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Selected work

Real problems.
Real systems.

We show the system behind the claim: what the problem was, what had to connect, and how we would know it worked.

How to read this

Every diagram has a job.

A case study is not a capability list. It follows a real path from input to outcome, with the engineering decisions and constraints left visible.

AI ENGINEERING / SHIPPING

Production intelligence, not a demo wrapper.

We build the path around the model: retrieval, tools, agents, evaluation, security and observability that keeps an AI system useful when inputs change.

Instruction → context → reasoning → evaluation → observable action

Discuss a similar system
TEXTIMAGEAUDIOSENSORSNOEMA / COREPERCEIVE · REPRESENT · REASONPERCEPTIONUNDERSTANDINGREASONINGPLANNINGACTION / DECISIONMULTIMODAL INTELLIGENCE · EVALUATE · REFINE

ROBOTICS / RESEARCH

Machines that can sense before they move.

Our robotics direction connects perception, planning and control into a loop that can be measured, constrained and improved from real episodes.

Perception → planning → control → actuation → new data

Discuss a similar system
VISION / DEPTH / IMUCONTROL / ACTUATIONSENSE → PLAN → MOVE → LEARN

More case studies as client work clears confidentiality. We will publish the measurement with them.

The standard

Problem → System → Evaluation → Outcome.

No invented metrics. No placeholder logos. The work gets published when there is something real to point at.