Why most AI projects stall
About 95% of company AI pilots never reach real use. The tool never learns how the business works, and nobody stays to keep it running. We stay.
MIT NANDA, “The GenAI Divide”, 2025
Five ways we put AI to work
Train an AI on your business
We teach a model your products, your documents and the way you talk: a private model of your own, or one tuned on a provider's platform. It answers like your best employee.
First result: It answers your own team's top 20 questions correctly, in your voice, on your data.
Private AI on our servers
One of the ways we work: your AI runs on GPUs we own and operate, with your data kept apart from everyone else's.
First result: Your private assistant, live behind your own login.
AI that does the work
Agents that read your paperwork and enter it, sort documents, draft emails and update your systems, with a person approving.
First result: One real task in your business done end to end: a scanned ticket becomes a job, or a document is filed and its numbers pulled out.
AI built into your software
We add AI features to your website or app, or build the app around them, and we host and maintain it.
First result: A working feature, live on your site or app.
Your AI front desk
An assistant on your website that answers from your real information and hands the rest to you.
First result: Live on your site, answering from your own pages.
Your choice of AI
Three ways, by what your business needs.
A private model
Trained on your business and run on servers we look after, so your data stays with you.
The big models, through their APIs
OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini) and others, on your account or ours.
Or a mix
A private model for what is sensitive, a big model where it is strongest.
We help you choose by what the job needs: privacy, cost, speed, quality.
We already run it
On our own GPUs and our own software, every day.
And we build the rest
We make our own software too: twelve apps, each doing a job somebody was doing by hand. They're in beta, which means they work, they're still growing, and early users help shape them.
See the apps