News & Publications
Research findings, scientific papers, product announcements and field studies from the SynapSync LLC Research Division.
AI Without the Cloud: Why Your Production Data Never Has to Leave the Building
Almost every AI vendor assumes a cloud. For many manufacturers, that assumption is exactly why the topic stays untouched. This article explains why those concerns are justified — and why they are no reason to go without AI.
What Does Predictive Maintenance Actually Cost?
The honest answer up front: with us, entry runs at a fixed price, and the Predictive Maintenance module is a fixed price after scoping, delivered in 7 weeks. Why nobody can honestly quote a flat rate for the module itself — and how to spot the offers that pretend to.
Make or Buy: Build an AI Team or Commission It at a Fixed Price?
When does an in-house data science team pay off — and when is the fixed-price pilot the smarter path? The honest calculation, the three decision questions, and why the answer doesn't have to be either-or.
First AI Projects for SMEs: What Is Realistic — and What Is Not
Between 'AI revolutionizes everything' and 'not for us,' there is a realistic middle: four project types proven in mid-sized manufacturing, three that first projects regularly fail at — and four rules for the start.
Air-Gapped AI: How a System Without Internet Stays Current
The most common question about physically separated AI systems is: what about updates? The answer is less spectacular than expected — and the real point lies elsewhere: a well-built local system needs far less 'freshness from outside' than cloud vendors claim.
GDPR and Machine Data: The Questions to Ask Every Cloud AI Vendor
'It's only machine data' is one of the most expensive misconceptions in industrial digitalization. Why production data is more often person-relatable than assumed — and the question list every cloud offer has to survive.
Using PLC Data: What Already Lives in Beckhoff, TwinCAT and OPC-UA
Before you think about new sensors or a data project: your machine controller already knows hundreds of signals. How to tap them without touching the control programme — and what becomes possible then.
Anomaly Detection in Production: What an Explainable Alarm Must Deliver
The difference between a red light and a work instruction decides whether your maintenance team trusts an AI system. The four elements every alarm must deliver — and the checklist for every vendor meeting.
Predictive Maintenance Without Historical Data: Why You Don't Need to Collect for 12 Months
The most common project killer in predictive maintenance is one sentence: 'First we need 6 to 12 months of data.' It isn't true as stated. What works from week one without any history — and what honestly comes later.
Reducing Unplanned Downtime: Why More Sensors Are Not the Answer
The reflex after every expensive failure is: more sensors. But most plants don't have a data problem — they have an understanding problem. Why the answer to downtime is almost never new hardware.
The Emergence Space — A Phase-Transition Theory of Consciousness
A position paper proposing that consciousness is not a substance but a topological feature — a phase transition that occurs when four axes (Count, Density, Strength, self-referential Self-Generation) cross a critical surface within what I call the Emergence Space.