Keep your engineering data out of someone else's AI.

PrivateStack gives your team open AI models in a governed workspace: your specs, supplier pricing, and process data are never retained by a model provider and never used for training. Enterprise deployments run inside your own AWS account.

Why it matters

Why manufacturing teams choose PrivateStack

The risk

Your product specs and supplier pricing are the reason you're still ahead. Paste them into ChatGPT and you're trusting a terms-of-service checkbox to keep that edge yours.

With PrivateStack

PrivateStack makes it contractual: zero-retention inference, no training on your data, full audit logs. And on an Enterprise deployment inside your own cloud account, nothing leaves your infrastructure in the first place.

Connect PrivateStack to your ERP, your document library, your internal wiki. Plant managers and engineers get straight answers pulled from your own files, not a chatbot guessing.

Hosted workspaces are live in minutes with no new servers to run. Enterprise deployments run inside the AWS account you already have, administered by your existing IT team.

Solo / Entrepreneur is $49/month for one seat, by invitation. Team is $99/user/month for up to 9 seats, sales-assisted. No usage-based billing surprises as adoption grows.

At a glance

PrivateStack is a governed AI workspace for manufacturers. Specs, supplier pricing, and process data stay out of consumer AI tools.
Models: open-weight families including Llama, Mistral, DeepSeek, GLM, Qwen, and Gemma.
Every request is logged in a complete, exportable audit trail.
Hosted-tier inference is processed by a disclosed US-based subprocessor under contractual zero-retention terms: prompts are never stored and never used for training.
Enterprise BYOC deploys inside your own AWS account. On a BYOC deployment, data never leaves your VPC.
Pricing: Solo / Entrepreneur is $49/month for one seat, by invitation. Team is $99/user/month for up to 9 seats, sales-assisted. No usage-based billing surprises.

Plan the evaluation

Bring the workflow, the owner, and the evidence.

Synthetic example — not a customer story or measured result.

Summarize fictional supplier specifications using invented dimensions and prices. Have an engineer compare the summary with the supplied source notes.

Who decides: Engineering owner, procurement lead, and information security
Data risk to resolve: Supplier terms, product designs, and export restrictions may require a different boundary than a public-data prototype.
Deployment question: Which routes leave the proposed deployment, who holds its keys, and what would change before proprietary specifications are introduced?
Evidence to request before approval: An inventory of allowed inputs and excluded proprietary material
A dated egress and key-custody review
Named patching, support-access, and incident owners

Use this checklist to prepare your conversation. It is not evidence that a deployment passed review. Confirm current controls against the Trust Center and the configuration being proposed.

Review the AWS BYOC evaluation questions

Ready to see PrivateStack in your environment?

Open models running in your own cloud, with the logs and controls to prove it. We'll walk your team through the exact architecture.