British Army / REME
I started as an apprentice. It taught me discipline, responsibility and that real systems have to work when people depend on them.
KynticAI
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Paul Maddison · Founder and CEO · KynticAI
I started close to the machine, then moved through enterprise software, .NET, Java, cloud and distributed systems into Rust, Go and modern AI engineering. KynticAI comes from that whole journey, not one sudden idea about AI.

Engineer · founder · operator
Paul Maddison
Liverpool · British Army veteran · 30+ years in software
30+ years
commercial software engineering
Army to Principal
from apprentice to principal engineer
.NET · Java · Rust · Go
modern enterprise and platform engineering
AI · cloud · KynticAI
still building, still learning
The journey
I started as an apprentice. It taught me discipline, responsibility and that real systems have to work when people depend on them.
A software engineering apprenticeship led into commercial telecoms and embedded C work, including vending telemetry and DEX data.
I moved into larger business applications, databases and operational systems where software had to fit the way a company actually worked.
Then came enterprise web platforms, APIs, integrations and the long shift from desktop software to the web.
I spent the next part of my career building and leading distributed services, APIs, cloud platforms and large company systems.
The tools changed again. I kept moving with them, using modern languages, cloud platforms and coding agents while keeping testing and engineering judgement around the work.
KynticAI brings all of that experience together around one idea: a company should be able to learn from what actually happens across the whole business.
What I work with now
I have never been interested in living off an old version of my career. KynticAI is being built with the modern languages, cloud, data and AI engineering the product needs now.
What I believe
Companies have already spent years building sales, finance, support, data and internal systems. KynticAI should make them work better together, not demand another replacement programme.
Useful intelligence should not sit idle until somebody knows the perfect prompt. The changing business itself can tell us what deserves attention.
The model should help make sense of the decision. It should not have to invent the company history underneath it.
If an action works or fails, keep that result. Otherwise the company has to learn the same lesson again.
What that became
Not another chat window sitting beside the company. Intelligence across the company, action through the company and the result kept for next time.
Explore the Intelligence Engine