AI that does real work in your business.

What we do

AI strategy and readiness

We review your workflows, data and tools, then rank where AI will save time or money. You get a costed roadmap, not a slide deck about the future.

Agents and automation

Assistants that answer customers, read documents and move work between your systems, with a person approving the steps that matter.

Data foundations

Pipelines and a single source of truth, so AI works from the same numbers your team already trusts.

AI-native products

New web, mobile and desktop products designed around AI from day one, built in TypeScript, React, React Native and Python.

Team enablement

Hands-on training and playbooks, so your staff use the tools well and know where they fall short.

Run and govern

Monitoring, evaluation, cost tracking and guardrails after launch, so the system stays accurate as your business changes.

Selected work

• Support agent AI chat assistant for a field services company. Answers customers around the clock and hands off to a person when it should. AI agent
• Report engine Automates the quarterly industry report an advisory firm’s analysts used to assemble by hand. Automation
• Statement reader Pulls the figures out of financial statements and lines them up for analysis, replacing manual data entry. Document AI
• Grant writer Finds grants that fit a nonprofit and drafts the proposal with them, section by section. AI product
• Dispatch map Live map of every open field job, fed straight from the team’s existing boards. Operations
• City guide Travel app for iOS and Android with maps, audio tours and an AI trip planner. AI product

How to start

1. AI assessment

   2 weeks

   We interview your team, map how work actually flows, and pick the three places where AI will pay off first.

2. Pilot

   6 to 8 weeks

   One use case, built and tested with your real data and real users. We agree on the number that defines success before we start.

3. Scale

   Ongoing

   We roll out what worked, retire what didn’t, and train your people to run it. Stay with us on a monthly plan, or take it in-house.

Our ground rules

People stay in control

AI drafts, sorts and suggests. Decisions that affect customers or money go to a person.

Your data stays yours

We build in your cloud accounts, and nothing is used to train someone else’s model.

Measured, not guessed

Every system ships with a way to check its accuracy and its cost, so you know whether it’s working.

No lock-in

You own the code, the prompts and the documentation. Switching models or vendors later is a change, not a rebuild.