FastCrest — the deployment layer for physical AI. From Jetson-tuned inference and verified VLA deployment to robotics modules and FPGA sensor bridges.
Useful parts before the full robot exists. Each module is engineered to work alone, to combine with the others, and to stack into the modular humanoid platform we're building toward. Cameras, audio, networking, the carrier board, and the FPGA bridge that makes lidar, radar, and multi-camera tractable.
The thesis: ship voice and camera hardware first (proven demand, Crowd Supply audience), then I/O and networking, then the Jetson carrier board, then the FPGA sensor bridge — the high-value module that makes serious robotics perception possible on Jetson.
4-microphone plus 4-channel ADC design with AEC, noise suppression, turn-taking, low-latency STT pipeline tuned for the noisy environments robots actually live in.
Ultra-wide plus narrow-field camera pair, low-latency capture pipeline, ready for the VLA inference path.
Standards-based mesh networking that just works on Jetson. The piece every smart-home and lightweight-robotics integrator needs.
Speaker for the voice stack once the audio pipeline is credible. Crowd Supply candidate.
Custom carrier engineered for robotics workloads — the right I/O, the right power, the right form factor for the modules above.
Industrial bus interfaces and wireless modules so robots can talk to actuators, sensors, controllers, and existing factory equipment.
An FPGA-based bridge for lidar, radar, multi-camera, PWM, and other perception/control interfaces. The defensible hardware module — what makes serious robotics perception possible on a Jetson.
If you're integrating any of these modules — or have a hardware bring-up problem we can help with — reach out. Most launches will go through Crowd Supply for trust-building; serious integrators get direct.
FastCrest — the deployment layer for physical AI. From Jetson-tuned inference and verified VLA deployment to robotics modules and FPGA sensor bridges.