# Zelleo Forge | Train a model on your data, within a set budget

> Forge prepares your data, prices training options before anything runs, trains on idle server hours and ships the model only after it passes Verdict.

URL: https://thezelleo.com/forge/  
Last updated: 2026-11-05  
Publisher: Zelleo (https://thezelleo.com/)

Forge · Model training

# 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.

## The real problem

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.

## Interactive demo

Try Forge in the interactive demo on this page. It runs on sample data, not customer results.

## 03 Forge turns your cleaned data into your own model, inside a budget you set.

Forge · in use

### 01. Data refinery: Refine the data

*Data refinery (sample data, not customer results).*
- A. The Data Refinery cleans, de-duplicates, labels and strips personal data from the Land Record.

### 02. Forge plan: Plan the spend

*Forge plan (sample data, not customer results).*
- A. A Forge Plan prices the options before anything trains.
- B. The Spend Dial caps the budget.

### 03. Night shift: Train on Night Shift

*Night shift (sample data, not customer results).*
- A. Training uses hours your agents are not using, so you don’t buy extra capacity.

## 04 How Forge works.

How it works

### 0.1 Pick the job.

One workflow, such as drafting buyer replies.

*Pick the job (sample data, not customer results).*

### 0.2 Refine the data.

The Data Refinery cleans, de-duplicates, labels and strips personal data from the Land Record.

*Refine the data (sample data, not customer results).*

### 0.3 Plan the spend.

A Forge Plan prices the options (cheap and fast, balanced, best) before anything trains. The Spend Dial caps the budget.

*Plan the spend (sample data, not customer results).*

### 0.4 Train on Night Shift.

Training uses hours your agents are not using, so you don’t buy extra capacity.

*Train on night shift (sample data, not customer results).*

### 0.5 Test and ship.

The model passes the Verdict Model Gate, then Ship-to-Plot. The model weights stay on your Ground.

*Test and ship (sample data, not customer results).*

## 05 What it connects to, what it logs, who approves and where it runs.

Specification

- **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.

## Human approval

**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.

## Related products

1. [Verdict](https://thezelleo.com/verdict/): Tests every AI model on your own work before it goes live.
2. [Pulse](https://thezelleo.com/pulse/): Every lead taken from first enquiry to signed quote, then handed to your team.
3. [Council](https://thezelleo.com/council/): Applies your managers’ rules to routine decisions, escalates the rest.

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