VerifAI is a thin verification layer — VeriStamp on the run, VeriBOX around it — that clips onto whatever setup you already have. Bring a model, bring a dataset, or bring an entire training rig. The proof is the same.
Detection, segmentation, and inspection models for factories, drones, hulls, and ports.
Credit, reserving, churn, and pricing models with a full audit trail from data to decision.
Forecasting for demand, fuel, load, and traffic — with replayable stress scenarios.
Domain assistants trained on approved corpora, with retrieval-grounded answers.
Intake, dispatch, and support voice agents with intact transcripts.
Robotics, drones, and autonomous-vessel policies with attested training runs.
Our stack is an add-on. A small verify layer that sits on top of whatever you already run. Three ways to self-serve, in order of how much you keep on your side.
Point an existing training script at our endpoint. VeriStamp attaches a small evidence record to each run. Your code, your GPUs, your data — our verify layer on top.
Upload or stream a dataset you own. Train on our managed runners, keep the checkpoint, and export it anywhere. Every batch is stamped so a reviewer can confirm which data produced which weights.
Keep the training entirely on your own infrastructure. Drop in VeriBOX as a thin sidecar and VeriStamp on the run itself. Nothing leaves your network — only the small evidence record is anchored publicly.
The difference between self-serve and managed is who runs the training and where — not what gets verified.
| Self-serve | Managed | |
|---|---|---|
| Where the GPUs live | Your laptop, your cluster, or ours | Ours, sized to the job |
| Where the data lives | Wherever you point it | Your tenant on our stack |
| Who tunes the run | You | Our team, with your review gates |
| Verify layer | VeriStamp + VeriBOX on top | VeriStamp + VeriBOX on top |
| Evidence anchored publicly | Yes | Yes |
| Good for | Teams that want control end-to-end | Teams that want a delivered outcome |
Product names shown (VeriStamp, VeriBOX) refer to the add-on verify layer only. This site is a mockup and makes no technical or legal claim beyond the descriptions above.
Talk to us about attaching the verify layer to your existing training pipeline — self-serve or managed.