S-02.1
Live sensor processing
Ingest from cameras, depth sensors, ultrasound, radar, high-speed I/O and instrument feeds, with time-stamping and synchronization.
Real-Time AI Systems
Some decisions are only valuable if they arrive in milliseconds. We build streaming AI applications with deterministic data paths, from sensor ingest through accelerated inference to the action, and we measure latency end to end.
Capabilities
S-02.2
Real-time inference
Model optimization, quantization and batching strategies matched to a hard latency budget on the target hardware.
S-02.3
Streaming data pipelines
Graph-structured pipelines with zero-copy data movement, bounded queues and back-pressure so behaviour stays predictable under load.
S-02.4
Low-latency decision systems
Decision logic, overlays and actuation interfaces that close the loop to PLCs, robots, operators or downstream systems.
What you can expect
Engineering commitments
- Latency budgets defined up front and verified on hardware
- Predictable behaviour under peak load
- Profiling and instrumentation built in, not bolted on
Typical deliverables
- 01Latency budget & architecture
- 02Optimized inference models
- 03Streaming application (C++/Python)
- 04Profiling & benchmark harness on your hardware
- 05Deployment package
Engineering consultation
Have a process that needs to see, decide and act?
Tell us about the parts, signals or images you work with. An engineer, not a salesperson, will reply with an initial assessment of feasibility and next steps.