[ Services ]
Six practices. One team from strategy to scale.
Each practice stands on its own, and they are built to work together: the strategy shapes the data, the data feeds the AI, the infrastructure carries it, and the training makes it stick.
01
Data Strategy & Advisory
A data platform strategy and roadmap the business can fund, build and run.
Explore Data Strategy ›- Data Platform StrategyChoose the right platform for the decisions you need to make — and know why.
- Data Platform RoadmapA phased plan from today's data estate to the target platform, without a big bang.
- Data MethodologyThe standards and ways of working that keep a data platform consistent as it grows.
02
Data & Analytics
Trusted, governed data — engineered, migrated and turned into decisions.
Explore Data & Analytics ›- Data VisualizationDashboards and reports built around the decisions they support.
- Data GovernanceOwnership, quality, lineage and access — so data can be trusted and used safely.
- Data MigrationsMove data to modern platforms securely, completely and without disrupting the business.
- Data EngineeringPipelines, models and platforms that deliver reliable data at scale.
03
AI / ML
Generative AI, machine learning and the operations that keep them working in production.
Explore AI / ML ›- Generative AIAssistants, retrieval and agents that do real work with your enterprise knowledge.
- Machine LearningPredictive models built, deployed and monitored against business outcomes.
- DataOpsAutomated, tested, observable data delivery — the base every model depends on.
- MLOpsThe tooling and process to deploy, version, monitor and govern models at scale.
- LLMOpsEvaluation, monitoring and governance for large-language-model applications.
04
Migration & Modernization
Move applications and infrastructure to modern cloud platforms — securely and on plan.
Explore Migration ›05
Digital Infrastructure
Edge AI data centers, battery storage and renewable energy — planned as one system.
Explore Digital Infrastructure ›- Edge AI Data CentersModular AI compute placed close to the data and the people who use it.
- Campus Data CentersAI compute on university and institutional land, with its own power — and heat, water and skills returned to the campus.
- Battery System SolutionsBattery energy storage developed from site assessment to interconnection.
- Renewable EnergySolar and renewable projects taken through pre-development and development.
06
Workforce AI Training
Practical AI training for the people who will use it — from first awareness to leading adoption, with technical tracks for IT and developers.
Explore AI Training ›- AI AwarenessWhat AI is, what a large language model does, and how it is changing work, business and everyday life.
- AI FluencyHands-on AI for everyone who works in documents, spreadsheets or email — to get more done, safely.
- Applied AI by RoleTraining built for specific roles, taught on the workflows of that role.
- AI Implementation LeadershipFor the people who will lead AI adoption: strategy, governance and change.
- AI for IT TeamsAI for the people who run IT: automation, AI-assisted service desks and running AI tools safely.
- AI Code GenerationFor developers: building software with AI coding assistants and agents, without losing quality.
- Corporate Training ProgramsCohort programs for employers, delivered with institutional partners.