Example performance signal
TactileLab
Connector Insertion — Human Tactile
End-to-end data network
From fragmented supply
to one trusted route.
Normalize different providers, sensors, formats, quality standards and licensing models behind one unified skill-dataset layer and one routing engine.
Data Router
Ask for a skill. Get the right mix of data.
The router maps your robot, model, task, failure mode and budget to the highest-value combination of existing datasets and new collection.
Route a skill →SKILLROUTER
OutputConnector skill pack72.2K episodes · high confidence
RightsCommercial trainingDeployment allowed · no redistribution
Illustrative lift+21pp success rateExample routing scenario
◎
Performance-aware routingRanks suppliers by quality, fit and training lift
Unified licensing
Evaluation, training, deployment and derived-model rights across independent suppliers.
Data Request
If the dataset does not exist, turn demand into a custom collection request across the network.
Data Performance Score
Rank datasets by quality, compatibility, sample efficiency and reported training lift.
Hosted access
Keep data on-platform for secure, metered training and pay-per-training workflows.
Skill Datasets
Find the right skill dataset,
not a random ZIP file.
Explore training-ready data by skill primitive, robot embodiment, model family, sensor modality and evaluation evidence.
Illustrative examples: dataset packages, performance signals and pricing are sample routing scenarios, not published customer results or offers.
Core unit of the network
Everything is organized around a Skill Dataset.
A Skill Dataset is the platform’s core unit: the data, modalities, embodiment fit, license rights, failure coverage and training evidence needed to teach one robot capability.
SKILLConnector
Skill Composer
One skill can be assembled from many providers.
The router assembles human, robot, synthetic and failure data into the best training mix for the target robot and model.
Human tactile12.4K episodes · 94 QA
Robot teleop9.8K episodes · native
Synthetic50K edge cases
Failure / recovery2.8K events
DATA
ROUTER
ROUTER
Generated Skill DatasetConnector Insertion v472.2K episodes · VLA-ready
Robot-native
RoboOps Co.
Dual-arm Assembly Teleoperation
Large scale
SimGen
Connector Failure Edge Cases
Expert demo
SkillWorks
Industrial Fastener Expert Skills
Can't find the exact data your robot needs? Create a structured request and let qualified providers respond.
Request custom data →How it works
From requirement
to training result.
A simple workflow for buying and validating Physical AI data without rebuilding data operations for every supplier.
01
Define
Describe the robot, model, skill, failure mode and target performance.
02
Route
Match existing human, robot and synthetic datasets — or create new supply.
03
License & train
Use standardized rights, secure delivery or hosted training access.
04
Evaluate
Return anonymous performance signals to improve future routing and pricing.
Live training loop
RequirementRobot failureFalse engagement + slip on connector insertion.
RouterSkillSpecRobot × model × skill × budget converted into data demand.
DataRouted Skill DatasetHuman + robot + synthetic + recovery data.
HostedTraining job8× H100 · metered episode usage · private access.
RobotEvaluation runSuccess, speed, safety, interventions and recovery.
Feedback+21pp successResult returns to the Dataset Performance Graph.
Data Request
If the data does not exist,
the network creates supply.
A robot team can request a missing skill dataset. The router turns that demand into a structured collection brief, routes it to qualified providers and combines new Human, Robot and Synthetic supply into one training package.
Buyer request #582320K door connector installsTesla-like geometry · RGB-D + F/T + tactile · commercial training rights · delivery in 6 weeks.
DATA
REQUEST
ROUTER
REQUEST
ROUTER
Human expert provider8K expert demonstrationsTactile + RGB-D · 4 weeks
Robot data provider6K teleoperation episodesRobot-native · F/T · 5 weeks
Simulation provider50K synthetic edge casesRare failures · 10 days
Train on our platform
Route data. Train the model.
Prove the robot gets better.
Use licensed data on your own compute, run hosted training jobs on the platform, or keep data private with secure hosted access. Then send back evaluation to improve future routing.
Integration workflow
From robot failure to a trained checkpoint.
We are not just a static data catalog. The platform can sit in the training loop: define the skill, route the right data mix, run training, evaluate on the robot and feed performance back into the network.
01
RouteCreate a SkillSpec from the robot, model, task and failure mode.02
TrainUse BYOC data streaming or hosted training jobs with metered access.03
EvaluateBenchmark success rate, completion time, safety and intervention rate.04
FeedbackReturn anonymous lift signals so the router gets smarter for the next team.Hosted Training Access · connector_insertion_v4● RUNNING
Licensed episodes consumed48,620 / 72,200
GPU compute8× H100 · 5.8 hr
Skill dataset read1.8 TB · 6 training runs
Pay-per-training meter$3,842Data access + compute + platform fee
What the platform manages
For robot companies
Use one API to route skills, access licensed data, trigger training jobs and submit performance feedback.
1Search by skill, robot embodiment, model family and failure mode.
2Consume routed datasets as MCAP, LeRobot or customer schema.
3Upload evaluation metrics like success rate, completion time and safety improvement.
One contractOne billOne SDK
For data providers
Keep data in your own storage or on hosted access, register manifests, attach license rights and join demand-side routing.
1Register storage, metadata and skill coverage through a provider API.
2Expose training rights, deployment rights and usage policies.
3Get visibility into downloads, hosted usage and verified training lift.
DistributionLicensingMonetization
Developer-friendly API
Robot SDKHosted TrainProvider SDK
Route data + train
from skillrouter import Client client = Client(api_key="sk_live_...") route = client.route.create( skill="connector_insertion", robot="dual_arm_v2", model="vla", failure=["false_engagement", "slip"], budget=50000 ) job = client.training.create( route_id=route.id, trainer_image="company/vla-trainer:v4", compute="8xH100" ) checkpoint = job.wait().checkpoint_uri
Return evaluation feedback
job = client.training.create(
route_id=route.id,
trainer_image="company/vla-trainer:v4",
compute="8xH100",
mode="hosted"
)
metrics = client.evaluations.create(
training_job=job.id,
benchmark="connector_suite_v2",
return_credits=True
)
client.feedback.create(
training_job=job.id,
skill="connector_insertion",
before={"success_rate": 0.61},
after={
"success_rate": 0.84,
"avg_completion_sec": 16.2,
"intervention_rate": 0.06,
"collision_rate": 0.01
},
visibility="anonymous"
)
# earn credits for verified feedbackProvider onboarding
provider.datasets.register(
storage="s3://provider-bucket/assembly-v3/",
manifest="manifest.json",
skill="fastener_installation",
formats=["mcap", "lerobot_v3"],
rights={
"evaluation": True,
"commercial_training": True,
"deployment": True
}
)
# data can stay in provider storagePerformance Intelligence
We know what data
makes robots better.
The moat is not the number of datasets. It is the network's growing understanding of Dataset × Model × Robot × Skill → Training Performance.
Illustrative performance scenario
See how a routed data mix can be evaluated.
Performance feedback can improve routing, quality scoring and pricing for the next request.
Success rate0
Sample efficiency0
Failure rate0
Compatibility0
Example Dataset Performance GraphDataset × Model × Robot × Skill
Human tactile+21pp modeled
Robot teleop+16pp modeled
Synthetic failures+17% efficiency
VLA modelπ-like policy
RobotDual-arm v2
Connector insertion92/100 compatibility
Routed skill mixBaseline
Security, rights & formats
Enterprise-grade access
for valuable physical-world data.
Physical AI data is not just a file problem. The platform standardizes licensing, secure access, usage metering and training-ready formats so buyers and suppliers can actually transact.
Standardized Physical AI License
Make rights clear before training starts.
Every skill package can expose evaluation rights, commercial training rights, deployment rights, derived-model rights and private hosted-access policies. That removes repeated legal work and makes pricing more transparent.
Rights surfaceEvaluation, fine-tuning, pretraining, deployment and internal benchmark scopes.
Usage controlsDownload, hosted access or bring-compute-to-data, all with auditable access policies.
Training-ready formatsMCAP, LeRobot v3, video + metadata and customer schemas with QA validation.
Commercial trainingStandard platform license
- Train up to 3 internal model families
- Commercial deployment allowed
- No dataset redistribution
- Derived checkpoints permitted
Private hosted accessBring compute to data
- Supplier keeps raw data private
- Buyer receives checkpoints + logs
- Usage metering and audit trail
- Higher-trust enterprise workflows
What buyers get
A single interface for licensing, access, routing, billing and performance reporting — even when data comes from multiple providers.
One contractOne billOne schema layer
What providers keep
Control of storage location, visibility, license scope, private listings and whether raw data can be downloaded or only used through hosted access.
Private listingsHosted onlyUsage analytics
Quality and provenance
Each dataset can expose capture method, modalities, QA score, embodiment compatibility, safety annotations and verified training lift.
DataQAProvenancePerformance score
MCAPLeRobot v3Parquet + MP4Usage meteringAudit logRights policy
For data providers
Turn specialized data into distribution.
Bring robot trajectories, expert demonstrations, tactile data, simulation or proprietary historical data. We help standardize, license, price, evaluate and distribute it to qualified robot teams.
Become a provider →Tactile StartupIllustrative supplier profile
Robot Data LabIllustrative supplier profile
Simulation VendorIllustrative supplier profile
DATA
NETWORK
NETWORK
Industrial Robot Co.Illustrative demand profile
Humanoid StartupIllustrative demand profile
World Model LabIllustrative demand profile
Illustrative routing flow
Start with one skill
Tell us what your robot needs to learn.
Route to existing data, request new supply, or bring your own dataset into a trusted Physical AI data network.