Quoting, RFQs, ERP reconciliation, production scheduling. We build agents that read your spec sheets, talk to your systems, and put hours back into the day.
Most manufacturers we meet are running 30-year-old workflows on 6-month-old software. The pain is the same regardless of what you build.
Engineers pulled off real work to read RFQ PDFs, find similar past jobs, and rebuild quotes from scratch — every time.
Customer revisions live in email, redlines on PDFs, and someone's head. By production, three versions of the spec exist.
Inventory in the system, inventory in the rack, inventory in someone's WIP — three different numbers, every Friday.
The senior estimator retires next year and takes thirty years of 'this is how we price the tricky ones' with him.
Production schedule lives on a dry-erase board. One sick day from the scheduler and the floor goes quiet.
Owners and PMs answering customer status emails at 9pm because the data is locked in a system nobody else can pull from.
These are the patterns we keep hitting in shops your size. We start with one or two — never all six at once.
An agent reads incoming RFQ PDFs, pulls dimensions and tolerances, finds your three closest historical jobs, and drafts a quote with a confidence score. Estimator reviews and sends.
Nightly reconciliation between your ERP, warehouse floor counts, and outstanding POs. Discrepancies flagged with probable cause before the morning standup.
Reads work orders, machine capacity, and rush flags. Proposes a schedule, shows the conflicts, lets your scheduler approve or override. Whiteboard becomes a living document.
Customers email asking where their order is. The agent reads the email, looks up the job, drafts a status reply with the next milestone. PM approves with one click.
We feed your senior estimator's 30 years of judgment — historical quotes, win/loss, margin notes — into a co-pilot that helps the next generation price tricky jobs the way the senior would.
Every redline, email, and revision lands in one timeline tied to the job. Production always works from the latest approved spec, with full history.
We deploy AI the way your security team needs it — designed in from day one, not bolted on.
Built on Azure OpenAI, AWS Bedrock, or Google Cloud. Best for teams that want to move quickly and lean on the latest models without managing infrastructure.
Dedicated cloud infrastructure, single-tenant. Full audit logging, no cross-tenant exposure. The middle path most of our clients land on.
AI models running inside your own network on your own servers. Zero data transmission to third-party providers. The right call when data cannot leave the building.
Every consultant and engineer is based locally. No overseas handoffs, no time-zone scrambles.
We align every technical decision with the business goal underneath it. Then we build the right thing.
We tell you what we built, what it cost, what it saved, and what is genuinely uncertain. If something is not working, you hear it from us first.
Free assessment, custom roadmap, measurable results. We start small, prove it works, then expand.
We sit with your team for a week. Map every repeating task, rank by hours saved × probability of success. Includes a security and data-residency review. At no cost.
A custom plan around your top 3–5 use cases — clear timelines, costs, expected outcomes. You decide what to green-light.
We implement, train your team, and measure. By day 90 you have a working agent in production and a number on the wall showing what it saved.
Start with a free, no-pressure conversation about where AI can have the biggest impact for your team.
Free consultation · No obligation · Results in 90 days