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Industries

Technology shaped by your domain.

We bring sector understanding to every engagement — because context decides the right solution.

12 sectors

Where we build, and what makes each one different.

The line under each card is the binding constraint in that sector — the thing that shapes the architecture before any requirement does.

Logistics & Transportation

Visibility and automation across the supply chain.

The constraint — the data arrives late, and from people you do not employ.

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Healthcare

Secure, compliant systems for better care.

The constraint — patient safety and interoperability decide the architecture before any feature does.

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FinTech

Reliable, secure financial technology.

The constraint — the ledger has to be provably correct while onboarding stays fast.

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Education

Learning platforms built for engagement.

The constraint — the people who have to use it did not choose it, and attention is the scarce resource.

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Retail & E-commerce

Unified commerce and customer data.

The constraint — stock, price and identity have to agree across every channel at once.

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Real Estate

Digital tools for property and tenancy.

The constraint — the transaction is slow, document-heavy and full of parties you do not control.

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Manufacturing

Connected operations and smart factories.

The constraint — the machines predate the software, and downtime is measured in money per minute.

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Hospitality

Guest experiences powered by technology.

The constraint — the guest experience is judged in the moment, on systems with a seasonal load.

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Startups

From MVP to scale, with the right foundations.

The constraint — you are paying for the option to change your mind later.

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Professional Services

Automate delivery and client operations.

The constraint — the product is billable time, so anything that leaks it comes first.

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Energy & Utilities

One operating picture across assets and the field.

The constraint — field data arrives on the field’s terms — in volume, and out of order.

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Insurance

Faster decisions that still stand up to audit.

The constraint — a decision made in seconds has to stay defensible years later.

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Domain knowledge

What sector experience actually means.

It means knowing which of a sector’s constraints actually bind and which are habit — not claiming twelve industries’ worth of specialist depth, which is a claim that never survives contact with a real practitioner. What genuinely transfers is the engineering: integrating systems you do not control, migrating without a big-bang weekend, making a decision auditable years later.

The domain knowledge is yours. Our job is to ask better questions about it than the last supplier did, and to write the answers down where the next engineer can find them.

What we bring

  • Patterns from the same problem solved in other sectors
  • Integration and migration approaches that survive systems you do not own
  • Security, audit and access designed in rather than added afterwards
  • A read on which of your constraints are real and which are habit

What we need from you

The people who actually do the work rather than only those who describe it; the exceptions that break the documented process; and whoever owns the number the work is supposed to move.

Regulated sectors

When there is a regulator in the room.

Five of the sectors above answer to one. That changes what has to be produced alongside the software, and it is far cheaper to build those artefacts as you go than to reconstruct them for an audit.

Evidence as a deliverable

Risk assessments, hazard logs and audit trails produced while the work happens, because they cannot be written credibly afterwards.

Decisions you can reconstruct

Automated decisions stored with their inputs and the rule version behind them, so an audit becomes retrieval rather than investigation.

Data minimisation by default

The least data that does the job, with retention and residency settled before the schema rather than after an incident.

Change control that fits delivery

Versioned, dated, reviewable changes — so shipping frequently and satisfying a regulator stop being in tension.

FAQ

Questions about sector fit.

Sometimes directly, and where we do not we will say so rather than reframing an adjacent project as sector experience. What we bring is engineering that transfers; the domain knowledge is yours, and the first weeks are spent getting it out of people’s heads properly.

No. These twelve exist because their constraints come up most often, not because we decline everything else. If your sector has a regulator, a legacy core and data arriving from parties you do not control, the work rhymes closely with what is described here.

With the least access that lets the work proceed: anonymised or synthetic data in development wherever that is possible, named access with an audit trail where it is not, and residency agreed in writing before anything moves. If a request would put us in the way of your obligations, we will say no to it.

No. Client data is used for the engagement it belongs to and nothing else. Where a model is part of the work, its training data and provenance are agreed with you and documented, and anything sensitive stays inside your boundary.

Yes, and the earlier the cheaper. Bringing them in at design rather than at sign-off removes rework, and it is the difference between compliance being a gate at the end and a constraint you designed around from the start.

Does your sector look like one of these?

Tell us the constraint you are working around. We will tell you whether it is a technology problem, and whether we are the right team for it.