Quotes that take a week, production data trapped in spreadsheets, thirty years of know-how walking out the door at retirement. We build AI that fixes those specific problems — integrated with your ERP, proven on your floor — and our team has shipped industrial-scale AI that's still running today.
Your best estimator knows the real cost of a part by looking at it. Your senior maintenance tech hears a bearing going before any sensor does. But quoting still takes days, downtime findings live in notebooks, and when those people retire, the knowledge leaves with them.
We turn that expertise into systems — quote automation, live production visibility, searchable maintenance knowledge — that the next shift can actually use.
Where AI Helps First
RFQ packets read, specs extracted, and draft quotes assembled from your actual cost history — so estimating answers in hours while competitors take a week.
PO confirmations, delivery-date chasing, and order-status replies handled automatically, with exceptions routed to purchasing before they become line-down surprises.
Live production data in one view instead of Friday's spreadsheet — and the troubleshooting knowledge in your senior operators' heads captured before they retire with it.
What We Do
We walk your value stream — quoting, scheduling, production, maintenance, shipping — and identify where AI moves a number you already track: quote turnaround, OEE, on-time delivery, scrap. ROI gets modeled on your figures, not industry averages.
Time on the floor and in the front office, tracing how information actually travels: the RFQ inbox, the traveler, the whiteboard, the ERP. The output is a ranked automation plan your plant manager will recognize as real.
Quote drafting from RFQ packets, production-data dashboards, maintenance knowledge bases, supplier follow-up automation — integrated with the ERP that runs your plant, whether that's SAP, NetSuite, Epicor, or something older, and owned by you.
Your routings, tolerances, and pricing logic are trade secrets. Everything we build runs under your access controls, and none of your process data ever feeds a public model.
Why HummingAgent
At Comcast Labs, our founders built vision systems that identify hardware from a photo of its faceplate and verify field installations — deployed across 1,600 data centers, used by 40,000 technicians, still running. That's the bar we hold plant-floor AI to: it has to work on a Tuesday at 6 a.m., not just in the conference room.
See customer resultsFAQ
The useful version of the job is translation: taking what your estimators, schedulers, and maintenance leads do by hand and turning the procedural parts into systems tied to your ERP. We run the assessment, then build what it recommends — quoting automation, production dashboards, knowledge capture — with the same engineers on both halves of the engagement.
Yes. At Comcast Labs our founders delivered computer-vision and automation tooling used across 1,600 facilities and a 40,000-technician field force, and it remains in production today. Plants are unforgiving environments for software; we learned that lesson at comparable scale before bringing it to manufacturers.
Quoting is one of the strongest fits in manufacturing. Most of an estimator's day goes to reading RFQ packets, finding the right drawing, and looking up what similar parts cost last time — pattern work AI handles well. The estimator stays in the loop for sanity checks and pricing strategy; turnaround drops from days to hours, and the faster quote wins work.
Yes. Routings, tolerances, cost structures, and supplier terms stay inside your environment under your access rules. We deploy privately, we document exactly what the system can see, and nothing you run through it trains a public model.
Scope in manufacturing tracks integration depth: reading RFQs out of an inbox is a smaller build than writing schedules back into SAP or Epicor. The audit is fixed-price after discovery, and builds are quoted per workflow. Our AI pricing guide lists typical ranges by project type.
We fit the plant's calendar: pilots land in whatever window your production schedule allows, and nothing goes live mid-shift without a fallback. A front-office workflow like quote drafting can prove itself quickly; floor-connected builds follow once ERP and data access are sorted out.
Bring your longest quote turnaround or your worst visibility gap to one conversation. We'll size the payback, name the integration points, and describe the first build.
Plan your AI workflow