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What we do
01

Custom AI Models

Models trained on your data

We train and tune models on your data and your domain, so the answers fit your business and the IP stays yours.

Off-the-shelf models know the public internet. They do not know your products, your customers, or how your team actually works. We fix that.

We fine-tune and train models on your own data, then wrap them in tests and guardrails so you can trust the output. You can run them in your cloud, your VPC, or on your own hardware.

The result is intelligence that fits your business, costs less to run than always calling a frontier API, and belongs to you.

What you get

  • Answers based on your data, not generic guesses
  • Lower cost per request at scale
  • A model you own and control

What we deliver

  • Fine-tuned and distilled models
  • Evaluation suites and guardrails
  • Private or self-hosted deployment
How we build it

A clear path to the outcome

No black box. Here is exactly how we take custom ai models from idea to something dependable running in your business.

01

Frame the task and the bar

We define the exact job and the quality bar, then build an evaluation set from your real examples so success is measurable.

02

Prepare your data

We clean, label, and structure your proprietary data into a training and retrieval set, with privacy controls from the start.

03

Fine-tune and distill

We tune an open or frontier base model on your data, then distill it down so it is fast and cheap to run.

04

Guardrail and deploy

We wrap the model in tests, guardrails, and monitoring, and deploy it in your cloud, VPC, or on-prem.

Representative stack

Llama Mistral PyTorch Hugging Face vLLM Weights & Biases

We choose tools to fit the job and your constraints. We are not tied to any one vendor.

A lone figure on a bright path through the dark

Let's put custom ai models to work

Take the assessment. You get your readiness score and a clear place to start, then we turn it into a fixed-price plan in one working session.