Check deployment fit
See if your robot can move through this site, see the task, and finish the job before a field visit.
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Food distribution
Front Range Cold Storage Pod
1911 Groveport Rd, Columbus, OH 43207
A chilled pick room with an airlock handoff, insulated staging, and short route lengths.
This world model is built from real capture of this facility. Use it to answer a deployment question on the real site, compare the package with hosted evaluation, and decide how your team should test before visiting.
Temperature-sensitive pick flows.
Bin pick under temperature constraintsVision + thermal tags
SW-COL-05
Why teams use this site
What teams use this listing for.
The point is to answer one real deployment question before the expensive part starts.
Make site-specific data
Render runs from this exact site, vary scenarios, and export outputs for training or debugging.
Compare releases
Run the same task on the same site after each software update so regressions are easy to spot.
Train and demo
Use the exact site for customer demos, operator walkthroughs, and shared remote review.
Site Package
Buy the site package.
Everything your team needs to run its own world model on this facility — walkthrough media, geometry, metadata, and rights.
Walkthrough video, timestamps, and camera poses
Site metadata, workflow notes, and provenance
Geometry / depth artifacts when available from source capture
Package manifest plus rights and privacy terms
Best fit
Teams that want all the site data in their own stack
Starting price
$3,200
This is the path for internal review, integration work, or a team that wants to run or generate its own world model for the site.
Request site packageHosted evaluation
Request hosted evaluation for this site.
Blueprint runs this site for you. Rerun tasks, review failures, compare checkpoints, and export results — no local setup needed.
Streamed world-model runtime on one exact site
Reset, rerun, and scenario changes
Rollout exports, datasets, and raw bundles
Policy comparison on the same site
Airlock Entry
Cold Pick Bay
Outbound Insulated Bin
Best fit
Teams that want to run the site now
Self-serve starting rate
$24 / session-hour
A session-hour is one hour of self-serve hosted runtime on one exact site. It covers the live session time used to run, rerun, inspect, and export results. Managed, priority, or higher-touch work is scoped separately when the job needs more support.
Request hosted evaluationSimple eval loop
What hosted evaluation looks like
One site. One task. One robot question. Start the session, run the task, compare the result, and export what matters.
Step 1
Pick the site
Pick the exact site you want to test so the run stays tied to one real place.
Step 2
Start the hosted session
Blueprint brings up the managed hosted run built from that site.
Step 3
Choose robot, sensors, task, policy/checkpoint, and scenario variation
Choose the robot setup, the task, the policy, and the variation you want to run.
Step 4
Receive the starting observation
The session returns the first view of the site so the policy has a starting point.
Step 5
Let the policy choose an action
The policy decides what to do next, such as move, turn, lift, grasp, or stop.
Step 6
Get the next observation
The hosted world model advances the run one step and returns the next view.
Step 7
Repeat until success, failure, or timeout
Keep looping until the task succeeds, fails, or times out.
Step 8
Score the run, export results, and compare policies
Review the results, export the outputs, and compare checkpoints side by side.
What goes in
- Exact site selection and workflow lane
- Cold-room picker with arm camera and thermal state feed
- Pick the target bin and hand it off without breaking the route timing
- Normal Chill Cycle, Airlock Delay, Reordered Outbound Bins
What comes back
- Starting observation from Front Range Cold Storage Pod
- Step-by-step observations as the run progresses
- Rollout video, metrics, and failure cases
- Dataset or raw bundle exports tied to the run
- Checkpoint comparison on the same site
What teams do with this world model
- Check deployment fit before travel
- Generate site-specific data
- Compare releases on the same setup
- Train operators or run customer demos
Example
A sample eval loop for Front Range Cold Storage Pod
A team picks Front Range Cold Storage Pod, chooses Cold-room picker with arm camera and thermal state feed, and tests Cold-chain policy 3.4 on the task to pick the target bin and hand it off without breaking the route timing. They run a few variations like normal chill cycle and airlock delay to see whether the lane is viable, what breaks first, and whether the checkpoint is ready for a real visit. Then they review the rollout video, metrics, failure cases, and exported data.
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