Capabilities
Three disciplines, one delivery team — so cloud, AI, and SAP workstreams land as a coherent platform instead of three separate projects.
AWS Cloud Services
Landing zones, migration, modernisation, and managed operations on AWS — architected for resilience and cost from day one. We design, build, and run platforms your team can own, or operate them for you end-to-end. That includes the AI substrate: Amazon Bedrock, SageMaker, and private connectivity to frontier models.
Gen AI & Agentic AI
RAG pipelines, copilots, and autonomous agents wired into your workflows — with evaluation and guardrails built in. We work model-agnostic across Anthropic Claude, OpenAI GPT, Google Gemini, and open-weight models like Llama and Mistral, mostly via Amazon Bedrock and Azure OpenAI.
SAP Automation
Automation and integration across SAP processes — retiring manual finance and ops tasks end-to-end. Order-to-cash, close, and reporting flows become managed, observable pipelines.
Cloud migration & modernisation
Moving to AWS is the easy part — arriving with a modern, cost-efficient platform is the real outcome. We take workloads from legacy data centres or aging cloud footprints and land them on AWS with the right operating model, then keep them modernising after cutover.
Assessment & landing zone
Portfolio discovery, wave planning, and a Well-Architected landing zone with identity, networking, and guardrails set up before the first migration.
Migration factory
Repeatable rehost, replatform, and refactor waves for servers, databases, and applications — with rollback plans and cutovers that don't surprise the business.
Application modernisation
Break monoliths into containers and serverless on ECS, EKS, and Lambda; modernise databases to Aurora and DynamoDB; adopt event-driven patterns where they pay for themselves.
Data, cost & operations
Analytics and data platforms rebuilt on AWS-native services, FinOps reviews that drive costs down post-migration, and managed operations with observability baked in.
Generative AI, built for production
Demos are cheap — production generative AI needs retrieval, evaluation, and guardrails. We build LLM systems grounded in your enterprise data and shipped with the observability to prove they work, not just look impressive.
RAG on your data
Retrieval-augmented generation over documents, tickets, and knowledge bases — with chunking, embedding, and permission-aware retrieval designed for your stack.
Copilots & assistants
LLM copilots embedded in the tools your teams already use — drafting, summarising, and answering questions with citations instead of guesses.
Autonomous agents
Agentic workflows that plan, call tools, and complete multi-step processes across your systems — with human-in-the-loop controls where they matter.
Evals, guardrails & model choice
Structured evaluation pipelines, safety guardrails, and model-agnostic routing across Anthropic Claude, OpenAI GPT, Google Gemini, Llama, and Mistral via Bedrock or Azure OpenAI.
Partner network
Amazon Web Services
Authorised partner
Microsoft Azure
Partner
Google Cloud
Partner
Anthropic
Partner
OpenAI
Partner
SAP
Partner