Build the model. Keep the proof.
Score the runs. Hold every regression. Train, govern releases, and keep the weights.
Eval, review, regression memory.
Train, govern, ship — and own the result.
Every decision, always attached.
You may know us for Human Data. Models is the other half.
Human Data is the signed data you get from people. Models is the app where you score the runs, hold every regression, train, govern releases, and keep the weights. One record, both sides. This page is the second half.
- ·Evaluation Studio
- ·AuraQC
- ·Regression Bank
- ·Compliance Monitoring
- ·Control Center
- ·Autopilot
- ·Training
- ·RL Environments
- ·Federated Learning
- ·One record per release
- ·Reviewer attached
- ·Regression gate
- ·Export pack you own
Test the work. Review it. Remember what escaped.
Release it with the proof attached. Access, audit, retention, and exports live inside the workflow.
Test it before it ships.
For the teams who stopped trusting the eval script.
Quality that doesn't end at ship day.
Every issue. Every reviewer. One screen.
Every mistake. Only once.
Every escaped failure becomes a gate the next release cannot cross.
Compliance that writes itself.
The record builds as the work is done. Access, audit, retention, and exports live here too.
EP·4187
The last check before it ships.
Tests, reviews, regressions, and compliance converge here.
The stack, on one page.
Start here. Every module, every group, one scroll.
Describe the workflow. Train on the reviewed work.
Run the agents. Learn together. Keep the updates without sharing the data.
Describe it. Watch it run.
Workflows that build themselves — and wait for the approval you set.
EP·4187
Your model. Yours to keep.
Train on reviewed work. Keep the tuned weights. Export the record.
Environments built by the people who use them.
Reviewed once. Approved once. Available to every team that needs them.
Learn together. Keep it separate.
Share the updates. Not the data.
A signal becomes a decision without losing context.
An evaluation miss can become a regression case, reviewer assignment, compliance finding, and release hold without becoming five separate stories.
Saved regression
Decision evidence
EP·4187
What teams leave with.
The point is not more tooling. It is leaving every run with something the team can act on.
Scorecards
One read on what passed, what failed, and what needs another look.
Review records
The case, the reviewer notes, and the final call stay together.
Replay suites
Escaped issues become repeatable checks the next release must pass.
Decision timelines
What changed. Who approved it. Whether the work moved forward.
Evidence packets
Checks, history, and proof — ready when someone asks.
Build the model. Keep the proof.
Bring the release, the review queue, or the escaped issue that matters most. We will show how it runs.