AI & IT Consulting
AI systems that actually ship —
built by engineers who ran real risk.
NitroX Consulting designs, builds and operates AI and IT systems for teams that need results, not prototypes. Two decades in capital markets; today, agentic AI in production.
What we do
From idea to something running in production
Three practices, one team. We take a problem end to end — design, build, deploy, and keep it running.
Agentic AI systems
Autonomous assistants and workflows that read your tools, act on your data, and stay under your control. We built NitroxBrain — our own multi-user AI second brain — and we deploy the same engineering for you.
Practical IT & software
Pricing engines, data pipelines, internal tools, and web platforms — pragmatic software that solves a real problem and ships, not a slide deck.
Data & analytics
Turn spreadsheets and scattered records into models you can query. Risk analytics, scenario testing, and decision support built by people who priced real books.
Why us
Regulated-finance rigour, applied to AI & IT
NitroX Consulting has built pricing, risk and modelling systems for capital markets since 2001. Risk management is learned in crisis situations — and that discipline is exactly what most AI projects lack. We bring it: systems that are correct, auditable, and safe to put in front of real money and real users.
Proof
We ship our own products, too
The fastest way to judge a builder is what they run in production.
NitroxBrain
A production multi-user AI assistant on Google Chat, Slack and Microsoft Teams — our flagship proof that we build and run real AI in production.
Pricing & risk engines
Excel pricing add-ins and web platforms for IRS, swaps, options and FX — including knock-in / knock-out risk management used on live desks.
Regulatory-grade modelling
Modelling and stress-scenario work informed by real FRTB / IRRBB regimes — the discipline of regulated finance applied to your systems.
Have a problem worth solving?
Tell us what you wish AI or software handled for your team. If we are the wrong fit, we will say so.