From legacy to automated, without stopping the business.
We help companies move the systems they already rely on, from legacy code to manual workflows, onto AI-assisted, automated footing. We find where AI pays, prove it on a small scope, and take it into production while the business keeps running and people stay in control.
From a personal trading system to Edgeproof.
- Where it started
- A Python trading system Dinesh wrote himself: multiple strategies, a backtesting engine, data downloads and everything around them. It took almost two years to make it bug-free and dependable.
- What changed
- Working with AI under his direction, he rebuilt that legacy system into a full platform rather than starting again. The two years of fixes and lessons carried over; the rework did not take two years.
- The result
- Edgeproof, our in-house platform for complete backtesting and strategy verification, built in under two weeks.
- What it shows
- AI pays most when it builds on a system that already works and someone who knows that system is directing it. That is the situation most of our clients are in.
Four places we usually start.
Automate the repetitive work
Reports, reconciliations, data entry, triage and hand-offs that eat your team's day.
Answers from your own documents
Manuals, specifications, tickets and contracts made searchable and answerable, with sources shown.
Modernise legacy code faster
Migrations, refactoring, tests and documentation for code nobody wants to touch, done with AI assistance and reviewed by engineers.
AI-assisted engineering
Your developers working with AI tools day to day, with the habits and guardrails that keep quality up.
Small, provable steps.
Assess
We map your systems and workflows, and name the few places where AI would pay back, with an honest view of what it would cost and risk.
Pilot
One use case, a fixed scope, real data and a clear measure of success agreed before we start.
Productionise
Integration with your existing systems, monitoring, access control and a fallback when the AI is unsure.
Hand over
Your team runs it. We leave documentation, training and the know-how behind, not a dependency on us.
AI that works for you, not around you.
People stay in control
A person approves anything that moves money, changes records or reaches a customer.
Your data stays yours
We choose tools and deployment so your data goes only where you have agreed it can go.
Measured, not assumed
Every use case has a before-and-after measure. If it doesn't earn its keep, we say so and stop.
Simple over clever
The smallest change that does the job, built on what you already run.
Companies with systems that already work.
Enterprise software teams, product companies, and manufacturers and industrial firms whose systems run the business and can't be switched off for an experiment.
Thirty years of building enterprise platforms and embedded, automotive and industrial systems means we know where AI fits in them, and where it doesn't. For the wider architecture and leadership work, see engineering and technology leadership.
Tell us which part of your business takes too long.
Most engagements start with a one-hour conversation and a short written assessment.