Private AI, built and kept in house.

Gephyra Systems is an AI integration firm. We build AI agents and run language models on your own hardware, so your data never leaves the building. Then we stay and keep them running.

Platforms we deploy on No reseller arrangements. Chosen per deployment.
  • NVIDIA
  • AMD
  • Raspberry Pi
  • Dell
  • HP
  • AWS
  • Oracle
  • OpenAI
  • Anthropic
  • Claude
  • Hermes Agent
  • OpenClaw
FIG. 01 The gap

Most AI pilots die in the demo.

A model that answers questions in a conference room is not a system your business can run on. The model was never the hard part.

The hard part is the integration, the data, the workflow, and the person who answers the phone when it breaks.

That is the part we do.

FIG. 02 What we do

Four ways we work with you

Every engagement is scoped to a workflow that already costs you time or money. Nothing is built on speculation.

01

AI agent design and build

Agents that read documents, answer questions, move data between systems, and finish multi-step tasks. Built against your actual workflow, then tested against real cases before handover.

02

Local and on-premises LLM deployment

Language models installed on your hardware or private cloud. No per-query fees to an outside provider, no third party reading your data, no dependence on an internet connection.

03

AI strategy consulting and roadmaps

Where AI fits in your business, what it will cost, and what to build first. Delivered as a written roadmap with sequencing and budget, not a slide deck.

04

Ongoing support and managed AI operations

Model updates, monitoring, prompt and agent tuning, and a named point of contact. Delivered on a monthly subscription, so the system keeps working after the project ends.

FIG. 03 In practice

What this actually looks like

  • 01 An assistant that answers questions from your contracts, manuals, and past project files, and cites the source document for every answer.
  • 02 A model that reads incoming invoices and purchase orders and enters them into your accounting system without a person retyping them.
  • 03 A quoting agent that drafts proposals from your pricing rules, labor rates, and job history, ready for a human to review.
  • 04 A support agent that triages incoming tickets, drafts replies, and routes anything uncertain to a person.
  • 05 Search and transcription across recorded meetings, site visits, and phone calls, running entirely on your own hardware.
FIG. 04 How we work

From assessment to operations

Four stages. Each one produces something you own, and each one can be stopped at without wasting the last.

2–3 weeks · fixed fee

01 — Diagnostic

We map where AI fits, what it will cost, and what to build first. You get a written roadmap you can act on with or without us.

30–90 days

02 — Paid pilot

One workflow, real data, real users, measured against a baseline we agree on up front. Not a demo.

Fixed scope

03 — Production build

The agent or model goes live. We handle the hardware, the network, the backups, and the monitoring, not only the software.

Monthly

04 — Managed operations

Updates, monitoring, tuning, and a named contact when something breaks. This is the stage most firms skip.

FIG. 05 Why Gephyra

Four things that are true

On-premises first

Local deployment is the default, not an upsell. If a model can run on your hardware, it should.

We stay after launch

Managed operations is a standing service line, not a favor. Most AI firms hand over a demo and disappear.

Fixed scope available

Productized packages with defined deliverables and a defined price, so you know the number before you commit.

Model-neutral

We are not tied to one model vendor. Claude, GPT, Gemini, or open-weight models running on your own hardware, whichever fits your constraints.

We can install it, not only configure it.

A background in security, access control, and systems integration means we rack the server, run the cable, mount the hardware, and come to the site. Most AI consultancies work remotely, and it shows the first time something breaks.

Gephyra is founder-led. The person who scopes your work is the person who does your work, with no handoff to a junior team.

FIG. 06 Who we serve

Small and mid-sized businesses, and mid-market teams with in-house IT

We work best with organizations that care where their data lives.

NOT CURRENTLY TAKING GOVERNMENT, HEALTHCARE,
OR OTHER REGULATED PROCUREMENT WORK.

  • 01You care where your data lives and who can see it.
  • 02You have been told AI is coming and want to know what it actually costs.
  • 03You have a workflow that is slow, manual, or expensive.
  • 04You have in-house IT and want a partner, not a replacement.
  • 05You want a defined scope and a number, not an open-ended retainer.
FIG. 07 Start

Start with a diagnostic.

Tell us the workflow that hurts. We will tell you whether AI is the right answer, what it would cost, and what we would build first. If it is not a fit, we will say so.

Response Within one business day.
First step A diagnostic, scoped and fixed-fee.
If it is not a fit We say so, and tell you why.