Assess
We pick the use case, the data it needs and where the model should run: in the cloud, on your own servers, or both.
Xari · AI Solutions
We build apps and agents with AI at the core, powered by cloud or local models and deployed on Azure, on-premises or hybrid. Built by the engineers you talk to and tested like any production system.
What We Do
Not a chatbot bolted on. We design AI into the software itself, from a feature inside an app you already use to agents that work across your systems, and we pick the smallest thing that solves the problem.
How It Works
We pick the use case, the data it needs and where the model should run: in the cloud, on your own servers, or both.
A working prototype in weeks, connected to your systems and secure by design.
Production deployment on cloud, on-premises or hybrid, plus training so your team can run and extend it, with optional ongoing support.
Before go-live, we test against your own past data. You see how the system would have handled real cases from your history, so accuracy is proven, not promised.
Deep Dive: Local Models
When data can’t leave the building, the model comes to it. The rest of this page is our deepest offering: AI trained on years of your own data and deployed entirely inside your walls, on-premises or in your private cloud.
“The answers are already in your data. You just can't get to them.”
The Problem
You've spent 10, 20, 30 years building a business. Every project, delivery, invoice and record holds lessons about what works and what costs you money — but that knowledge is scattered across spreadsheets, ERPs and old email threads, and only a few senior people know how to read it. Public AI tools could help, but they come with a catch.
Uploading contracts, cost data or patient records to a public AI service is a risk most companies simply can't accept.
A generic chatbot has never seen your jobs, your crews, your routes or your margins. It can't reason about what it's never seen.
Chatting with documents won't tell you which project is about to blow its budget next month. That takes models trained on your history.
The Private AI System
We build AI trained on your history and connected to your live systems, deployed entirely inside your walls.
Anyone on your team asks questions in plain English and gets answers — with sources — from your own documents and databases.
Models trained on your past projects score every active job, route or account nightly and flag the ones drifting off track.
Estimates costs, volume, demand and cash flow from your own trends and seasonality — grounded in your real history.
AI that writes reports, bids and summaries the way your best people do — using your terms and your formats.
Every prediction comes with the reasons behind it, so your managers know exactly what to fix — not just that something is wrong.
Industries
You have thousands of past bids, change orders and job-cost reports. We turn them into early warnings.
You have years of routes, stops, fuel, vehicles and driver data. We find where the money leaks.
Your data is the most sensitive of all — our systems never send it anywhere.
Also a fit: manufacturing, legal, property management, field services — and any company with 5+ years of operational data.
Data Sovereignty
Your documents and the models trained on them live inside your own infrastructure. Your team queries the AI and the answers come back — but nothing crosses the boundary to an outside AI service. Ever.
Security & Privacy
Packages
We connect to your data, interview leadership, and hand you an opportunity report with your top five money leaks and what we can predict.
One use case built and proven on your historical data — or a private assistant for one team — with accuracy measured before launch.
Company-wide rollout: multiple models, dashboards, alerts and sign-in integration, on your hardware or private cloud.
Data refresh, model retraining, upgrades to newer AI models, support, and new use cases as your business grows.
Every engagement starts with a Data Assessment — and it's credited toward your pilot. Hardware is purchased by you and stays yours: we specify it, set it up and support it, or deploy into your existing private cloud. Pricing is scoped to your data and shared on the call.
Proof — in production
For Rialta, we built a private AI layer over decades of cultural archives — search, cited answers and editorial tooling — running on local, open-weight models inside the client's own boundary. The through-line is the same one that runs through this page: who owns what it learns.
Read the case study
FAQ
No. Everything runs on your servers or in your own private cloud account. No data is sent to outside AI companies.
Every company's data is messy. Cleaning and organizing it is a normal part of our work, and we plan for it from day one.
For predictions, a few hundred completed projects, jobs or records with known outcomes is a good start. Years of history is even better.
Yes — that's what the Data Assessment is for. We find the opportunities in your data and show you what's possible before you commit to a build.
We measure it before launch. We test on your past results and show you exactly how many real problems the system would have caught.
No. It gives your managers early warnings and instant answers. Your people still make the decisions.
It depends on size. Small teams can start on a single powerful workstation; we recommend exact specs during the assessment.
You do. The trained models, code and data pipelines are yours.
Our ongoing partnership keeps your models retrained on your newest data, so accuracy doesn't slip.
Let's talk
Tell us the use case, the systems it has to touch and where your data lives. A senior engineer will tell you what’s realistic, and what it would take. No pitch deck, no pressure.
Talk about your AI project Book a 30-minute callCloud, on-premises or hybrid · Secure by design · You own what we build