AI Embedded Systems
Robotics and edge AI engineering

Find the real bottleneck before the next field test.

We help robotics teams separate hardware, middleware, inference, perception, control, and integration problems, then produce a bounded technical path to the next test.

ROS 2Topics, rates, DDS, and timing
EdgeLocal model and compute fit
SenseCamera, LiDAR, and fusion
FieldLogging, recovery, and test readiness
Work scope

Review the complete path from sensor to action.

Architecture

ROS 2 and DDS

Nodes, topics, message rates, QoS, timing, process boundaries, and communication risks.

Compute

NVIDIA and edge sizing

Model, precision, latency, memory, power, thermal, and deployment tradeoffs.

Perception

Camera, LiDAR, and sensors

Data paths, synchronization, calibration, fusion, and logging requirements.

Inference

Local model integration

Loader, runtime, preprocessing, postprocessing, benchmarking, and fallback paths.

Control

Deterministic boundaries

Separate probabilistic perception from safety, control, recovery, and operator authority.

Validation

Field-test readiness

Telemetry, fault injection, rollback, acceptance criteria, and a test checklist.

Deliverables

A technical decision package, not a list of possibilities.

Architecture review

Current-system map, interfaces, ownership boundaries, and the proposed change path.

Bottleneck analysis

Evidence separating compute, data, timing, networking, model, and control constraints.

Compute and integration plan

Hardware, runtime, model, interfaces, and staged implementation recommendation.

Risk and test package

Known risks, prototype code where appropriate, telemetry requirements, and field-test checklist.

Operating rule

Field work needs a defined rollback path.

Hazards first

Identify physical, operational, data, and access hazards before connecting a new model or control path.

Observe before acting

Logging and shadow-mode evaluation should establish behavior before autonomous authority increases.

Human authority

Operator control, stop conditions, recovery, and escalation remain explicit during prototype testing.

Measured claims

Latency, throughput, accuracy, thermal behavior, and reliability claims belong to the tested configuration.

Start here

Bring the architecture, logs, and the next test you need to pass.

A founder-led review starts at $350. We use it to identify the actual engineering question and quote a fixed sprint only when the boundary is clear.