Our approach
The platforms and tools we know from working inside them — not from reading the sales deck.
Technology recommendations mean more when they come from experience. We've worked inside most of the platforms we recommend — as consultants, as implementers, and as the people who've had to make them work at scale.
Where technology selection is part of an engagement, we advise without commercial bias toward any single vendor. The right tool is the one that serves the organisation's needs — not the one we know best.
Sitecore
Enterprise DXP with deep personalisation, content and commerce capabilities — built for complex, multi-brand digital estates.
Optimizely
CMS, experimentation and B2B commerce combined — strong in organisations that want to test their way to better customer experience.
Adobe Experience Manager
Enterprise-scale content management and asset delivery, built for regulated sectors and brands managing global digital estates.
Acquia
Open-source power with enterprise support — Drupal-based DXP suited to organisations that value data ownership and composable architecture.
Umbraco
Flexible .NET CMS with a strong track record in mid-market organisations wanting control without enterprise overhead.
Contentful
API-first headless CMS — the go-to for teams building composable architectures and multi-channel content delivery at scale.
Sanity
Highly customisable structured content platform — favoured by development-led teams wanting precise control over schema and editing experience.
WordPress (VIP)
The world's most-used CMS — relevant at enterprise scale on WordPress VIP, and embedded in most organisations' content histories.
Kentico Xperience
Hybrid headless CMS with built-in marketing automation — well suited to marketing-led teams in B2B and membership organisations.
Laravel
PHP framework powering bespoke content platforms — clean architecture, rapid development and a strong ecosystem for custom CMS builds.
Claude (Anthropic)
Our primary AI partner for content generation, knowledge management, document intelligence and agent-based workflow automation.
OpenAI / GPT-4
Large language model capabilities for natural language processing, summarisation and embedded AI features across digital products.
Microsoft Azure AI
Enterprise AI services — from cognitive search and document intelligence to OpenAI models within a governed, compliant infrastructure.
Vercel
Frontend cloud platform for deploying AI-native and headless web applications — fast iteration cycles and edge delivery built in.
Optimizely Agent
AI-powered experimentation and feature management at scale — embedding machine-driven personalisation into the delivery cycle.
Salesforce
The market-leading CRM — with Sales Cloud, Service Cloud and Marketing Cloud covering most enterprise commercial and customer operations.
HubSpot
Integrated CRM, marketing and sales platform — strong for growth-stage organisations wanting a unified, lower-overhead commercial stack.
Microsoft Dynamics 365
Enterprise CRM and ERP suite — best suited to organisations already deep in the Microsoft ecosystem seeking a unified data model.
Dotdigital
Email and cross-channel marketing automation — strong in membership and retail, with deep CRM and ecommerce integrations.
Shopify & Shopify Plus
The default choice for direct-to-consumer commerce — fast to launch, extensible at scale, and increasingly capable for B2B.
commercetools
MACH-native headless commerce — for organisations requiring composable, API-first architecture across complex multi-market operations.
Stripe
Developer-first payments infrastructure — subscriptions, invoicing and marketplace flows handled with minimal integration overhead.
Microsoft Azure
Enterprise cloud of choice for UK regulated sectors — strong compliance posture, M365 integration and AI services under one governance model.
Amazon Web Services
The broadest cloud platform — favoured by engineering-led organisations for its depth of managed services and global infrastructure reach.
Google Cloud
Strong in data engineering, BigQuery analytics and AI/ML workloads — often the right choice when Google Workspace is already central.
Snowflake
Cloud data warehouse built for scale — multi-cloud, performance-optimised, and the anchor of most modern data platform architectures.
Databricks
Unified analytics and AI platform — data engineering, machine learning and governance combined for organisations building intelligence into their products.
Twilio Segment
Customer data platform for collecting, unifying and activating first-party behavioural data across the full marketing and product stack.
Tableau
Data visualisation and business intelligence — translating complex datasets into insight that decision-makers can actually act on.
Microsoft Power BI
Self-service BI embedded in the Microsoft ecosystem — the practical choice for organisations already running on Azure and M365.
dbt (data build tool)
SQL-first data transformation framework — brings software engineering discipline to analytics, turning raw data into trusted, versioned models.
Microsoft Fabric & Purview
Unified analytics platform and data governance suite — end-to-end data estate management within the Microsoft ecosystem.
MuleSoft
Enterprise integration platform — connecting applications, data and devices across legacy and modern infrastructure through a managed API layer.
Boomi
Low-code iPaaS for mid-market organisations — rapid integration of SaaS applications and on-premise systems without heavy engineering overhead.
Confluent / Apache Kafka
Real-time event streaming for high-throughput data pipelines — the foundation for organisations building event-driven, reactive architectures.
Technology selection is never vendor-neutral in practice — but it should be. We recommend what serves the organisation, drawing on direct experience of how these tools perform under real-world constraints: legacy integration, team capability, governance requirements, and total cost of ownership over time.