FastCrest — the deployment layer for physical AI. From verified VLA deployment to fleet rollout, robotics modules, and FPGA sensor bridges.
FastCrest Fleet Release lets a robotics team approve one software artifact, stage it by cohort, watch production gates, and roll back without treating every robot like a separate deployment. Inference and robot control stay local; the control plane manages desired versions and release proof.
Container, model, config, migrations, and manifest are hashed before rollout.
Agents download to the inactive slot, run pre-flight checks, then switch locally.
Health, task rate, fault rate, latency, and manual hold state decide promotion.
Rollback is a desired-version change, not a fresh per-robot redeploy.
For a company running many identical robots, the bottleneck is not model hosting. It is release confidence: can the team move a tested update through production without line downtime, per-robot ceremony, or blind rollback risk?
Approve a single artifact and policy bundle once, then assign it to staging, canary, production, or a named location cohort.
The robot-side agent pulls artifacts, checks compatibility, switches slots, reports health, and keeps running if the cloud is unavailable.
Every rollout writes a release receipt: who approved it, what changed, which robots moved, what gates passed, and how rollback was handled.
Fleet Release does not replace ROS, PLCs, kitchen automation control, or the model runtime. It sits beside them as the software-release plane.
Provision a robot with a short-lived enrollment token, identity, hardware profile, location, and robot family.
Connect install, pre-flight, health, switch, and rollback methods to the customer's existing deployment scripts.
The control plane says what version each cohort should run; the agent makes the local machine converge safely.
The first useful engagement is narrow: one robot family, one artifact source, one staging cohort, one production cohort, and clear promote/rollback gates.
For uniform fleets, pricing should be centralized: workspace plus site or release volume, not a painful per-robot tax.
Use Tether to export, guard, benchmark, and produce a deployment-proof packet for a robot policy or runtime artifact.
Use Fleet Release to assign that artifact to cohorts, watch the gates, and move or roll back the fleet from one control plane.
FastCrest — the deployment layer for physical AI. From verified VLA deployment to fleet rollout, robotics modules, and FPGA sensor bridges.