Industry Manufacturing

AI for industrial operators running complex supply chains on legacy systems.

Most manufacturing floors run on a mix of ERP systems, spreadsheets, paper SOPs, and machines older than the engineers maintaining them. I build AI for that reality: supply-chain visibility that surfaces the signal before it's a shortage, operations and maintenance copilots that live where the work happens, and document intelligence that pulls the right spec out of a decade of PDFs — all wired into the systems you already run, tied to throughput, downtime, or cost from day one.

Floor-ready Built for where the work happens
Legacy-aware Wired into ERP & on-prem systems
1 KPI Attached before we build

Manufacturers don't lack data — they lack access to it. A supply-chain disruption sits in a supplier email nobody read. A maintenance fix lives in one technician's head. A spec that would've prevented a rework is buried in a PDF from three ERP migrations ago. The complexity isn't the process; it's the fact that nothing talks to anything else.

I build AI that reads across that mess instead of asking you to replace it. Retrieval and agents that sit on top of your ERP, your MES, your SharePoint, your paper archive — grounded in what your systems actually say, not a model's best guess.

Where AI moves the number

The highest-impact work on a factory floor is high-volume, deadline-driven, and expensive when it's late — exactly where a well-built agent earns its keep.

  • Supply-chain visibility — signal detection across suppliers, inventory, and logistics that flags a shortage or delay before it hits the line.
  • Ops & maintenance copilots — floor-level assistants that answer "what's this alarm, what's the fix" with the manual and the history behind the answer.
  • Document & SOP retrieval — spec sheets, work instructions, and compliance documents retrieved in seconds instead of hunted through folders.
On the factory floor, an AI system either moves throughput or downtime, or it doesn't get used a second time. I build systems that earn a second use.

Four places AI pays for itself on the floor.

Each one high-volume, deadline-driven, and tracked to a number.
01 / Supply Chain
Supply-chain intelligence
Signal detection across suppliers, inventory, and logistics data — surfacing a shortage or delay while there's still time to act on it.
02 / Operations
Ops & maintenance copilots
Floor-level assistants that pull the right manual page, fault history, or fix path — grounded in your equipment records, not general knowledge.
03 / Documents
Document & spec retrieval
Spec sheets, SOPs, and compliance documents made instantly searchable and source-cited, across every format they were ever filed in.
04 / Systems
Legacy integration
Connectors into ERP, MES, and on-prem systems that were never built to talk to AI — so the copilot works with what you actually run.
Supply chainPredictive signalsSOP retrievalLegacy integrationOn-prem optionAudit trails

From briefing to production, without ripping out your systems.

Fixed scope, fixed price, integrated with what you already run.
01Brief

Find the highest-impact use case

Supply-chain signal, a maintenance copilot, or document retrieval — we pick the one that moves throughput, downtime, or cost, and agree on the KPI up front.

02Architect

Design around your legacy systems

We map the ERP, MES, and document stores you already have and design the integration to work with them — fixed scope and price, no rip-and-replace.

03Build

Deploy into your environment

We build in sprints, deploy on-prem or in your cloud as the data requires, and harden it against real floor conditions and real network gaps.

04Measure

Prove the value on the line

We track the system against its KPI — throughput, downtime, or cost — and tune it against real shift data until the value clearly crosses the cost.

How I build it.

The services behind the manufacturing work.
Service / 07
Enterprise workflows
Multi-system orchestration across Salesforce, ServiceNow, SAP, and your custom APIs — finally talking, with an audit trail.
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Service / 01
Enterprise AI agents
Agentic workflows designed around your actual processes, not a demo — built, deployed, and tuned until they hold up in production.
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Service / 05
Knowledge systems
Your documents, wikis, tickets, and contracts turned into one queryable, source-cited system that finally answers back — with the receipts.
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Service / 06
Decision intelligence
Analytics, dashboards, and predictive models that drive real decisions — built by someone who spent 15 years attaching dollars to outcomes.
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Service / 03
AI infrastructure
Local model deployment and hardware builds for organizations that need their data to stay inside their walls. Nothing leaves the perimeter.
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Service / 08
Digital transformation
End-to-end process modernization — not a rip-and-replace. Every change tied to a number, so you know it worked.
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Let's talk about where AI moves a number on your line.

Supply-chain visibility, maintenance copilots, spec retrieval, legacy integration — if it's high-volume and it's costing you throughput or downtime, that's my kind of problem. I'll tell you what it's worth before we build it.

Let's talk

Markets served.

Remote-first across the United States and internationally — including these markets.

New York City, New York (NY)

Los Angeles, California (CA)

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Phoenix, Arizona (AZ)

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