Applied intelligence helps manufacturers stay ahead of competitors, minimise breakdowns, and adapt to changing demand.
Trusted by 100+ businesses and AI-native startups
Digitize production management so routine work stops depending on someone remembering. Paperless manufacturing, where the record of what was made exists before anyone asks for it.
Use cases
08From raw material purchase to work in progress to delivery, without the stock position living in one person's spreadsheet.
Use cases
08What happens to a unit after it ships is usually the least recorded part of the business, and the part customers ask about most.
Use cases
06Job-level cost visibility while the job is still running, rather than a margin number that arrives after the quarter closes.
Use cases
05Reporting produced from the records the plant already creates, and systems connected so a number entered once appears everywhere it is needed.
Use cases
06Reads supplier replies, matches them to open orders, chases what is late, and escalates the exceptions a buyer actually needs to see.
Reads delivery notes and invoices on arrival, matches them against the purchase order, and flags discrepancies at the gate rather than at month end.
Turns an enquiry into a costed quote using past jobs as the reference, and raises the order once it is accepted. Anything outside the pattern goes to a human.
Rebuilds the schedule when a machine goes down or material arrives late, respecting capacity, labour and the orders already committed.
Takes a fault alert, checks the asset history, raises the work order and orders the part. Safety-related faults go straight to a person.
Assembles the evidence pack for an audit or regulatory return from the records the plant already creates, and names what is missing.
Notifies the customer when a job hits a milestone or slips, triggered from production events rather than someone remembering to send an email.
Answers an operator's question from the drawings, manuals and past jobs, with citations that resolve to the source document.
Checks that the revision on the floor is the current one, and flags where an out-of-date drawing is still in use.
Real results from manufacturers using AI for predictive maintenance and quality control.
95%
Prediction Accuracy
50%
Less Downtime
65%
Support Tickets Automated
50%
Faster Exception Resolution
12-month
Roadmap With Real Cost Estimates
8 weeks
Delivery, Single Consultant
2x
handling inspection
Single
Platform for the Whole Operation
AI systems in production today, described by the teams operating them
Jack Abraham
Co-Founder, Exowatt
Their engineer asked sharp questions about how our thermal systems behave. When you promise a data centre round-the-clock power, a degrading battery isn't something you want to find out about from the output graph. Pinnasys trained models on our lens-tracking, heat and battery telemetry to catch it earlier.
Every build follows the practices these frameworks require: data protection, access control, model governance, and audit-ready logging from day one.
SOC 2 Type II
Security, availability and confidentiality controls
ISO 9001
Quality management systems
ISO 27001
Information security management
ISO 42001
AI management systems
GDPR
Data protection and privacy by design
NDA and IP assignment
Your models, data and code stay yours
Data Residency
Hosted in the region you choose
A focused set of services, each built around a governance-first approach and calibrated to your operations, stack, and risk tolerance.
Before anything gets built, we find where software and AI actually pay back in your operation, and tell you what to start with. You leave with a costed roadmap you own, including the honest answer if a simpler fix would serve you better.
We build what off-the-shelf software does not cover, from a single workflow to a system running across every site. Delivered in stages, each measured against a baseline before the next one starts.
We connect your ERP, MES, finance and field systems so a number entered once appears everywhere it is needed. Your existing software keeps working. It just stops being an island.
Legacy systems that still run the plant and that nobody wants to touch. We migrate them where that makes sense, and re-engineer them in place where it does not, without stopping production to do it.
We run the systems already live in your business, whether we built them or someone else did. Monthly reporting against the KPIs you agreed, and a named owner when something misbehaves at 2am.
From AI readiness to predictive maintenance examples, our practical guides cover everything you need to know before deploying intelligence.
The most common questions manufacturing businesses ask us while building and deploying AI in manufacturing operations.