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AI integration · .NET · Private AI

AI that works inside the apps your people already use.

We build and fix the software your staff and customers use on phones, tablets, and the web, then connect it to your own data and a model that can do something useful with it. If you know you should be doing something with AI but aren't sure what, that's the usual place to start.

Intric Solutions logo Intric Solutions logo
50+healthcare clinics check patients in on our iPad app
20,000members on a wellness platform we build and run
2,000+police agencies have used Kanine, our K9 records software
2012the year we started shipping C# software

Services

One team for the app, the backend, and the AI in between.

On most projects we are the entire engineering team. That means one point of contact who understands the whole system, from the screen in someone's hand to the database behind it.

AI integration

We connect your data to a model like Claude or OpenAI and put the result where your people already work.

  • Plans, summaries, and recommendations written from your records
  • Plain-English questions answered from your business data
  • Apps and APIs your own AI tools can operate, including MCP

Private, on-premises AI

When patient or case data can't leave your building, the model can run inside it. We spec the hardware, choose the model, deploy it on site, and connect your apps to it.

.NET MAUI and Xamarin

Cross-platform apps for iOS, Android, and Windows from one C# codebase. We also move aging Xamarin apps to .NET MAUI, which we've done for a wellness platform and for the Texas Department of Public Safety.

Web, backend, and takeovers

Blazor, ASP.NET Core, Azure, and SQL Server. We often take over systems whose original developer has moved on, stop the weekly fires, and keep them running.

AI Pilot

See AI working on your data before you commit to a build.

A short engagement at a fixed price, scoped before we start. It's built for companies that know AI matters and want a clear first step, not a strategy deck.

  1. Review

    We look at the data you already have and the decisions your people make with it every day.

  2. Pick one use case

    We choose the one worth doing first: high value, low risk, and possible with the data you have today.

  3. Build it

    We build a working version on your real data and put it in front of the people who will use it.

You walk away with

  • A working prototype
  • What it costs to run
  • A plan for production
Ask about a pilot

Private AI

When the data can't leave the building, neither does the model.

Healthcare groups and public agencies often can't send records to a public AI service. For HIPAA and CJIS environments, a model running on your own hardware is frequently the only AI that gets approved.

Spec the hardware

Sized to the models and the load you actually need, not the biggest box on the list.

Pick the model

Open-weight models chosen and tested for your task.

Stand it up

Installed and running on site, with llama.cpp, vLLM, or Ollama.

Wire your apps

Your software talks to it the way it would talk to any AI service.

We run our own inference server with 96 GB of GPU memory and have deployed six to eight open-weight models on it for client work where the data had to stay private.

Selected work

Software people rely on every day.

Our clients' names stay private unless they're public agencies. The work speaks for itself.

Healthcare · since 2021

Patient check-in across 50+ clinics

An iPad app patients and nurses use for check-in, consent forms, and document signing, about 5,000 check-ins a day. We built a wait-time prediction dashboard and run the service that turns scanned PDFs into work orders.

Xamarin.Forms · Azure Functions · Cosmos DB · SQL Server · HIPAA

Wellness · since 2023

A wellness platform, rebuilt, now with AI

A web and mobile platform for self-insured employers with 15,000 to 25,000 active members. We rebuilt it from the ground up, moved the app to .NET MAUI, and are now building personal health plans written by Claude from each member's claims, labs, and biometrics.

.NET MAUI · ASP.NET Core · Azure · Claude API

Public safety · 2024–2025

Texas Department of Public Safety

We led the move from Xamarin to .NET MAUI for the Department's mobile apps and delivered the secure access portal that handles login to TXMAP, Texas's situational-awareness system, on iOS and Android.

.NET MAUI · iOS · Android · Mobile web · CJIS

Our product · Kanine Software

K9 records built for AI agents

Records software for police K9 handlers, used by more than 2,000 agencies. The rebuild, launching by January 2027, uses one MAUI and Blazor codebase, every screen can be operated by an AI agent, and passing tests turn into narrated tutorial videos automatically.

.NET MAUI · Blazor · Playwright · Claude Code · kaninesoftware.com

Who we work with

Teams that can't afford for the software to break.

  • Healthcare groups with patient-facing apps and HIPAA obligations
  • Wellness and benefits companies sitting on years of member data
  • Public safety agencies that need CJIS-compliant tools in the field
  • Businesses that run on Microsoft: .NET, Azure, and SQL Server

About

Founded by Lane Ives.

Intric Solutions is the consulting company of Lane Ives, a .NET engineer who has been shipping C# software since 2012 and building AI into it since 2023. Before that, Lane spent six years in the US Navy as a Fire Controlman working on AEGIS radar systems.

You work directly with the person building your software, on every call.

HIPAA certified · CJIS compliant · Held a DoD Secret clearance 2014–2024 · Full background at laneives.com

Contact

Tell us what you're working on.

A few lines is plenty: what the software does today, what you'd like it to do, and when you need it. We'll reply by email.