Manufacturing Flow exists because AI shouldn't require a computer science degree to use — especially not on a production floor.
Founder & CEO, Manufacturing Flow
Jared doesn't just consult on manufacturing — he runs it. As operations leader at Ad Hoc Electronics, he manages production floors across both domestic and international manufacturing facilities. This isn't theoretical knowledge from a textbook; it's daily experience with the same challenges his clients face: tribal knowledge walking out the door, undocumented processes, machines generating data that nobody uses.
That operational experience led him to build MomentTrack, a production visibility platform serving hundreds of manufacturers across multiple industries. The patterns he saw across diverse production environments — the same knowledge gaps, the same documentation failures, the same wasted machine data — became the foundation for Manufacturing Flow.
Manufacturing Flow is the bridge between what AI can do and what manufacturers actually need. Jared's approach is different because he's lived on both sides: he knows what it's like to run a second shift with a new operator who can't find the setup procedure, and he knows how to build an AI system that solves that problem in 30 seconds.
After working with hundreds of manufacturers through MomentTrack, a pattern became impossible to ignore: the biggest bottleneck in manufacturing isn't equipment, materials, or even labor — it's knowledge transfer.
Every manufacturer Jared worked with had the same problems. Their best operators had decades of knowledge that existed nowhere except in their heads. Their SOPs were outdated or didn't exist. Their machines were generating millions of data points that nobody was using. And the AI revolution was happening all around them, but nobody was showing them how to use it for their specific challenges.
Manufacturing Flow was built to fix this. Phase 1 teaches manufacturing teams to use AI tools (ChatGPT, Claude, Gemini) for the problems they actually have: capturing tribal knowledge before it retires, automating SOP creation, building custom AI assistants for their equipment. Phase 2 connects their physical operations to AI through IIoT sensors, cameras, and predictive maintenance systems.
The result: manufacturers who can capture institutional knowledge in weeks instead of years, create documentation 10x faster, and make data-driven decisions from machines that used to run blind.
AI Training + IIoT Deployment
8-week AI training programs and IIoT sensor deployment for manufacturers. Teaching teams to use ChatGPT, Claude, and Gemini for tribal knowledge capture, SOP automation, and data-driven decisions.
Production Visibility Platform
Real-time production tracking, analytics, and visibility across manufacturing operations. Serving hundreds of manufacturers with 5 patents in manufacturing analytics.
Contract Manufacturing
Active operations leadership across domestic and international manufacturing facilities. This is where Manufacturing Flow's methodology gets tested daily in real production environments.
We don't teach AI concepts in a classroom. We teach your team to solve their actual problems — the SOP that doesn't exist, the setup procedure that only one person knows, the machine data that nobody's using. Every exercise uses your real manufacturing challenges.
Your machines generate millions of data points. Vibration, temperature, pressure, throughput — none of it matters unless AI can interpret it, predict failures, and recommend actions. Phase 2 exists because connecting machines to AI is where the real transformation happens.
10,000 baby boomers retire every day. Each one takes decades of process knowledge. AI-powered knowledge capture isn't a nice-to-have — it's an emergency. We treat it that way, and so should you.
Whether you're starting with AI training or ready for full IIoT sensor deployment, let's talk about what makes sense for your operation.