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Product engineering studio

From an idea to best-in-class software in market, fast.

Production software for web, mobile and beyond — built by senior engineers who also help you find where AI actually moves the needle in your business, then build it in.

See what we build
Discover → Pilot → Build → SustainDedicated team, direct access
delivery / productionlive
Web platformLIVE
Backend & APIsACTIVE
Mobile appSHIPPED
AI featuresPRODUCTION
Test suite
passing on every push
Observability
issues caught early
Release
shipped without drama
Web & mobile engineering◆Cloud & platform engineering◆AI infrastructure & LLMOps◆RAG & multi-agent systems◆Zero-trust networking◆Proactive IT support◆Senior engineering talent◆
What we do

Build it, run it, staff it.

Software development is the practice everything else sits under — AI included. The same senior team that ships the product keeps the systems and networks under it healthy, and can place engineers alongside yours.

Flagship

Software Development

Production software across web, mobile and backend — including AI where it genuinely moves the needle for your business. Senior engineers, shipped end-to-end.

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AI & Digital Transformation

We assess where AI can actually help your business, then implement it — from a focused pilot to production-grade infrastructure and applications.

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IT Support

Managed support with engineers who read code, not scripts — endpoints, identity, cloud workloads and the escalations nobody else wants.

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Network Engineering

Design, segmentation and hardening across sites and cloud — the unglamorous layer that decides whether the product feels fast or fragile.

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Recruitment

Engineers sourced and vetted by people who have shipped the work themselves, drawn from our wider engineering network.

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How the work runs

Discover → Pilot → Build → Sustain

Every stage ends in something you can judge — a decision, a working pilot, shipped software, a system someone is accountable for.

STAGE 01

Discover

Sharpen the idea into a scope: users, constraints, data, the riskiest assumption. Written down, not implied.

STAGE 02

Pilot

Build the thin slice that tests it for real — with an evaluation set, so "does it work" has an answer instead of an opinion.

STAGE 03

Build

Production engineering: the application, the infrastructure under it, CI, observability — shipped in increments you can use.

STAGE 04

Sustain

Run it: support, monitoring, model and dependency upgrades, and a roadmap that keeps moving after launch week.

Proof of Work

What we've actually built

Client work and in-house R&D, labeled honestly as one or the other — never blurred.

Client Work — Reference Available

Maritime exam-prep platform

Problem: Mariners preparing for MCQ certification exams needed a structured way to practice — not another PDF of past questions.

Solution: An MCQ practice and testing platform with a 300+ question bank, tiered packages and a free trial — one embedded FCC engineer working directly with the client.

Result: Live and in production today, rated 4.8 by real users.

See it live at thecolregs.com
Client Work — Confidential

AI-native payments & AP automation platform

Problem: Cross-border payments and AP workflows are slow, manual and hard to audit.

Solution: A multi-agent AI system — extraction, validation, audit — with PII tokenized before it reaches any model.

Result: An architecture that treats compliance and security as first-class, not bolted on.

In-House R&D — Not Paid Engagement

Hospital management platform

Problem: Clinical scheduling and records fragmented across disconnected tools.

Solution: A unified scheduling, records and care-coordination platform.

Result: Clinicians spend less time on admin, more on care.

Client Work — Confidential

Trading strategy backtesting & virtual execution tool

Problem: Traders need to test a strategy before risking real capital.

Solution: A backtesting and virtual trade-execution tool — not a live trading platform.

Result: Strategies get tested against real conditions with zero capital risk.

Client Work — Reference Available

Mortgage broker website & enquiry engine

Problem: AIM Mortgages, an FCA-regulated broker, needed a site that could explain first-time-buyer, remortgage, buy-to-let and protection products clearly and convert visitors into qualified enquiries.

Solution: A product-led site with dedicated pages per mortgage type, an interactive loan calculator, and a structured quote-request flow feeding the broker's pipeline.

Result: Live and taking mortgage enquiries today.

See it live at aimmortgages.co.uk
Client Work — Reference Available

Spice & gluten-free flour e-commerce store

Problem: Eternal Seasoning needed a direct-to-consumer storefront for their spice, seasoning and gluten-free flour range, plus a way to route wholesale, private-label and custom-blend enquiries separately from retail orders.

Solution: A full e-commerce storefront with a product catalogue, a custom spice-mix builder, recipe content, and a dedicated wholesale/bulk category.

Result: Live and selling — retail orders and wholesale enquiries running through the same site today.

See it live at eternalseasoning.co.uk
Inside the build

AI-native payments & AP automation platform

One platform, two halves: a remittance and treasury product on one side, an AP automation pipeline on the other. Client work, described here without naming the client.

Remittance & treasury modules

KYC

Identity verification and compliance checks run before a user can move money — not bolted on after.

Pay by Bank

Direct bank-to-bank payment initiation via TrueLayer's open banking rails — no card networks in the loop.

Treasury Management

On/off-ramps into stablecoins through exchange integrations (Coinbase, CoinDCX, CoinSwitch) for cross-border liquidity.

Market Analysis

Live FX and rate intelligence surfaced directly in the product, so users know when — not just how — to move money.

AP automation pipeline

01

Ingest

Google Document AI and Tesseract OCR extract structured data from invoices and PDFs, however they arrive.

02

Extract

FastAPI with Instructor turns unstructured documents into validated, typed records — not a best-guess parse.

03

Tokenize

Personal and financial identifiers are tokenized before any of it reaches a model.

04

Observe

Every extraction and every agent action is traced end-to-end, so a wrong answer is debuggable, not a mystery.

An MCP server that answers in plain EnglishExample queries

“What invoices are overdue right now?”

Overdue invoices with client name, amount and contact — ready to chase, not buried in a spreadsheet.

“Which supplier payments are pending?”

Pending payables by supplier, sorted and ready for approval.

“What's this supplier's history with us?”

Contact details plus the last five goods or services they provided — instant context before a call.

Trust & Security

Data handled like it matters

Tokenized before it reaches a model

Personal data is tokenized before it ever reaches an AI model — reversible only where it genuinely needs to be.

Zero-trust by default

Every user, device and service is verified and least-privilege by default — nothing is trusted just because it is inside the network.

Fully observable

Every AI decision and system action is logged and traceable — not a black box you have to take on faith.

Built for audits, not around them

Compliance is an architecture decision made on day one, not a retrofit before a regulator visits.

Questions

Before you ask

Timelines depend on scope, but the fixed-scope pilot is designed to prove the core idea quickly — without skipping the engineering rigor that keeps the product standing up once real customers arrive.

Bring the idea. We'll bring the engineers.

A 30-minute technical call: what you're building, what it needs underneath, and the fastest honest route to market.