Loading
About
NeuroNetIQ is an engineering systems intelligence company. We build the tools and provide the expertise to design and validate complex electrical systems before they reach hardware — through computable digital twins, physics-based validation, and deep systems engineering consultancy. Software is the delivery mechanism; engineering domain knowledge is the value.
Mission
To make complex engineered systems more transparent, more reliable, and more maintainable through purpose-built software and rigorous engineering practice.
How we are different
Everything we build starts with understanding the physics and operational context of the system it will serve. Software is the vehicle; engineering domain knowledge is the engine.
We build for environments where systems must work — motorsport pit lanes, vessel decks, offshore platforms, and industrial production floors.
We work on fewer engagements in greater depth. Our value is technical credibility and implementation quality, not headcount or geographic spread.
Leadership
Mark
Founder & Principal Engineer
NeuroNetIQ was established in 2024 to bridge the gap between deep domain engineering knowledge and the software systems needed to deploy it at scale. With direct hands-on experience in motorsport electrical architecture and wiring harness design, marine vessel electrical systems, offshore hydrographic survey operations, subsea acoustic metrology, and CAN bus systems engineering, the company builds tooling that real engineering teams use in the field — not just in simulation.
Technical Capability
Core engineering disciplines we bring to every engagement. We do not claim to do everything — we focus where domain knowledge and software delivery genuinely intersect.
How we engage
Every engagement starts with a direct conversation. We structure work to be low-risk and outcome-focused — from a first scoping call through to a full delivery programme.
A direct technical conversation about your engineering problem. We understand what you are building, identify the key risk, and determine whether a diagnostic or pilot engagement makes sense. No obligation. No sales deck.
We take one of your real systems and build an initial LoomLab model. Validation runs expose genuine engineering risk — harness issues, power budget shortfalls, CAN topology gaps. You receive a working model, full validation output, and engineering recommendations.
A full bounded engagement with a defined deliverable: a complete LoomLab twin of your system, configured validation rules, stress analysis, and build documentation — all within a fixed-scope engagement you can evaluate before committing to a larger programme.
Platform licensing, ongoing architecture reviews, and embedded engineering capability. Structured as a software licence, retainer, or milestone-based advisory — depending on what your programme requires.
Book a 30-minute discovery call. No sales process — just a direct conversation about your problem and whether we can help.