Your own AI model, at a spend you choose.
Forge cleans your data, picks the cheapest way to reach the quality you need, trains while your hardware is idle, tests the result with Verdict, and puts it to work in a Plot.
Training starts with cleaning. Most teams budget for the training and discover they should have budgeted for the data.
Ask for a Forge Plan on one workflow. It’s an estimate, not a commitment.
Try Forge. Click through it the way your team would.
Every figure in the demo comes from a sample data set, not a customer result.
Forge turns your cleaned data into your own model, inside a budget you set.
01 Refine the data
| Step | Records |
|---|---|
| Pulled from Land | 18,200 |
| De-duplicated | 14,900 |
| Personal data stripped | 14,900 |
| Labelled | 9,400 |
- A. The Data Refinery cleans, de-duplicates, labels and strips personal data from the Land Record.
02 Plan the spend
| Option | Quality | Estimate |
|---|---|---|
| Cheap and fast | Good | Lowest |
| Balanced | Better | Middle |
| Best | Best | Highest |
- A. A Forge Plan prices the options before anything trains.
- B. The Spend Dial caps the budget.
03 Train on Night Shift
| Window | Use |
|---|---|
| 08:00–20:00 | Agents, live work |
| 20:00–06:00 | Training |
- A. Training uses hours your agents are not using, so you don’t buy extra capacity.
How Forge works.
Pick the job.
One workflow, such as drafting buyer replies.
Refine the data.
The Data Refinery cleans, de-duplicates, labels and strips personal data from the Land Record.
| Records | Kept |
|---|---|
| 18,200 | 9,400 labelled |
Plan the spend.
A Forge Plan prices the options (cheap and fast, balanced, best) before anything trains. The Spend Dial caps the budget.
| Option | Chosen |
|---|---|
| Balanced | Within cap |
Train on Night Shift.
Training uses hours your agents are not using, so you don’t buy extra capacity.
| Window | Use |
|---|---|
| 20:00–06:00 | Training |
Test and ship.
The model passes the Verdict Model Gate, then Ship-to-Plot. The model weights stay on your Ground.
| Gate | Result |
|---|---|
| Verdict Model Gate | Passes |
What it connects to, what it logs, who approves and where it runs.
| Prepares | Cleaned, de-duplicated and stripped of personal data before training. |
|---|---|
| Spend | Options priced against a budget you cap, before anything runs. |
| Runs on | Capacity your agents are not using. |
| Ships when | It passes your own test set in Verdict, and its weights stay with you. |
It ships only after it passes your own test set, and its weights stay with you.
Agents act within granted permissions; consequential actions need human approval.