Forge's AI turns plain English into a physically real twin of your site, robot and sensors. It drafts the scenarios and edge cases and runs the ones you approve, so failures show up in simulation, before deployment. Your engineers stay in charge of what gets tested and what counts as a pass; the AI does the setup work that used to need a dedicated simulation team.
52 pass
2 fail
The problem
A leaning pallet, a person stepping into the path, light that washes out the camera. Today these moments turn up one at a time, months into a field pilot, with people nearby.
Robot arrives on siteDemo in a cleared area goes perfectly
Stops short in morning glareCamera washed out · shift delayed
Near-miss with a person stepping outFleet paused pending safety review
Unexpected obstacle blocks the routeRobot halts · operations stall
Software update undoes the Month 3 fixNobody re-tested. Nobody noticed.
Every edge case waits for the real world to produce it.
Scenes, robot models, sensor calibration and test code all need scarce skills.
Each variation is built by hand, so most are never tried.
What worked last quarter quietly breaks in the field.
One platform
Develop, evaluate, and generate data in one place — anchored on the piece the others exist to serve: an independent verdict you can stand behind.
Harden your driving policy against a calibrated digital twin of the site it will actually deploy into.
Prove function, safety, and benchmark in one loop — a graded, standards-traceable result you can show a buyer.
Turn every run into labeled, ground-truth scenario data — the long-tail coverage a real floor can't give you.
// 01 AI builds your world
Describe the site or import a video. Import your robot or pick an existing one. Forge's AI lays out the scene, sets up the robot, then places and calibrates its sensors, so the robot moves and sees in simulation the way it does in real life. You review each step and correct anything the AI got wrong.
Building from the asset library…
Calibrating to the real sensors
// 02 AI writes your tests, runs and debugs them
In the world you just built, describe the situation in plain English. Forge's AI turns it into a runnable scenario, widens it with the conditions and edge cases the real world throws at robots, and runs the set you approve.
AI drafted the scenario
AI suggested edge cases for this scenario
Stopped at 0.28 m. Needed 0.50 m. Fail.
7 pass · 2 fail, found before anyone was at risk.
/camera/front exposure saturated for 340 ms after the door opened → detection came 0.6 s late → braking started at 1.1 m instead of 1.7 m.
Every run keeps the robot, site and settings that produced it, ready to replay for your safety review.
robot v3.2 · site DC-3 · seed 4127// 03 Why Forge
AI handles the scene, robot, sensors and scenario drafting. Your engineers review, approve and decide what counts.
Calibrated robot movement and sensors in a physics-based twin, so what happens in Forge is a faithful predictor of what happens on site.
When a detail is unclear, the AI asks. When a change would alter what the test means, Forge says so.
Every result carries the measurement behind it and replays deterministically, ready for your safety review.
// 04 Solutions
The workflow is the same whatever moves: describe the world, let AI draft the world and the tests, approve them, read the verdict. We start where the stakes are highest and the floor is busiest.
Autonomous and assisted forklifts in warehouses, distribution centres and docks: pedestrians, loads at height, trailers and mixed traffic.
Explore the forklift solutionAMRs moving goods between stations, shelves and people.
General-purpose robots working alongside people.
Inspection and inventory flights indoors and out.
Field robots facing terrain, weather and crops.
// 05 Who it's for
Will this release hold up at every customer's site?
Recreate each customer's site with AI, run every release against the situations they actually face, and catch what broke before they do.
38 of 40 hold · 1 fixed · 1 new failure
Can I show this prospect it works in their building?
Rebuild the prospect's site from a description or a walkthrough video, run your robot through their busiest hour, and walk into the pitch with a graded result for their floor instead of a generic demo.
12 of 12 ready · 1 fixed before the pitch
Will this robot actually work at my site?
Describe your site and how it runs. Forge builds it and tests the robot there before go-live, with your team reviewing every scenario. No code required.
11 of 12 ready · 1 needs attention
Book a demo
We'll build your world and run it in Forge with you in a 30-minute session.
