AI Development Services Without the Cloud Bill
Most AI development companies hand you software that lives on their cloud and bills you every month forever. We build the same things — assistants, agents, automations — then install them on a server you own. The code is yours, the data is yours, and the invoices stop the day we finish.
You wanted a tool, you got a subscription
You priced out the AI development companies. Every quote ends in a recurring per-seat or per-token bill, and your business data — contracts, customer records, internal docs — has to ship to a vendor's cloud before any of it works.
You wanted a tool that solves a problem once. What's on offer is a subscription with a privacy footnote. We build the tool instead, and hand you the keys.
Custom AI builds, owned outright
Chatbots, agents, RAG search over your documents, workflow automation — built with open models (Llama, Mistral, Qwen) so there is no per-token meter and no vendor lock.
Runs on your hardware
We deploy onto a server you own — we can build it too — so the model, the prompts and the data all stay in your building.
Plain stack, documented
Python-based, standard frameworks, no black box. You get the source, the runbook and a team in Texas who can change it later.
AI website development
AI-powered features for the sites you already run — on-site search, support assistants, lead qualification — wired to your private model, not a third-party API.
Rented build vs. owned build
| Before: rented AI development | After: TIS owned build | |
|---|---|---|
| Where it lives | Vendor cloud | Your server |
| Cost shape | Per seat / per token, forever | One-time build + optional support |
| Your data | Sent out, maybe retained | Stays in the building |
| The code | Theirs | Yours, documented |
| Who fixes it | Ticket queue | A Texas builder you call |
See the bigger picture on business AI automation, or pair this with workflow automation from the same build.
Custom AI built and installed across the Katy corridor
We scope projects in person and install on-site for businesses in Katy, Fulshear and out toward Brookshire — then leave you with the source and a runbook. The server it runs on we can build for you, and for one-off project scoping we hand off to our consulting team. See our Texas service areas.
AI development questions
What do "AI development services" actually include here?+
Scoping, building and installing custom AI — chatbots, agents, document and workflow automation — on hardware you own, plus training and optional support.
Do I have to use your cloud or pay per user?+
No. We build on open models that run locally, so there is no per-seat or per-token bill after the build.
Will I own the code?+
Yes. You get the source, documentation and a runbook. It is your software on your server.
Which models and frameworks do you use?+
Open models such as Llama, Mistral and Qwen with standard Python tooling, chosen per project so nothing is locked to one vendor.
Can you build AI features into our existing website?+
Yes — on-site search, support assistants and lead qualification wired to your private model instead of a public API.
Who maintains the system after install?+
You can — we hand over the source, documentation and a runbook, so your own team can keep it running and extend it. Many clients prefer to keep us on an optional support plan for updates, model refreshes and changes. Either way it stays a phone call to a Texas builder, not a ticket queue, and you are never locked in.
Do you train our team to use it?+
Yes. On-site handoff and training are part of the build — we sit with the people who will use it and walk them through running and adjusting it. For deeper, structured training programs we hand off to our consulting team's AI training for business.
Back to Business Automation · explore business AI automation · read the automation FAQ.
Our build process
We do not hand you a login and wish you luck. We spec it, hand-build it, burn it in, install it on-site, build the workflows, tune them against your real work, and hand it over with a runbook. Here is the path from first conversation to a system you own.
1. Spec
We sit with your team, map the actual work, and write down exactly what the build needs to do and what hardware it takes to do it.
2. Hand-build
We build the server to that spec — chosen parts, assembled and configured for your model and workload, not a generic box.
3. Burn-in
The machine is stress-tested before it ever ships, so faults surface here on our bench rather than later on your floor.
4. On-site install
We install it in your building across the Houston and Fort Bend area, on your network, where your data stays.
5. Workflow build
We build the actual automations, agents, chatbot or RAG pipeline on top of the installed stack.
6. Tuning
We tune retrieval, prompts and workflows against your real documents and real questions until the output is dependable.
7. Handoff
You get the source, documentation and a runbook, plus on-site training for the people who will use it.
8. Support
We stay a phone call away on an optional plan for updates and changes — you own it outright either way.
How we connect to your existing systems
A private AI build is only useful if it talks to the tools you already run. We do not ask you to replace your CRM, accounting package or file server — we wire the AI into them so data flows where it needs to. The usual connection points:
- Webhooks. Your existing apps notify the automation the instant something happens — a form submit, a status change — so a workflow can fire immediately.
- APIs. Most CRMs, accounting systems and SaaS tools expose an API we can read from and write to, so records update both directions without copy-paste.
- File shares. Watched folders and network drives let the system pick up documents to process and drop results back where your team expects them.
- Databases. When a tool has a database but no friendly API, we can connect to it directly under controlled, scoped access.
For the workflow orchestration that ties these together, we lean on self-hosted n8n, and for agents that act through these connections, see MCP and tool calling.
What we need from you to scope a project
Scoping goes faster when you can point us at the real work. None of this has to be polished — rough is fine. The more concrete it is, the tighter the quote.
- ✓ The task that hurts. The specific busywork you want gone, described as the steps a person does today.
- ✓ Sample documents or data. A handful of real (or realistic) invoices, forms, tickets or records so we can test against what you actually handle.
- ✓ The systems it touches. Which tools the work flows through — CRM, accounting, email, file server — and whether they have an API.
- ✓ Who uses it and how many. The people who will use the result, and roughly how many at once, so we size the hardware right.
- ✓ Constraints. Any privacy, compliance or on-premise requirements that shape the build from the start.
Tell us the busywork you want gone
We'll scope a private AI build that runs on a server you own — set up on-site in the Houston area. No per-seat pitch, no pressure.