Your own AI model, trained on how your company works

We fine-tune open-weight models on your real work, connect them through BackContext, and keep them improving. Frontier-level accuracy on your tasks, at a fraction of the cost.

Applied Crew model trained on customer data, records and documents

BackContext journal of agent sessions and outcomes

Evaluation suite comparing an Applied Crew model with frontier models

665K+

Work records captured

97.4%

Average task accuracy

46×

Lower cost per task

Frontier models are brilliant generalists. Your business runs on a few hundred specific tasks, done the same way thousands of times a day.

We train a model that does exactly those tasks, better and for less, and keep it improving.

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How it works

One loop that keeps getting smarter

01. Record & connect

BackContext records every task your team and agents complete, and links it to what actually happened

02. Verify & train

Verified outcomes become training data. We fine-tune an open model and benchmark it against Opus 5.5, Fable 5.1 and GPT-6 Astra

03. Deploy & improve

It ships behind a quality gate with frontier fallback. Every new outcome makes the next version better

Benefits

Why teams switch to Applied Crew models

Frontier accuracy on your tasks

97.4% on held-out evals, ahead of Fable 5.1 and GPT-6 Astra

46× lower cost per task

$1.40 per 1,000 tasks, against $65 on GPT-6 Astra

Applied Crew models running in production

Your weights, your cloud

Deploy in your own VPC. No per-token bill, no lock-in

Works with every agent you run

Claude Code, Codex, Cursor and any MCP client, through BackContext

Better every week

Every verified outcome becomes training data for the next version

Customer reviews

Trusted by the teams who run the work

“We stopped paying frontier prices for a task our own model now does better. The eval report made the decision easy.”

VP, Recruiting Operations

Staffing

“BackContext was running across every agent tool in a day. Five weeks later we had the training data most teams spend a year collecting.”

Head of Delivery

IT services

“Our order desk used to retype every email. Now the model reads them the way our team does, including the abbreviations nobody documented.”

Director of Operations

Agriculture

“They benchmarked against Opus 5.5 and GPT-6 Astra on our own data before we committed to anything. That’s the only comparison that matters.”

CTO

Logistics

“The model runs in our VPC. Legal signed off in a week instead of a quarter.”

General Counsel

Healthcare services

“Every week the model gets a little better, because every outcome goes back into training. That compounding is the product.”

COO

Insurance

FAQ

Frequently asked questions

Have more questions?

Your own AI model, trained on how your company works

Everything it takes to own your AI

One loop that keeps getting smarter

Real work, measured in production

Why teams switch to Applied Crew models

Trusted by the teams who run the work

Research and field notes

Frequently asked questions