Seven practices that hold each other up.
We do not sell these as separate line items. A product needs a platform, a platform needs infrastructure, and an AI feature is worth nothing without the data pipeline underneath it. Most engagements draw on three or four at once.
Technology Solutions
Enterprises rarely have a technology problem — they have an integration problem wearing a technology costume. We design the target architecture, choose what to buy versus build, and make the estate coherent enough to move quickly again.
Target-state architecture
A documented destination with a migration path you can fund in stages and stop at any point without stranding value.
Integration platforms
API gateways, event backbones and contract testing so that two teams can change independently without a coordination meeting.
Vendor and platform selection
Structured evaluation against your real constraints, with the total cost of ownership modelled over five years, not one.
Discovery that ends in a decision
Two to four weeks of user research, technical spikes and prototyping, closing with a scope we are both willing to commit to.
Design and engineering in one team
Interface design, accessibility and front-end engineering sit together. No handover documents, no drift from the intent.
Platform engineering
Internal developer platforms, golden paths and paved-road tooling so your other teams inherit the speed rather than the sprawl.
Product Engineering
Full-lifecycle teams for software products — internal or customer-facing. We take responsibility for the outcome rather than the ticket count, which means telling you when a feature on the roadmap is not worth building.
Software Development
The core craft. Web, mobile and backend engineering delivered by teams that write tests first, keep pull requests small, and leave a codebase your own engineers can pick up without an archaeology phase.
AI & Automation Solutions
The gap between an impressive demo and a system you can put in front of customers is roughly nine months of unglamorous work. We start from that end.
LLM applications
Assistants, copilots and agentic workflows grounded in your own systems — with tool access scoped, logged and reversible.
Retrieval & knowledge systems
RAG pipelines with document chunking, hybrid search, permission-aware retrieval and citations users can actually verify.
Document intelligence
Extraction, classification and validation across contracts, claims and invoices, with confidence thresholds routing to humans.
Machine learning & forecasting
Demand, risk and churn models built on governed data, monitored for drift and retrained on a schedule you control.
Intelligent process automation
Workflow orchestration that replaces the spreadsheet-and-email layer between your systems, with full audit trails.
Evaluation & AI governance
Golden datasets, regression scoring, red-teaming and model cards — the evidence your risk committee will ask for.
Landing zones and guardrails
Multi-account structure, network topology, identity and policy baselines on AWS, Azure or GCP — codified, not clicked.
Container platforms
Kubernetes with the boring parts solved: ingress, secrets, autoscaling, progressive delivery and a sane developer experience.
FinOps and reliability
Cost attribution per team and per service, right-sizing, and SLOs with error budgets that genuinely change release behaviour.
Cloud & Infrastructure
Cloud migrations fail when they are treated as a hosting change. We rebuild the operating foundation — identity, networking, delivery pipelines and cost visibility — so that the platform gets cheaper and safer as it grows.
Digital Transformation
Modernisation programmes fail on sequencing, not technology. We slice the estate so that value lands every quarter, the legacy system keeps running until the day it is switched off, and no one has to bet the business on a cutover weekend.
- Wrap — put an API in front of the legacy system
- Extract — move one bounded context at a time
- Run parallel — shadow traffic and reconcile
- Cut over — per context, reversible in minutes
- Decommission — and actually turn the old one off
Tiered response
P1 acknowledged in 15 minutes, 24×7, with a named incident commander on every major.
Error budgets
SLOs agreed with the business and enforced against the release schedule.
Patch cadence
Critical CVEs remediated within defined windows, evidenced monthly.
Continuous improvement
A fixed share of every sprint spent on toil reduction, not just tickets.
Enterprise Technology Services
Running software well is a discipline of its own. Our managed engagements combine application support, site reliability engineering and a standing improvement backlog, so the platform gets better rather than merely surviving.
Bring us the problem, not the specification.
Send a paragraph about what is not working. An architect will come back within one working day with questions worth answering.