The training platform for specialized agents
Turn your agents’ production data into specialized models you own. Prepare data, train, evaluate, and deploy from one platform.
From production data to a model you own
An AI lab for your engineering team.
You don’t need a frontier model for every task. Train smaller models for the work your agents do, from labeling emails to calling APIs, and measure them against the model you use today.
01 / Code and production context
Find the cause of agent failures.
Connect your repository and production traces to see how your agent makes decisions. Inspect the failing step, the tool call, and the context behind it.
02 / Data preparation
Turn real work into training data.
Build datasets from your agents’ production traces. Clean, filter, and prepare examples for training and evaluation, capturing the knowledge specific to your business.
03 / Evaluation and optimization
Prove improvements before you ship.
Test prompts and models against real tasks from your production data. Compare results with your current model, inspect failures, and catch regressions before deployment.
04 / Training and deployment
Train a model for your tasks.
Fine-tune an open model on your own data. Overmind handles training and deployment. You own the weights, with the choice to host on Overmind or run it yourself.
Intelligence-grade foundations
Built by AI & defense intelligence pioneers
Overmind is engineered on secure, robust foundations, not fragile wrappers. Founded by security engineers with combined decades of experience across defense intelligence, ML infrastructure, and fintech hyper-scaling.
Air-gapped & on-prem deployment
Run the entire harness inside your private cloud or local environment.
Zero third-party training
Your proprietary operational data never leaves your pipeline to train public foundation models.
Deterministic validation
Advanced verification harnesses ensure model outputs are empirically tested before deployment.
Own the model your product runs on
Create a free account and get started

