Tribal knowledge is running your plant. Let's make it infrastructure.
Your best estimator is a bottleneck. Your drawings archive is a black hole. Your Friday reports eat a supervisor's afternoon. We've fixed exactly this, for a manufacturer like you, in 90 days.
Infinite AI OS: an AI operating system in 90 days.
A private manufacturing group came to us with estimating, quoting, reporting, and file search all running on manual effort. Ninety days later: four named AI employees working in Microsoft Teams (a manager and three specialists), standing on a six-layer system: company memory, a knowledge map, file intake, employee profiles, tool connectors, and observability. Three core systems in production, every consequential action approved by a human.
What this looks like on an ordinary Monday.
- A quote request lands. Your AI estimator drafts it from past jobs and current material costs, cites every source, and flags the two line items where costs changed since the last similar job. Your senior estimator reviews the assumptions and catches what matters because the source work is already assembled. Their name remains on the quote, and their judgment sets the standard.
- AI FLAGGED · 2 LINE ITEMS MOVED
- ESTIMATOR CAUGHT · WHAT MATTERED
- APPROVED · THEIR NAME ON THE QUOTE
- A floor supervisor asks Teams where the rev-C drawing for a 2019 job lives. The answer arrives with the file, in seconds, with the change history.
- The weekly ops report assembles itself from your ERP and job tracker. Your supervisor reviews it over coffee instead of building it after dinner.
Process data that never leaves the building.
For manufacturers with sensitive process knowledge, we run suitable open models on hardware you own. This can provide a predictable monthly cost and keep process data inside the building.
HOW WE HANDLE YOUR DATA >Show this page to your estimator.
If they dislike the idea, we want to understand why. They know details about your quoting logic that an assessment may miss. Skills authoring starts with them, and their name stays on the output. The system handles preparation while they retain the judgment call.
Bring us one painful workflow.
In a 30-minute working session, we will sketch the workflow, likely architecture, and cost curve. If AI is unlikely to pay there yet, we will recommend no further work.