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Private deployment

Run your models in your cloud, with frontier fallback built in. We deploy into your AWS, GCP or Azure account, inside your VPC, or onto Applied Crew–managed inference, behind an OpenAI-compatible API. The weights are yours either way.

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Engagement

What’s included in this service?

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Your cloud or ours

Your AWS, GCP or Azure account and VPC, or Applied Crew–managed inference. The same model, API and dashboards either way.

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Autoscaling GPU serving

Serving that scales with your traffic and holds a 0.4s median latency at production volume.

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OpenAI-compatible API

Existing clients and SDKs work against the new endpoint, so most integrations change a base URL, not application code.

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Fallback and cost dashboards

Low-confidence tasks route to a frontier model automatically. Per-task cost dashboards show what every workflow spends.

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Why it matters

Why this service matters

Data that can’t leave your network shouldn’t keep you on the most expensive option. Running in your VPC keeps inference inside your boundary, and at 1M tasks a month a fine-tuned model saves $763K a year against GPT-6 Astra.

Inference inside your VPC
Weights you own and can move
$763K a year saved at 1M tasks a month
Frontier fallback when confidence is low
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FAQ

Frequently asked questions

Have more questions?

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Which clouds do you support?

AWS, GCP and Azure, in your own account and VPC. If you would rather not operate GPUs, we run the model for you on Applied Crew–managed inference.

What happens to our data?

It trains your models and nothing else. It is never pooled with other customers, never used to train shared models, and encrypted at rest.

How does frontier fallback work?

Every response carries a confidence score. Below the threshold you set, the task routes to a frontier model instead. At DataFoldIT, 2.1% of tasks fall back.

How do we integrate it?

Through an OpenAI-compatible API. Point your existing clients at the new endpoint; most teams switch without rewriting application code.

What does it cost to run?

Applied Crew models run at $1.40 per 1,000 tasks, fully loaded GPU inference at production volume, against $65.00 for GPT-6 Astra. Per-task dashboards show the live figure for every workflow.

Your own model, trained on your work, in production in weeks

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Applied CrewOakland, California

We train AI models on how your company works, and keep them improving.

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