Applied AI and data platforms
Retrieval systems, agent workflows and evaluation harnesses — plus the data pipelines they depend on.
- RAG and agentic workflows in production
- Evaluation, guardrails and red-teaming
- Lakehouse and streaming pipelines
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SERVICESFrom the first model in production to the 3 a.m. incident, the same engineers design, secure and run your platform. Every engagement names its scope, its deliverable and the outcome it changes.
One stack, not four projects.AI, data, product and modernisation work designed together from the first commit, so what you pilot is what you ship.
Retrieval systems, agent workflows and evaluation harnesses — plus the data pipelines they depend on.
Full lifecycle software delivery, from architecture and design through release and iteration.
Migration and re-architecture of systems that still run the business but no longer fit it.
Security as a property, not a phase.Controls, tests and evidence built into the pipeline, so every release ships already reviewed and audit-ready.
Posture reviews, pipeline hardening, threat modelling, cloud posture management and vCISO advisory.
SOC 2 Type II, ISO 27001, HIPAA and CMMC control mapping with an auditor-ready evidence pack.
Test strategy, automation frameworks and release gating that finds problems before your users do.
We keep running what we build.Cloud platforms, automation and round-the-clock operations with published response times and a named lead engineer.
Landing zones, Kubernetes platforms, infrastructure as code and FinOps across AWS, Azure and GCP.
Process automation, agentic workflows and the operational reporting that proves they work.
24/7 monitoring, alert triage, patching and incident response with a named lead engineer.
Four stages, each with a named output. You always know what's next and what you'll be holding.
A short assessment of your estate, risks and goals. Output: a findings report.
Architecture, controls and a delivery plan with a fixed scope. Output: a signed plan.
Engineers build in short, demo-able increments. Output: working software and evidence.
We operate, monitor and improve it — or hand over cleanly. Output: a runbook.
A defined review with a report and a prioritised roadmap at the end.
A build or migration with agreed deliverables and acceptance criteria.
Ongoing operations with published response times and monthly reporting.