One vertically integrated
Physical AI infrastructure.
The Laplacian Platform is our foundation AI platform for every robot. A dark factory cannot be built with one model or one robot. True autonomous production becomes possible when five layers operate as one platform: AI that keeps learning in the field, a runtime for stable 24-hour operation, a cloud where every site's operation becomes learning, a data engine that accumulates data cost-effectively, and a command-and-control layer that unifies every robot and every piece of equipment.
Five layers, one stack.
Not five products side by side — one control stack. The Control Plane commands the site, Cloud turns operation into learning, Robot OS runs every robot, AI Core does the thinking — and the Data Hand feeds the whole stack with real-world data.
AI Core
A continuously evolving Physical AI stack: robot foundation models, visuomotor intelligence, world models, manipulation policies, and operational memory. Unlike static systems, AI Core improves through live deployment — the robots in the field become the training system itself.
Robot OS
The operational backbone connecting intelligence, deployment, operations, and continuous learning. Robot provisioning, OTA model updates, runtime orchestration, failure monitoring, and autonomous recovery workflows — robots transformed from isolated machines into continuously managed operational assets.
Cloud
Where operation becomes learning. Field data from every site flows back as model updates — raw demonstration to labeled episode to redeployed policy in days.
Data Hand
Proprietary data collection device that dramatically reduces teleoperation cost. Every deployment feeds real manipulation trajectories, perception streams, and failure cases back into AI Core training — powering the Physical AI flywheel that compounds improvement across the entire fleet.
Control Plane
The command-and-control layer above every robot on the site, built from two halves. Fleet Orchestration coordinates heterogeneous robots as one workforce — task allocation, traffic and charging, cross-type handoffs. Operational Intelligence keeps that workforce in production — failure diagnosis and recovery, bottleneck detection, throughput rebalancing, site-level optimization. The facility, not the robot, is the unit of autonomy.
LPR1
Our low-cost reference mobile manipulator. Not the product itself, but the vehicle that carries the platform into the field — accelerating adoption, seeding the data flywheel, and proving the stack on real workflows before third-party robots onboard.
Three pillars, one infrastructure.
Every architectural decision traces back to three interlocking pillars: an AI stack that continuously evolves through deployment, a software runtime that operates 24/7 without human intervention, and a data flywheel that compounds improvement as the fleet scales.
AI Core improves through live deployment. Robot foundation models, world models, and manipulation policies are updated continuously from real-world operational data — cross-embodiment generalization across every robot form factor without per-platform fine-tuning.
Robot OS and the Control Plane together are built for uninterrupted autonomous operation: fail detection and automatic recovery on every robot, and site-level orchestration that diagnoses faults, reroutes work, and keeps the fleet running. The dark warehouse never stops — neither does the infrastructure running it.
The Data Hand breaks the data cost curve. Every deployment feeds back into AI Core training. More robots → more real-world data → better models → higher autonomy → more deployments. A compounding loop that accelerates as the fleet scales.
Build this stack with us.
Every layer above is being built right now, by a small senior team.