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Managed Private AI

Your team's AI usage is already happening. Get it inside your perimeter.

Every day, someone on your staff pastes a client contract, a patient record, or source code into a public AI tool to "clean it up." No audit trail. No data-processing agreement. No way to know what left the building. That is not a policy problem — it is an infrastructure problem. We fix infrastructure.

01 / THE GAP

Cloud AI is a compliance incident waiting for a calendar slot.

The public models are powerful. They are also a black box sitting on someone else's server, training on someone else's timeline, subject to someone else's breach notice.

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Your DLP can't see the browser tab

Every control you bought watches email, endpoints, and file shares. None of them watch an employee pasting a contract into a chat window.

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Your SOC can't log the prompt

No audit trail, no session record, no way to reconstruct who asked what — or what answer walked back out the door.

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Compliance runs on trust alone

Your compliance officer just has to hope nobody pasted anything regulated. They did. They will again. It's not a training issue — it's a missing-option issue.

THE RESOLUTION

Your team needs AI productivity. Your contracts and regulators need data custody. Those two requirements only meet in one place: a model that runs on hardware you control, on a network we already secure.

02 / THE XACCEL ANSWER

Operated — not installed and abandoned.

We deploy, harden, monitor, and support a dedicated AI instance inside your environment. Your users get a URL. We get the pager. The model runs on-premises, the weights stay local, and the prompts never touch the public internet.

Because we already run your identity stack, your backups, your security layers, and your compliance posture, adding a private AI node doesn't require a new vendor, a new contract, or a new audit. It's simply another workload under your existing Xaccel agreement.

Included What you get

  • A private endpoint — your team logs in to your AI, not out to a public provider
  • Model curation & updates — we stage, test, and deploy releases; you never babysit version compatibility
  • Identity-tied access control — SSO, MFA, and user provisioning through the same stack we already manage
  • Tamper-evident audit logging — every prompt, every response, every token, written to your audit log under your retention policy
  • 24/7 health & performance monitoring — same dashboard, same engineers, same SLA

Excluded What you don't get

  • Another vendor to chase for patches — one team, one agreement, one accountability
  • A capital project that dies in procurement — hardware amortized into your monthly service
  • A "set it and forget it" appliance — nothing here becomes a liability in six months
03 / HOW IT WORKS

From zero to inference — without adding a single new vendor.

WK1
Design
We size the workload to your actual use case: headcount, concurrency, document types, and compliance requirements. Whether the right fit is a single edge node or a rack-scale deployment, we spec it with our engineering partners at Demirari AI and handle hardware procurement, burn-in, and delivery.
WK2
Integration
We rack, network, and harden the system inside your existing perimeter. Identity ties to Azure AD, Okta, or Secret Double Octopus. Logging feeds your SIEM. Backups follow your existing Veeam schedule. Not a foreign object on your network — a native extension of it.
WK3
Onboarding
We train your admins, publish the user endpoint, and tune the model for your domain: legal templates, medical terminology, codebases, or internal knowledge bases via RAG. Then we hand you the keys — and keep the engine running.
24/7
Managed, ongoing
Patching, model updates, security hardening, performance tuning, and incident response — all under your existing Xaccel SLA. You see the same live health dashboard our engineers watch.
04 / WHAT IT REPLACES — AND WHAT IT DOESN'T

Honest capability mapping.

Replaces cloud APIs for

  • Internal document drafting and revision
  • Code review, explanation, and generation
  • Policy and contract analysis
  • Research synthesis from your own document stores
  • Sensitive data processing where custody matters

Does not replace (yet)

  • Real-time web search and browsing
  • Multimodal image/video generation at enterprise scale
  • The absolute bleeding-edge frontier models
The honest pitch

For the 80% of daily AI work that involves your proprietary data, a local 70B-class model on dedicated hardware is faster, cheaper at scale, and infinitely more compliant. For the remaining 20%, your team can still use public tools for low-stakes tasks — but now they have a safe default for the work that matters.

05 / THE SECURITY STACK

Same layers. New asset.

Your private AI instance inherits every security control we already operate for you — nothing new to learn, nothing new to audit.

IDZero Trust & Identity
SSO and MFA required for every prompt session. No anonymous access, no shared API keys floating in Slack — every interaction is a named, authenticated user.
XSxSENTINEL Monitoring
Infrastructure telemetry and anomalous-usage detection applied to the AI node — unusual query volumes, unauthorized access attempts, or data-exfiltration patterns trigger the same response playbook as the rest of your stack.
N1Vulnerability & Patch Management
NinjaOne discovers and remediates OS and dependency weaknesses on the AI host before they're exploited — same cadence, same reporting as every other managed endpoint.
VMImmutable Offsite Recovery
Veeam backups of your model weights, fine-tuning data, and RAG vector store — immutable and offsite, so ransomware can't touch them and recovery is tested, not promised.
06 / THE BUSINESS CASE

From shadow IT to shadow pricing.

Cloud API model
Xaccel Managed Private AI
Per-token billing that scales unpredictably
Fixed monthly operating cost — hardware amortized into your managed services agreement
Data leaves your perimeter on every request
Data never leaves the building — no DPA required with a third-party AI vendor
No audit trail of who asked what
Complete prompt/response logging for compliance and e-discovery
Another vendor relationship to manage
One accountable team — the same engineers who already run your stack
07 / WHO THIS IS FOR

If your data can't leave the building, neither should your prompts.

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Healthcare

PHI stays on your network. Clinical documentation and coding assistance run behind your firewall — not through someone else's API.

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Finance

Model risk, AML research, and client document analysis without crossing into a cloud API your regulators haven't approved.

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Legal

Privileged work product and discovery drafts stay privileged — processed on hardware inside your own perimeter.

Government & Defense

Air-gap capable deployments, designed with CJIS and ITAR-minded requirements from day one.

Professional Services

Client contracts, SOWs, and sensitive communications analyzed without training a public model on your margins.

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Yours

If your industry has rules about where data lives, this was built for you. Ask us — the assessment is free.

DA

Demirari AI is the engineering partner behind our hardware and model-customization stack. For organizations that want to own the infrastructure outright, we design and deliver custom AI systems through demirari.com. For everyone else, Xaccel runs it — so you don't have to.

START / ASSESSMENT

See if Managed Private AI fits your stack — in 30 minutes.

A free, no-obligation consultation with a senior engineer. We'll review your current AI usage (official and shadow), your compliance requirements, and your workload — then hand you a written architecture recommendation whether you hire us or not.

30-min consultationWritten architecture planNo obligation