeds into structured understanding of real-world activity.
SYS–02
Operational AI
Convert operational events into alerts, decisions, and workflows.
SYS–03
Spatial Intelligence
Model how people, assets, and processes move through physical environments.
SYS–04
Autonomy Systems
Build toward controlled automation through simulation, robotics, and human-in-the-loop systems.

Real systems, real constraints.

WRK–01
Facility Monitoring System
Continuous analysis of camera feeds across physical environments. Tracks movement, enforces zones, and surfaces real-time operational events without manual oversight.
IN → Camera feedsOUT → Operational alerts, activity streams
WRK–02
Process Intelligence System
Understands how workflows actually execute in real environments. Tracks sequences of actions, detects deviations, and identifies inefficiencies across operations.
IN → Video + event streamsOUT → Process validation, deviation alerts, workflow insights
WRK–03
Production Anomaly Detection
Models normal behavior across physical systems using sensor and visual signals. Detects early deviations and failure patterns before breakdowns occur.
IN → Sensor + video dataOUT → Early anomaly signals, failure predictions

Bridging the
physical and
digital worlds.

Most systems stop at data. We start with environments — and make them computable.

  • Physical environments are unstructured.
    Lighting changes. Sensors drift. Behavior is unpredictable. Before systems can act, they need to understand what's actually happening.
  • Constraints define the system.
    Latency, hardware, and data quality shape every decision. They are not limitations — they are the design.
  • Toward physical intelligence.
    Systems that can perceive, reason, and act in the physical world. Each system we build moves us closer to that.

Research toward
physical intelligence.

Koppr Lab is our internal R&D track. We work on perception, autonomy, and decision-making in unstructured environments. Not a roadmap. A direction.

Sim-to-RealEmbodied PerceptionAutonomous SystemsEdge Inference

Ready to build

This team builds
real AI systems.

If you're working on something that matters, let's talk.