Xari · AI Solutions

AI-native applications, engineered to run where your data lives.

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.

Cloud, local or hybrid models Connected to your systems Secure by design

What We Do

AI connected to the systems you already run.

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.

Connect AI to your systemsAI agents connected to your CRM, ERP, databases and documents through MCP (Model Context Protocol) and secure APIs.
Agents and workflowsAI that handles real tasks: answering from your documents, drafting reports, triaging requests and updating records.
Cloud, local or hybridAI-native apps powered by cloud and local models, deployed on Azure, on your own servers, or a mix of both, so data stays where it has to. Private AI, below, is our deepest version of this.
TrainingHands-on workshops so your team can build and use AI tools safely.

How It Works

From use case to production in three steps.

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.

Build

A working prototype in weeks, connected to your systems and secure by design.

Deploy and hand off

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

Private AI: your data, your models, your servers.

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

Your most valuable asset is locked in a database nobody can ask.

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.

Your data leaves your control

Uploading contracts, cost data or patient records to a public AI service is a risk most companies simply can't accept.

It doesn't know your business

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.

It can't predict anything

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

One private AI system. Four capabilities.

We build AI trained on your history and connected to your live systems, deployed entirely inside your walls.

Ask your data

Anyone on your team asks questions in plain English and gets answers — with sources — from your own documents and databases.

Which subs were late on more than two jobs last year, and why?

Early warnings

Models trained on your past projects score every active job, route or account nightly and flag the ones drifting off track.

Mesa Retail is trending 14% over budget. Main drivers: summer start and crew history.

Forecasting

Estimates costs, volume, demand and cash flow from your own trends and seasonality — grounded in your real history.

Q1 fuel cost will likely rise 6–9% based on the last 8 years.

Your company's voice

AI that writes reports, bids and summaries the way your best people do — using your terms and your formats.

Daily field reports that read like your top superintendent wrote them.

Every prediction comes with the reasons behind it, so your managers know exactly what to fix — not just that something is wrong.

Industries

Built for data-heavy businesses that can't afford a leak.

Construction

You have thousands of past bids, change orders and job-cost reports. We turn them into early warnings.

  • Predict cost overruns and schedule slips before they happen
  • Find which crews, subs, project types and seasons cost you margin
  • Tighten future bids with estimates grounded in your real history

Logistics & delivery

You have years of routes, stops, fuel, vehicles and driver data. We find where the money leaks.

  • Forecast volume and staffing needs by season and route
  • Flag unusual fuel, maintenance or overtime patterns early
  • Spot the routes and vehicles quietly eating your margin

Healthcare

Your data is the most sensitive of all — our systems never send it anywhere.

  • Staff and schedule ahead of patient demand
  • Search policies, procedures and records instantly, with access controls
  • Surface billing anomalies and denied-claim patterns

Also a fit: manufacturing, legal, property management, field services — and any company with 5+ years of operational data.

Data Sovereignty

Your data — and everything the AI learns — stays inside your walls.

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.

Your data and the models trained on it stay inside your own infrastructure; your team queries the private AI and the answers stay inside; no data is ever sent to a third-party AI service. YOUR INFRASTRUCTURE — ON-PREM OR YOUR PRIVATE CLOUD Your data docs · ERP · records Private models trained on your data Private AI ask · predict · forecast Your team asks in plain English Third-party AI OpenAI · Google Anthropic Q · A stay inside never leaves
→ stays inside your boundary ✕ nothing goes to a third-party AI

Security & Privacy

Your data stays yours. Period.

Runs where you chooseOn your own servers, fully air-gapped if needed, or inside your own Azure or AWS account.
No third-party AI servicesYour data is never sent to OpenAI, Google, Anthropic or any outside provider.
You own everythingThe trained models, the data pipelines and the system all belong to you.
Permission-awareConnects to your existing sign-in (Microsoft Entra / Active Directory). A warehouse lead never sees payroll.
Full audit trailEvery question, answer and source is logged for compliance review.
Healthcare-readyDesigned for HIPAA environments, with encryption, access controls and full audit logging.

Packages

Start small. Prove it. Then scale.

Pilot

One use case built and proven on your historical data — or a private assistant for one team — with accuracy measured before launch.

Full Deployment

Company-wide rollout: multiple models, dashboards, alerts and sign-in integration, on your hardware or private cloud.

Ongoing Partnership

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

Editorial Archive AI

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
The Rialta editorial archive — a private AI layer over decades of cultural archives, running on local open-weight models.
Rialta's editorial archive — private AI over decades of content, on the client's own boundary.

FAQ

The questions owners and CFOs actually ask.

Does our data ever leave our building?

No. Everything runs on your servers or in your own private cloud account. No data is sent to outside AI companies.

Our data is messy. Is that a problem?

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.

How much data do we need?

For predictions, a few hundred completed projects, jobs or records with known outcomes is a good start. Years of history is even better.

We don't know exactly what questions to ask. Can you still help?

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.

How accurate are the predictions?

We measure it before launch. We test on your past results and show you exactly how many real problems the system would have caught.

Will this replace our people?

No. It gives your managers early warnings and instant answers. Your people still make the decisions.

What hardware do we need?

It depends on size. Small teams can start on a single powerful workstation; we recommend exact specs during the assessment.

Who owns the models?

You do. The trained models, code and data pipelines are yours.

What happens as our business changes?

Our ongoing partnership keeps your models retrained on your newest data, so accuracy doesn't slip.

Let's talk

Talk about your AI project.

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 call

Cloud, on-premises or hybrid · Secure by design · You own what we build

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