AsterTek

AI that stays on your systems.

For organizations that cannot send sensitive work to the public cloud.

We build AI that runs inside your environment — where your security, compliance, and IT teams set the rules.

When "send it to the cloud" is not an option.

Sensitive data

Contracts, health records, resident data, and internal reports stay inside your walls.

Compliance

Meet regulatory and contractual requirements without shipping work to outside vendors.

Speed on site

Answers where the work happens — plants, field offices, and remote sites.

Predictable cost

Know what you are spending instead of watching a meter run on every request.

Offline & edge sites

Locations with weak or no connectivity still need AI that can function locally.

IT control

Your team decides who accesses what, and can show auditors what happened.

AI systems your security team can stand behind.

Private AI workflows

End-to-end AI work that runs inside your environment — from input to output.

On-site AI systems

Deployed on servers and infrastructure your organization owns or controls.

Edge deployments

Packaged for field locations where connectivity is limited or latency matters.

Domain-specific AI

Tuned to your documents, terminology, and rules — not generic off-the-shelf answers.

Access & policy controls

Who can use it, what it can touch, and what gets logged — built in from the start.

Human review steps

High-stakes outputs go to a person before they affect a customer or decision.

Where teams deploy private AI first.

Document review

Search, summarize, and classify sensitive files without sending them outside.

Request triage

Sort and route incoming tickets and requests on your own systems.

Internal Q&A

Staff get answers from approved policies and manuals — not the open web.

Field support

Technicians get help on-site, including where the network is unreliable.

Leadership briefings

Summaries for executives with data residency and access rules intact.

Need AI inside your security boundary?

We scope a deployment around your data rules, your sites, and your use cases.

Discuss a private AI deployment