Services

Applied AI

AI that takes real work off your team’s plate, on hardware you or we control. We run it in our own business before we recommend it, and we ship the software to prove it.

Server rack in monoline with a closed work loop passing an amber checkpoint

What We Run In Production

Before any of this is offered to a client, it runs our own business.

Microsoft 365 Administration with Guardrails

Our Microsoft 365 administration runs through an AI-assisted layer with guardrails that refuse unsafe actions, like touching a privileged account or escalating a permission. It has refused unsafe requests during live work and was not overridden.

Ticket Triage

Every ticket into our service desk gets an AI analysis on arrival. Spam is closed automatically and duplicate alerts are merged. Autonomy is raised one step at a time, and only after each step proves itself under real load.

Review Agents on Endpoints

AI review agents on managed workstations audit configuration and report problems, including in our own scripts. The first audit found defects we had shipped. That is the point.

Self-Hosted Models

Our models run on our own GPU hardware. No third-party provider in the loop, no per-query cost, and your data stays in the environment unless you choose otherwise.

Software We Have Shipped

Public, reviewed, and in use by people who are not our clients.

StrifeBridge MCP

A WordPress plugin on the official plugin directory that lets ChatGPT, Claude or Gemini manage a site through the Model Context Protocol, with an activity log, Safe Mode and OAuth. Three independent security audit rounds.

First Resort

An iOS app on the App Store with a fine-tuned model that runs entirely on the device. No account, no network, no data leaves the phone. The model is published openly.

ContextEngine

An npm package that gives AI coding tools persistent context about a codebase. Open source and security-audited.

What We Build for You

Start with the work your team repeats every week. We build the AI around it.

Automation with Guardrails

  • Agentic workflows that take multi-step actions, with guardrails around each one
  • Request and email triage that frees up your team
  • Document analysis, extraction and summarization
  • Knowledge assistants grounded in your own documents, not the open internet

Private and Edge AI

  • Self-hosted models on your infrastructure or ours
  • On-device models where data cannot leave the device at all
  • Real-time inference at the edge with no cloud dependency
  • Privacy and data residency requirements met by design

Integration

  • MCP servers that connect ChatGPT, Claude and Gemini to your systems, with access you control
  • Operational dashboards fed from live data
  • AI vision and image analysis in the workflows you already have

Custom Applications

  • iOS apps in SwiftUI, from design to the App Store
  • Web dashboards and backend APIs, self-hosted or cloud
  • The AI layer that connects them, built for production
  • Ongoing maintenance and new features

How We Approach It

We do not start from a model. We start from the work: what is repeated, what is slow, and what must never go wrong. Guardrails come first, then the automation is built to run inside them, and autonomy is raised one step at a time as each step proves itself. A system that knows when to stop is worth more than one that will do anything.

Tell us what is repeated.

Describe the work your team does the same way every week. We will tell you what can be automated safely, what should stay with a person, and what it would take.