Discovery
Deep-dive workshops to map your business landscape, pain points, and technology ambitions.
Our Services
Technology services built to scale with you.
From custom enterprise software and ERP platforms to cloud infrastructure, data centres, and applied AI — delivered by one accountable team.
120+
Platforms shipped
8
Service practices
37
Specialist engineers
24/7
Production support
Practices
Eight practices, one delivery standard
Each has its own depth and its own page. They share a review process, an engineering bar, and a single point of escalation.
Enterprise Software
Custom platforms, integration layers and customer-facing products, architected around the seams that will move.
ExploreCloud Infrastructure
Migration, landing zones and platform engineering across AWS, Azure and GCP, with spend that stays predictable.
ExploreAI & Automation
LLM integration, intelligent process automation and predictive ML — with an evaluation bar agreed before the build.
ExploreData & Analytics
Warehouses, governed semantic layers and BI, so the board and operations read the same number.
ExploreERP & CRM Platforms
A composable multi-tenant platform behind seven CRM verticals, plus a full-stack SAP practice.
ExploreDigital Transformation
Operating model, process and legacy modernisation, sequenced so value lands every quarter.
ExploreCyber Security
Posture assessment, remediation engineering and managed detection, validated against a real adversary path.
ExploreData Center
Facility design, migration and operations, commissioned by proving resilience rather than signing it off.
ExploreWhat We Do
Enterprise-Grade Services
Comprehensive technology services designed to help organizations innovate, scale, and succeed in a digital-first world.
Enterprise Software
Custom, scalable software built for mission-critical enterprise environments with modern architectures.
ERP & CRM Platforms
End-to-end implementation and customization of SAP, Oracle, and next-gen ERP/CRM platforms.
Cloud Hosting Services
Multi-cloud strategy, migration, and managed hosting on AWS, Azure, and Google Cloud.
Data Center Establishment
Full-spectrum data center design, deployment, and management for enterprise workloads.
AI & Automation
Embedding machine learning, LLMs, and workflow automation into your existing business processes.
Technology Consulting
Strategic technology roadmaps, architecture reviews, and digital transformation advisory.
Where to start
Start from the problem, not the practice
Clients rarely arrive asking for a service. They arrive with a symptom. This is roughly how those map.
| If the problem is… | Start with | Typical first step | Time to evidence |
|---|---|---|---|
| A process held together by spreadsheets | Digital Transformation | Four-week diagnostic with process mining | 4 weeks |
| A system that no longer keeps up | Enterprise Software | Two-week architecture sprint | 2 weeks |
| A cloud bill nobody can explain | Cloud Infrastructure | Three-week estate assessment | 3 weeks |
| Three teams reporting three different numbers | Data & Analytics | Two-week reporting review | 2 weeks |
| An AI pilot that never reached production | AI & Automation | One-week use-case workshop | 1 week |
| An audit finding or a breach scare | Cyber Security | Three-week posture assessment | 3 weeks |
| A CRM that does not fit how you sellProduct available | ERP & CRM Platforms | Configured demo on your vertical | 1 week |
| A facility decision with a fifteen-year consequence | Data Center | Four-week estate assessment | 4 weeks |
A process held together by spreadsheets
- Start with
- Digital Transformation
- Typical first step
- Four-week diagnostic with process mining
- Time to evidence
- 4 weeks
A system that no longer keeps up
- Start with
- Enterprise Software
- Typical first step
- Two-week architecture sprint
- Time to evidence
- 2 weeks
A cloud bill nobody can explain
- Start with
- Cloud Infrastructure
- Typical first step
- Three-week estate assessment
- Time to evidence
- 3 weeks
Three teams reporting three different numbers
- Start with
- Data & Analytics
- Typical first step
- Two-week reporting review
- Time to evidence
- 2 weeks
An AI pilot that never reached production
- Start with
- AI & Automation
- Typical first step
- One-week use-case workshop
- Time to evidence
- 1 week
An audit finding or a breach scare
- Start with
- Cyber Security
- Typical first step
- Three-week posture assessment
- Time to evidence
- 3 weeks
A CRM that does not fit how you sell
Product available- Start with
- ERP & CRM Platforms
- Typical first step
- Configured demo on your vertical
- Time to evidence
- 1 week
A facility decision with a fifteen-year consequence
- Start with
- Data Center
- Typical first step
- Four-week estate assessment
- Time to evidence
- 4 weeks
How we work
Three commitments that apply to every practice
Accountability
One team owns the outcome end to end
The most expensive pattern in enterprise delivery is a chain of suppliers each accountable for their own layer and nobody accountable for the result. Our practices share a delivery standard, a review process and a single point of escalation.
- One commercial relationship across every practice involved
- Architecture reviewed across practice boundaries, not within them
- A named engagement lead who does not change mid-programme
- Escalation to a partner, not to a queue
Evidence
Baselined before, measured after
Every engagement starts by measuring the thing we are being asked to improve. It occasionally produces uncomfortable findings — a process that is already efficient, or a system that does not need replacing — and reporting those is the point.
- Current-state measurement before any change is proposed
- Success metric agreed in writing with the sponsor
- Results reported against the baseline, including misses
- Findings are yours whether or not you continue
Exit
Designed so you can leave
We are not trying to become a permanent dependency. Code lives in your repository, decisions are recorded in your systems, and every retainer has a documented exit. A supplier you cannot leave has no incentive to stay good.
- Full IP and source ownership transfers as work is delivered
- Runbooks and decision records written for your team
- Handover includes shadowing rather than a document drop
- Retainers taper by agreement instead of renewing by default
Our Process
Our Delivery Process
A proven methodology that ensures every project is delivered securely, efficiently, and at scale.
Discovery
Deep-dive workshops to map your business landscape, pain points, and technology ambitions.
Planning
Feasibility analysis, resource planning, risk assessment, and technology stack selection.
Architecture
System design, infrastructure blueprints, and security-first architecture documentation.
Development
Agile development cycles with continuous integration, code review, and QA gates.
Deployment
Zero-downtime releases, blue/green deployments, and full cloud orchestration.
Support
24/7 monitoring, incident response, performance optimization, and ongoing evolution.
Engagement models
Three ways to buy the work
Almost every relationship starts with an assessment, because it is the cheapest way for both sides to find out whether the fit is real.
Assessment
Fixed fee
One to four weeks
A scoped, costed read on the problem before anyone proposes a solution to it.
- Quoted before it starts, no open-ended discovery
- Findings and artefacts yours regardless of next steps
- An honest recommendation, including 'do nothing'
- Feeds directly into a costed proposal if you want one
Recommended
Project delivery
Phased
Exit gates between phases
A cross-functional team delivering production-ready increments against agreed milestones.
- Scope negotiable at every boundary, quality is not
- Working demo on a fixed cadence from week four
- Repository and IP yours from the first commit
- Stop between phases without losing what shipped
Retained team
Monthly
Named team, agreed SLA
Ongoing capacity, support and evolution from engineers who already know your systems.
- Named engineers rather than a rotating pool
- Agreed response and resolution targets
- Planned taper as your own capability grows
- Documented exit from the first month
Built on Modern Infrastructure
We leverage the world's most trusted platforms to deliver enterprise-grade solutions.
React
Next.js
Node.js
TypeScript
Python
Docker
Kubernetes
AWS
Azure
Google Cloud
PostgreSQL
MongoDB
Kafka
Elasticsearch
Nginx
Linux
Ansible
Terraform
Redis
Jenkins
OpenAI
LangChain
GitHub Actions
Prometheus
Questions
What clients ask before the first engagement
If yours is not here, it is a good opening question for the call.
Working with us
Do we have to engage more than one practice?
No. Most engagements start in one practice and stay there. The practices share a delivery standard so that when a problem does cross a boundary — a data platform that needs a landing zone, a CRM rollout that needs integration work — it is one team and one commercial relationship rather than a handover between suppliers.
Can you work alongside our incumbent supplier?
Routinely, and we do not require exclusivity. We are often one of several parties, and part of the early work is usually clarifying who is accountable for what across them. Where we are asked to assess an incumbent's work we will do it honestly, which is occasionally uncomfortable and always the reason we were asked.
What size of organisation do you usually work with?
Mid-market through enterprise, most often where there is an existing estate with real constraints rather than a greenfield build. If a problem is genuinely better served by an off-the-shelf product or a smaller specialist, we will say so — it is a faster way to earn the next conversation than winning the wrong one.
Commercials
How do you price work?
Assessments are a fixed fee quoted before they start. Project work is scoped per phase with an exit gate between phases, so you never commit to the whole programme on day one. Retainers are monthly against a named team and an agreed SLA. We do not run open-ended time-and-materials discovery.
What happens if an estimate turns out to be wrong?
It is renegotiated at the next phase boundary, in the open. We hold quality and the release date fixed and treat scope as the variable, so the conversation is about what ships rather than about a change request. Estimates are given with a stated confidence range for this reason.
Who owns what we pay you to build?
You do, from the first commit. Repositories live in your organisation, IP assigns as work is delivered rather than on final payment, and we run a dependency licence audit before launch so you know exactly what you are shipping and under which terms.
Tell us the problem, not the specification.
Send the symptom and the constraints. We will come back with an approach, a cost range, and an honest view on whether we are the right team.