Project delivery
A defined outcome, a fixed scope and a committed timeline. Best when the problem is well understood and you need it built.
Solutions built to
carry real workloads
Five practices, one delivery team. Engage us for a single capability or for the whole chain — from the first discovery workshop to the platform running your business.
01 — Artificial intelligence
Applied AI and machine learning
We build AI that is accountable: grounded in your data, measured against explicit criteria, and shipped behind the same controls as the rest of your estate.
- Generative AI applications — assistants, copilots and content systems built on frontier and open-weight models
- Retrieval-augmented generation — answers grounded in your documents, with citations and permission awareness
- Agentic automation — multi-step workflows that call your APIs, with approval gates where they matter
- Computer vision — inspection, recognition, OCR and document understanding at scale
- Predictive modelling — demand, risk, churn and maintenance forecasting
- MLOps and evaluation — versioned datasets, automated evals, drift monitoring and rollback
Typical engagements
AI opportunity assessment
Proof of value
Production build
Managed AI operations
Timelines are indicative and confirmed after discovery.
Platform coverage
iOS — Swift, SwiftUI
Android — Kotlin, Compose
Flutter
React Native
Progressive web apps
Wearables & embedded
02 — Mobile engineering
Mobile products people keep on their home screen
Mobile is where most customers meet your business. We engineer for the realities of that channel: patchy networks, strict store review, device fragmentation and users who abandon anything that stutters.
- Offline-first architecture with conflict-safe synchronisation
- On-device intelligence for latency, privacy and cost
- Biometric authentication, secure storage and certificate pinning
- Accessibility and localisation built in, including right-to-left layouts
- Automated release pipelines to the App Store and Google Play
- Crash, performance and adoption analytics from day one
03 — Cloud & platform
Cloud platforms that scale predictably
Architecture is a cost decision as much as a technical one. We design systems that scale with demand and shrink when it passes — and we show you the numbers behind it.
- Cloud-native design on AWS, Microsoft Azure and Google Cloud
- Infrastructure as code with Terraform, versioned and peer-reviewed
- Kubernetes, serverless and event-driven service architectures
- Migration and modernisation of legacy estates, in measured phases
- Multi-region and data-residency-aware deployment
- FinOps: cost visibility, budgets and rightsizing as a standing practice
Operating guarantees we design for
Infrastructure as code
Automated CI/CD
Observability
Disaster recovery
Runbooks & handover
Data platform building blocks
Ingestion & CDC
Lakehouse & warehouse
Transformation
Feature store
Governance & lineage
Analytics & BI
04 — Data & analytics
Data foundations worth building AI on
Almost every stalled AI programme has the same root cause: data nobody trusts. We fix that layer first, because everything above it inherits its quality.
- Real-time and batch pipelines with contract-tested interfaces
- Lakehouse and warehouse modelling for analytics and machine learning
- Data quality monitoring with alerting on the metrics that matter
- Cataloguing, lineage and access governance
- Self-service dashboards and embedded analytics
- Privacy engineering: minimisation, masking and retention controls
05 — Security & governance
Secure by design, governed by default
Security and AI governance are engineering disciplines, not documents. We build the controls into the pipeline so compliance is a by-product of how the system is made.
- Threat modelling and secure architecture review
- DevSecOps: dependency scanning, secret detection and policy as code
- Identity, access and zero-trust network design
- AI governance — model registries, evaluation records and decision traceability
- Data protection alignment, including DIFC and GDPR-style regimes
- Penetration-test remediation and continuous hardening
Governance artefacts we produce
System & data flow diagrams
Model cards & eval reports
Access control matrix
Incident response runbook
Engagement models
Work with us the way that fits
Dedicated squad
A cross-functional team — engineering, design, data and delivery — embedded with yours for a rolling period.
Advisory & architecture
Senior review of an AI strategy, a cloud migration or an existing platform, with a written, actionable recommendation.
Questions
Before you get in touch
Advisory and discovery work can typically begin within a couple of weeks of an agreed scope. Full build teams depend on the skill mix required; we will tell you the realistic date rather than the convenient one.
You do. Unless a contract says otherwise, all bespoke source code, models, datasets and documentation created for your engagement are assigned to you on delivery, along with the repositories and infrastructure definitions.
Yes. We routinely deploy into a client's own cloud tenancy or private environment, in a region of your choosing, with open-weight or self-hosted models where third-party inference is not acceptable.
Often. Many engagements are joint teams, with our engineers working inside your process and transferring ownership progressively. Knowledge transfer and documented handover are part of the scope, not an optional extra.
A short call to understand the outcome you are after and the constraints around it. If we are a fit, we follow up with a written summary of the approach, indicative effort and the main risks. There is no charge for that stage.
Ready to scope something?
Bring us the problem. We will tell you honestly whether we are the right team for it.