Robot form follows function

We generate robots that fit factory's floor, task and constraints — and prove it works before we ship it.

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STEP 1INPUTSTEP 2WORLD & ROBOT BUILDINGSTEP 3DATA COLLECTION & TRAININGSTEP 4DEPLOYMENTINPUT #1Process DocsSpecs, order, tolerances& safetyINPUT #2Product PromptInsider knowledge notcaptured anywhere elseINPUT #3iPhone Capture4K60 + LiDARGenerated WorldsLife-like visuals · mm-scale precisionSimulated HardwareOEM-validatedSim-BackedData Collection90%+ cheaper than operatorsAI TrainingBring your policy or use existing onesFactory ReadyTested before any hardware shipsIn weeks, not monthsEasy retool · standard components
▸ The Problem

Hardware teams demand factory's flexibility while existing physical AI solutions are limited by data availability.

SIMULATION
Robotics teams gave up on simulation
Simulated visuals are game-like and do not match real-world demands.
DATA
Teams don't collect data where it is born
Factory already has the data — process docs, real environments, real products.
COST
Data gap costs industry too much
U$48/hr/pilot, 10 man-hours just to validate one task-specific AI model. World models and generalist policies are years and millions $ away from bridging data gap.
▸ The Solution

From concept to shipped system in weeks not months. We have closed sim-to-real gap by bridging real-to-sim first.

Our full-stack solution generates purpose-built AI-powered factory deployments on demand. Retool and retrain is easy and backed by our OEM-validated standard component library.

IPHONE APP
Capture environments with mm-scale and visual precision

Guided workflow for capturing your factory floor. Policies trained in our sim see what real robots see.

▸Guided workflow
▸4K60 captures
▸ARKit support
▸LiDAR for physical world grounding
▸Camera calibration
SIMULATION
Construct

State-of-the-art simulation environment running directly in your browser. Policies trained in our sim see what real robots see.

▸Open-Source
▸Web-browser first (even on iPad)
▸Bring your custom robots or build one
▸Deploy software directly in containerized workflows
▸Life-like visuals backed by the latest advancements in computer graphics
▸Sensor-level realism
AI-NATIVE
AI-Native Workflows

As easy as your Claude Code session. Determine what data collection really matters.

▸Process engineering documentation parser
▸Monitor robot's behavior using our custom MCP
▸Foxglove integration
▸Supports cloud and local providers
HARDWARE
Component Library

OEM-validated and well-simulated components with local sourcing options for every major region.

▸Validated by OEMs
▸Region-specific
▸Fully supported in our simulation
▸Tariff-resistant supply chain
▸Bring your own components using our smartphone app
▸ Team

Built by team who has seen it all. Factories in the US and China. Automated purpose-built systems and humanoids.

Tesla
▸Material flow
▸Robot integration
▸4680 battery line
▸Optimus
Industrial Next · YC W22
▸Custom camera hardware
▸Autonomous robotic deployments across North America and China
Sanctuary AI
▸Next-generation humanoids
Open Source
▸Built on open-source MuJoCo with our open-source contributions to the rendering pipeline
Founder

Dmitrii Gusev has spent his career shipping robotics and manufacturing systems at Tesla, Industrial Next (YC W22), and Sanctuary AI. He's brought up factory lines at Fremont, Nevada, and GigaTexas, built electrical systems for Optimus, deployed autonomous robotic solutions in North America and China, and led software for next-generation humanoid robots. He built Template Robotics after seeing firsthand why the factory bringup problem — not the robot — is what's holding automation back.

"Upon demonstrating the demo, engineers and founders at robotics companies offered to hire me on the spot — saying this workflow is fundamental to their business success."
"After working directly with Chinese manufacturing teams, I realized why they move fast — their hardware teams work directly with vendors spinning up new factory lines and iterating new designs at scale on demand. In North America, that process takes months and millions. I built Template Robotics to close that gap — not with a humanoid robot, but with simulation-first purpose-built automation that makes factory bringup as fast as the iteration speed demands."
▸ Vision

Inspired by science-fiction. Validated through real-world experience.

Today we design and validate robotic deployments in simulation. Tomorrow, manufacturers of any size create new automated production lines on demand — no complex humanoids, no months-long bringup, no factory retooling.

Imagine a future where any manufacturer can meet domestic demand from hardware teams by upgrading their production lines with physical AI — without altering existing processes. Robot's form must follow function to be truly efficient. New systems will be generated from a predefined set of modular and validated components to meet the demand of manufacturers of any scale at any location.

New system effectiveness, machine learning and controls is validated in our state-of-the-art simulation before anything is built. The gap between "we need this automated" and "it's running on our floor" is measured in weeks, not months.

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