Technology intelligence
Understand your technology. Transform with confidence.
MindMachine helps organisations see the systems they actually have — then modernise, invest and adopt AI with evidence, not hope.
Runs in your environment · Works with your LLM · Validated by expert engineers
The problem
Most technology estates are a black box.
Decades of in-house development, outsourced builds and changing teams have left most organisations running systems nobody fully understands. Without that understanding it's hard to judge what to keep, what to fix, what to replace — or how to brief the partner who'll build what comes next.
01 / KNOWLEDGE GAP
Decades of change, little memory
The people who built it have moved on. The documentation, if it exists, describes a system that no longer does.
02 / HARD TO ASSESS
Secure, robust, fit for purpose?
How relevant is your code base? How exposed? How connected to everything around it? Most leaders can't say with confidence.
03 / AI AMPLIFIES IT
Garbage in, garbage out
Point AI at poorly understood code with no clear goal and you burn tokens, put data at risk and miss the outcome you wanted.
Rush in
Data leaves your control, tokens burn and the results disappoint.
Hold back
Legacy risk keeps growing while others move ahead.
The MindMachine way
Understand first. Then move — mindfully, and with control.
Telos Studio
Context before conclusions.
Telos Studio is our data orchestration platform. It runs inside your environment, connects every artefact you have, and maps them onto a proprietary knowledge graph that codifies more than 25 years of engineering and systems experience. Your own LLM adds reasoning on top. Our engineers make sense of the result.
01 / CONNECT
Your systems of record
Code repositories, Confluence, Jira, hosting and cloud data, APIs and adjacent systems.
02 / MAP
The knowledge graph
Links entities across systems to show what's connected, what isn't, and why it matters.
03 / REASON
Your chosen LLM
Augments the analysis with documentation, explanation and options. No model lock-in.
04 / VALIDATE
Expert minds
Senior engineers interpret, challenge and refine — the final 10% machines can't do.
Sovereign by design
Deploys inside your network. You can isolate it, audit it or switch it off.
Model agnostic
Works with the LLM you've already approved — ChatGPT, Gemini, Claude or others.
Token efficient
The heavy lifting is done once, so later AI work — including code generation — costs less.
Human in the loop
Every finding is reviewed by people with the expertise to challenge it.
Where we help
Evidence for the decisions that matter.
Systems documentation
Rebuild the missing manual for the systems that run your business — and block your next move.
Analysis and recommendations
An independent view of risk, strengths, technical debt and the options ahead.
M&A due diligence
Pre- and post-deal evidence on the technology you're really buying, and what it will take to integrate.
Partner build assurance
Audit a legacy product against what an outsourcing partner has built to replace it.
System relationships
Map dependencies and referential integrity between systems before you change any of them.
What you get
System maps, risk and maturity scores, technical debt analysis, recommendations and executive decision packs.
Mind + Machine
Machines do the lifting. Minds make the difference.
Our name is the model. Automation gets you most of the way, fast. But the final 10% — the analysis, the checking, the refinement that turns raw output into a decision you can stand behind — needs experienced people. So we've brought together some of the best engineers we've worked with at Trainline and dunnhumby.
David Higgins
CO-FOUNDER
Former GM, B2B at Trainline.
How we start
We don't start with what we want to sell.
We start with what you need to solve.
1
Define the problem
A working session on the decision you need to make, and the systems behind it.
2
Scoped assessment
Telos Studio deployed in your environment, connected to your systems and your LLM.
3
Decision pack
Findings, options and a roadmap — ready for your board, your teams or your delivery partner.
Let's start with the problem.
Tell us about the decision you're facing — modernisation, diligence, AI readiness or a partner build. We'll come back within two working days.