Capability contract
Define what the robot can and cannot do: supported tasks, operating limits, safety boundaries, data assumptions, and required human handoffs.
Simulation-to-real deployment architecture
The deployment layer for robotics teams moving from simulation to real robots.
Robots need more than demos. They need a path from simulation evidence to safe, real-world deployment.
Platform overview
10Things Platform Overview
See how 10Things connects robot discovery, simulation, control generation, validation, and deployment operations into one platform path.
From rehearsal to reality
Simulation entry
Capability contracts
Evidence loops
Hardware validation
Deployment operations
We're building Amber as the reference robot moving through the 10Things deployment path.
See the Amber reference buildWhat we deliver
A platform-backed path from simulator to robot.
10Things helps robotics teams turn robot designs, specs, simulation assets, and deployment goals into validated real-hardware deployment packages — with the architecture to keep evidence, safety, telemetry, OTA, rollback, and operator workflows connected.
Simulation evidence loop
Validate behavior and failure modes in simulation before hardware risk, field support, and customer promises compound.
Integration package
Package tested functional code, control logic, telemetry, rollout, rollback, and governance into workflows operators and engineers can actually use.
The 10Things Deployment Path
From simulation to real robot deployment in six steps.
A tangible path for teams that need to move from robot models and simulation evidence into safe hardware validation and operational rollout.
Model the Robot
Bring CAD, URDF, MJCF, specs, or prototype context into a usable robot profile.
Output: Simulation-ready robot profile.
Define the Capability Contract
Translate intended tasks into limits, assumptions, safety boundaries, data expectations, and human handoff rules.
Output: Capability contract.
Run Simulation Evidence
Test behaviors and failure modes before field support and hardware risk compound.
Output: Simulation evidence pack.
Generate Deployment Assets
Create baseline robot-ready code paths, control logic, telemetry, and integration scaffolding.
Output: Deployment asset package.
Validate on Hardware
Move from simulation to robot with safety gates, test runs, rollback plans, and operator review.
Output: Hardware validation checklist.
Operationalize the Robot
Package the system for pilots, fleet rollout, monitoring, OTA, rollback, and continuous improvement.
Output: Operational deployment workflow.
Flagship engagement
Engagements that move your robot through the deployment path.
CAD-to-Code Deployment Readiness
Discovery We work with your team to understand your goals, specs, hardware profile, current stack, constraints, and deployment target.
Output a capability contract, simulation-ready artifacts, baseline control stack, validation gates, deployment package, and operating model tuned to your robot stack.
Start the flagship engagementOnboard to the 10Things platform
Platform onboarding Your robot profile, specs, validation evidence, control paths, safety gates, and deployment assumptions become reusable platform assets.
Future changes Hardware revisions, new behaviors, additional specifications, and customer requirements can be validated faster instead of restarting from scratch.
Discuss platform onboardingPlatform underneath
A platform architecture for getting robots from simulation to deployment.
The 10Things platform organizes the artifacts that usually get scattered across robotics projects: robot models, capability assumptions, simulation runs, generated code, safety checks, telemetry, rollout state, and deployment evidence.
Discovery HubCAD – code – deployControl HubCoach · Train · TeleopCodeGen HubRobot-ready codeInteraction BuilderWorkflow · 3D · UXDeployment HubActivate · Operationalize · ScaleAdmin ConsoleHealth · Users
258k+ source lines
4,644+ tests
6 active hubs
Start here
Discuss your robot stack.
We want to understand your robot, current artifacts, deployment target, and bottleneck — then map the fastest credible path from hardware state to deployment evidence.