FastCrest — the deployment layer for physical AI. From Jetson-tuned inference and verified VLA deployment to robotics modules and FPGA sensor bridges.
Real production work for teams shipping physical AI today. We do Jetson optimization, robotics pipelines, hardware bring-up, FPGA sensor interfaces, and automation pilots — every engagement informs what becomes a product in our open or managed stack next.
Each one is something we already do for real customers. Engagements typically run 2 to 12 weeks, with optional ongoing support.
Nsight-based profiling, kernel-level tuning, runtime selection (ORT, TensorRT, custom Triton). Speed up your edge model without losing accuracy. Verified.
Low-latency capture, far-field mic DSP, STT/TTS integration, turn-taking, wake-word. The audio + vision substrate for natural multimodal robot control.
Schematic review, board bring-up, driver development, kernel patches, power and thermal characterization. Whether it's an existing carrier or a custom design.
Bridge work for lidar, radar, multi-camera, PWM, and other perception/control interfaces. The path from a sensor datasheet to a working Jetson capture pipeline.
End-to-end automation projects with VLA-based perception, robotic manipulation, telemetry, and replay. Pilot first; productionize what works.
Centralized rollout and rollback for uniform robot fleets: release manifests, robot agents, staging cohorts, health gates, and auditable release receipts.
Tether-style parity benchmarking (formerly Reflex) on your specific model and target hardware. Independent verification a customer can audit.
Tell us the problem. We tell you whether it's a fit, with rough cost and timeline.
Weekly demos. Every deliverable signed and reproducible. No black-box work.
You get the code, the docs, the benchmark report. Optional support contract afterward.
Quickest path: email with the model, the target hardware, and the metric you care about. We reply within a business day.
FastCrest — the deployment layer for physical AI. From Jetson-tuned inference and verified VLA deployment to robotics modules and FPGA sensor bridges.