The intelligence layer for robot fleets.
Engram compiles work orders into executable task graphs, runs them on humanoids with a deterministic safety layer, and leaves an audit trail for every job. Assign work like a shift — command it like software.
Hardware-agnostic · Model-agnostic · MCP-native
Fleet
WO-0047 · kitting
playbook queued · 06:00
Task graph · WO-0047
5 nodes
> audit trail streaming · error recovery armed
01
End-to-end system live on Unitree G1
24/7
Playbooks schedule and trigger saved runs
00
Engineers required on the floor
100%
Of completed jobs leave an audit trail
01 · Platform
An OS above the foundation model.
Frontier labs keep making models more capable. Engram is the layer that turns them into deployable systems — compiled to your shop’s parts, tolerances, sequences, and constraints.
Orchestration
Jobs compiled to task graphs
A VLM-backed agentic harness holds a job as a graph of steps, orchestrating walking, manipulation, and perception as tools — asynchronously, with error recovery built in. Long sequences run start to finish without a human driving.
Live plan from the console · node 05 executing · recovery edges armed
Safety
Deterministic safety layer
Independent of the model. Hard object avoidance and procedure checks block unsafe actions — even when the VLA is uncertain.
✓ collision envelope · hard bound
✓ procedure deviation · blocked
✓ uncertainty gate · halt & recover
Models
Better models, better fleet
When a frontier lab ships a more capable model, every tool call executes more accurately — zero re-engineering of the orchestration.
Agent-native
Callable by any agent
The fleet API is an MCP server — point Claude Code at the floor.
$ claude
> dispatch kitting to G1-02
→ graph compiled · 5 steps
→ status: RUNNING · eta 12m
Hardware
Agnostic by design
Shipping today on the Unitree G1 humanoid, but the OS runs on whatever hardware is best. As robots commoditize, the layer above them is what endures.
02 · Architecture
Assign. Execute. Audit.
Work orders in natural language
Talk to the robot the way you'd brief a coworker, or assign tasks in the dashboard like a shift. No programming, no engineer on the floor.
operator@floor — 06:02
> "Kit the fasteners for tomorrow's press-brake run."
→ WO-0047 created · compiling task graph…
→ 5 nodes · est. 14m · assigned to G1-01
03 · Deployments
From work order to shop floor.
The full stack is built and running today. First pilots begin Fall 2026: kitting and assembly, block install, and hazardous spray-foam work.
RUNTIME
Whole-body control on real hardware
Robot runtime and whole-body control running on a Unitree G1 humanoid — walking, manipulation, and perception exposed as tools the planner can call.
ORCHESTRATION
Work order in, executable graph out
The task-to-graph planner compiles a plain-language work order into a plan the robot executes start to finish, adapting to errors along the way.
INTERFACE
Dashboard, fleet API, MCP server
Operators assign and monitor work in the console; agents dispatch it over MCP. Successful runs become playbooks your team can schedule every shift.
Run history from the console · every job audited · operator, scheduled, and agent-dispatched
Deploy
Ready to command your fleet?
Tell us about your floor. We’ll scope the task on-site and deploy a robot that leaves numbers, not guesswork.
founders@engramrobotics.com · Berkeley, CA