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EZTECH Private AI

Frontier-class AI.Inside your perimeter.

For teams that can't put client files, contracts, board packs, or customer data into ChatGPT, Claude, or other hosted AI tools.

On-premYour server
VPCYour network
Air-gap capableDisconnected
Secure on-prem private AI system inside a protected network perimeter
Local model + private dataNo external AI API
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Bring us one sensitive workflow. We'll map the private AI route.

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§ 01 / Why private

ChatGPT and Claude are powerful.Your sensitive data can't always go there.

Regulated teams need the same AI speed without uploading confidential files, client records, or internal decisions to a third-party AI workspace.

We bring frontier-grade models to your data.

On-prem / appliance
Your server, your control.
Predictable cost, full data residency.
Customer VPC / private cloud
Inside your network boundary.
Managed access, easier scaling.
Disconnected / air-gap capable
No external calls required.
For the strictest environments.
Hosted AI tools blocked from sensitive data while private AI runs inside the company perimeter
Hosted AI outsidePrivate AI inside
§ 02 / What we build

Four use cases.Same private stack.

For legal, finance, healthcare, and public-sector teams. Built on the same private deployment, tuned per workflow.

Four private AI use cases connected to one secure internal AI stack: legal, finance, knowledge, and documents
01 / use case

Legal copilot

Ask questions over contracts and get cited answers — without uploading client documents to hosted AI.

Runs inside your perimeter
02 / use case

Finance & reporting agent

Analyse board packs, ledgers, and reports with source links while the data stays in your environment.

Runs inside your perimeter
03 / use case

Internal knowledge assistant

Role-aware answers over policies, SOPs, HR, compliance, and internal knowledge bases.

Runs inside your perimeter
04 / use case

Document processing

Classify, summarize, extract, and redact sensitive information at scale with a full audit trail.

Runs inside your perimeter
Controls we design in
SSORBACAudit logsCitationsLocal embeddingsHuman approvalsEval setsData residencyNo training on your data
§ 03 / Delivery

Discovery. Pilot. Scale.

Three steps from first conversation to a private workflow running in production.

01
Discovery

Use case + risk fit. We map data, access, and a first private workflow.

02
Pilot

One workflow deployed inside your environment. Live with real users.

03
Scale

More teams, more data sources, more agents — on the same private stack.

Hardware guidance included
We size the server, GPUs, VRAM, storage, and deployment model for your workload.
On-prem · VPC · air-gap
§ 04 / Get started

Start with one workflow your security team will actually approve.

We'll design a private AI pilot scoped to your data, your perimeter, and your audit trail.

→Book a call
for finance · legal · healthcare · public sector