๐Ÿ”’ Private ยท Fine-tuned ยท Owned by you

AI that knows your business.
Runs on your hardware.

Custom fine-tuned language models for MSPs, law firms, and businesses that need AI without the data exposure. Trained on your procedures. Deployed on your infrastructure. Yours to keep.

Built for businesses that can't afford to leak their data

Not another ChatGPT wrapper.

Most "AI for business" tools upload your documents to OpenAI's servers and search them at runtime. That's a compliance problem, not a solution. Here's what's different.

๐Ÿ”’

Private by default

Your data never leaves your network. Not during training. Not during use. The model runs on your hardware, behind your firewall, under your control.

๐ŸŽฏ

Trained on your world

The model learns your procedures, your clients, your escalation paths during training โ€” not generic internet data. It answers like one of your team, not like Google.

๐Ÿ’Ž

You own the asset

Not a subscription you rent. It's your model, permanently, on your infrastructure. Cancel anytime and keep everything. No vendor lock-in, no per-user fees.

Wrapper vs. fine-tuned model

They look the same in a demo. They are not the same product.

ChatGPT wrapper / Copilot
Your data visits OpenAI every query
  • Data uploaded to third-party servers
  • Generic answers from internet knowledge
  • Monthly per-user subscriptions forever
  • Vendor changes = your tool changes
  • Requires internet connection
  • Doesn't know your clients or systems
Pariox fine-tuned model
Your data stays on your hardware
  • Zero data leaves your network
  • Trained on your actual workflows
  • One-time build fee, you own it
  • No vendor dependency
  • Works completely offline
  • Knows your clients, systems, shorthand

From your data to working AI in 2โ€“3 weeks

A simple, transparent process. Same methodology used by enterprise consulting firms that charge 10โ€“50ร— more.

1

You send your data

Ticket history, documentation, standard procedures โ€” exported from your ticketing system. Transferred via encrypted channel. Never touches a third-party server.

2

I fine-tune the model

Using LoRA/QLoRA methodology on a local GPU. The model learns your specific workflows, terminology, and escalation logic. Training stays on my machine โ€” nothing uploaded.

3

You deploy on your hardware

Full delivery of model weights, inference scripts, and deployment documentation. Runs on your server or workstation. All my copies of your data deleted in writing.

Businesses with knowledge worth protecting

If you have internal procedures your staff reference every day, and clients whose data can't leave your network, you're the target.

๐Ÿ–ฅ๏ธ
MSPs
Tier 1 ticket deflection, knowledge retention
โš–๏ธ
Law firms
Case file Q&A, clause references
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Accounting
Client intake, tax code lookup
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Property mgmt
Lease clauses, maintenance triage

Transparent. Flat-rate. You own it.

No seat-based pricing. No per-query fees. No vendor lock-in.

Custom Fine-Tuned Model
$1,500 build
+ $300/month optional retainer for retraining & support
  • Custom model trained on your data
  • LoRA/QLoRA fine-tuning on 500โ€“2,000 examples
  • Deployment on your hardware
  • Full delivery: weights, scripts, documentation
  • 2โ€“3 week timeline from kickoff
  • 50% deposit, 50% on delivery
  • No long-term contracts โ€” you own everything
Start a conversation โ†’

The best proof is a live demo.

Try a working fine-tuned helpdesk model right now. Ask it any IT support question and see what "trained on domain data" actually looks like.

Launch live demo โ†’