AI-native manufacturing, from the shop floor up.

Quality, supply chain, and plant operations, rebuilt around AI, not bolted onto it.

THE ADOPTION PICTURE

90% of industrial products companies have an AI strategy. 20% say it's actually embedded.

That gap is where scrap rate, changeover time, and your best quality engineers' hours are quietly leaking. A strategy on paper doesn't catch what an embedded one does.

of frontline leaders have AI integrated into daily operations

of frontline workers have AI integrated into daily operations, per manufacturing HR and operations leaders

70-pt

gap between claiming an AI strategy and actually embedding one

WHERE THIS FITS

Three ways in. Start with the one that matches where you are.

01NEURONY WIRE

8D reports in ten minutes, not forty-five.

Agents draft corrective action reports and non-conformance documentation straight from your inspection notes, running on Claude, so your quality engineers spend their time on root cause instead of retyping it into a template.

SYSTEMS: Runs alongside your QMS, Ideagen, MasterControl, whatever you already use for CAPA and audit trail.

See more about Wire →

02FORWARD-DEPLOYED ENGINEERS

The SIOP cycle, from two weeks to real time.

An embedded pod rebuilds your sales, inventory, and operations planning cycle end to end, pulling live data out of your ERP and supplier EDI feeds instead of reconciling it by hand every month.

SYSTEMS: Wired into your ERP, SAP, Oracle, Epicor, whatever runs your plant's numbers.

See more about the FDE model →

03NEURONY CORE

One access layer, every plant, whatever ERP each one runs.

A Core engagement builds a governed layer that lets production, quality, and maintenance data move across every facility, regardless of which system sits underneath, so a multi-plant operation stops running as five separate companies.

SYSTEMS: Sits above your existing ERP and MES instances at every site, replaces neither.

See more about Core →

PROOF

One engagement, told progressively. Swipe through.