Recruiting three inspection design partners

Give ReasoningOne the job.

Manufacturers build the body. Foundation models supply the intelligence. Neither one turns a business objective into work that is provably done — and that gap is where the entire cost sits.

Simulation
arm-01Idle
Fixed cell · $0.93/h
staticdexterous0.1mm
rover-01Idle
Mobile manipulator · $2.92/h
wheeleddexterous20mm
humanoid-01Idle
Humanoid · $10.00/h
leggedbimanual5mmstairs
Press “Run the job”. Nothing below is pre-written — the assignments are computed from what each body advertises.
00:00
Work completed
$0.00
Cost to run
energy · depreciation · inference
0
Human interventions
Verified autonomous jobs

A simulation of the real dispatch logic, not a recording. Assignments are computed from what each body advertises — change the objective and they change. Try “Inject failure”: everyone’s demo shows the happy path.

The difference

Most systems stop at “the robot did something.”

A robot can now run 100 metres in 8.64 seconds. It still cannot reliably tell you whether the counter it cleaned is clean, or what to do when the box it reached for falls. Those two questions are the business.

Goal to Plan to Act to Verify to Done, with a failure branch from Verify into Correct and back into Act.Correctdiagnose · replanfailedGoalthe jobPlanWorkGraphActa skill runsVerifydid it work?Doneevidence
Goal → Plan → Act → Verify → Correct, not Prompt → Action. That reads like a subtle difference. It is the difference between a demo and a business: Verify is what a customer pays against, and Correct is what the rest of this industry is worst at.

Where we sit

We do not build robots, and we are not training a foundation model.

Both races have better-funded owners and are being driven to commodity right now. Every $5,000 humanoid and every open model release makes this layer more valuable, not less.

They are suppliers to this layer, not competitors for it.

Your business objective“Inspect production area A.”
ReasoningOne — the Job OSWorkGraph · routing · verification · recovery · economics
Foundation modelsGemini Robotics · GR00T · open VLAs
Robot driversROS 2 · Unitree · AgiBot · Franka · UR · Isaac
Physical hardwareHumanoid · rover · arm · drone

Hardware interchangeability

One objective. Three machines. Nobody told them who does what.

A hotel-standard room turnover dispatched from a single unchanged API call across three embodiments from three manufacturers. The assignment below was worked out from what each body advertises about itself.

arm-01
Fixed cell · vendor A
no locomotiondexterous0.1mm1 hand24h
AssignedNothingBest precision on site, and it cannot cross a room.
rover-01
Mobile manipulator · vendor B
wheeleddexterous20mm1 hand8hdoors
AssignedBathroom · linens · final inspectionThree of five tasks — everything that did not need two hands.
humanoid-01
Humanoid · vendor C
leggedbimanual5mm2 hands3hstairs
AssignedMake the bed · remove wasteThe only body on site that can hold a sheet taut while tucking it.
5
tasks, one objective, three embodiments
3
manufacturers, one unchanged API call
0
API keys to run the whole stack locally
139
tests across 10 repositories

Fleet

Then run eight hundred of them.

Deploy, monitor, audit and benchmark. An unreachable service is reported as unreachable, never filled in — an operator making decisions about 800 machines must never be looking at a default.

fleet.reasoningone.aiSimulation
Verified autonomous jobs today
1,284jobs
Verified and intervention-free only. 1,284 of 1,341 jobs qualified — 31 did not finish, 19 needed a human, 7 were never verified. One intervention zeroes a job.
Machines online
847
Job completion
98.4%
Interventions / job
0.014
Recovery success
71.2%
Cost / job
$3.81
Human hours replaced
41,204
MachineBodyStateBatteryDoing
humanoid-04legged / bimanual15kg · 5mm · 3hWorking82%Make the bed — room 417
rover-11wheeled / dexterous60kg · 20mm · 8hWorking61%Inspect production area A
rover-07wheeled / dexterous60kg · 20mm · 8hNeeds assistance44%Bin jammed — operator called
arm-02static / dexterous5kg · 0.1mm · 24hCharging12%

Console rendered from the real product; the fleet and its figures are illustrative — we have no deployed machines yet, which the status table below says plainly. Explore the product →

Status, honestly

What is real, and what is not.

We are recruiting partners deliberately early, while the technology can still be shaped by them. That only works if this table is accurate — including the rows that are not flattering.

Working
One objective dispatched across multiple robot embodiments
Running today, in simulation. 139 tests across 9 repositories.
Working
Jobs decompose into a verified, executable plan
Recursive WorkGraph, expanded only as far as available skills require.
Working
Failure recovery as a first-class stage
Diagnose, replan, or escalate — escalating early is a valid answer.
Working
Per-job economics including energy and machine depreciation
A $40k robot over 4,000 hours is $10/hour of capital, booked per job.
Partial
Drivers for commodity robot hardware
Contract, discovery and simulation are done. Every vendor control interface is an unwired seam.
Not yet
Running on a physical robot
Hardware is being procured. First physical job targeted for October 2026.
Not yet
A paying customer
We are recruiting three design partners now, deliberately before the technology is finished.

Design partners

We are looking for three industrial inspection sites.

Manufacturing plants, warehouses, commercial buildings, utilities. Now, while the roadmap is still cheap to change.