End-to-end data and AI consultancy — from strategy and architecture through to production engineering, AI deployment, analytics, and cloud migration. Every engagement tailored to your goals, your stack, and your team.
Most data failures stem from the absence of a clear strategy, not technology gaps. We work alongside your leadership to assess maturity, understand objectives, and create a pragmatic roadmap that delivers results in the short term while building long-term capability.
We design and build end-to-end Azure data platforms using the modern Microsoft toolchain. Our metadata-driven approach makes your platform configurable rather than brittle — scalable from day one.
We handle batch and streaming on the same unified architecture: Spark Streaming on Databricks consuming from Kafka and Azure EventHub, alongside ADF batch pipelines. Unity Catalog governs lineage, access, and data contracts across the estate.
We build AI and machine learning solutions that are grounded in reality — your data, your constraints, your business goals. From classic predictive models to LLM-powered applications and computer vision systems, every solution we deliver is production-ready, explainable, and maintained.
We work across the AI spectrum: supervised and unsupervised ML, time series forecasting, natural language processing, retrieval-augmented generation (RAG) with Azure OpenAI, and custom fine-tuning where appropriate.
The best dashboard gets opened every morning and drives a decision before lunch. We build Power BI platforms grounded in a well-engineered semantic layer — one agreed definition for every metric, one place to find it, one team responsible for it.
Whether migrating a legacy on-premise estate or consolidating an AWS platform following an acquisition — we manage the complexity so your team doesn’t have to. Every migration includes an automated data validation and reconciliation framework. We don’t go live until we — and you — are confident.
The choices you make about data architecture today will either accelerate or constrain your business for years. We help you make those decisions with a clear-eyed view of trade-offs, total cost of ownership, and future AI and analytics capability requirements.
A consulting engagement should leave you more capable — never more dependent. Knowledge transfer is built into every project. For teams that need dedicated upskilling, we run bespoke training and coaching programmes grounded in your real platform and real challenges.
Programmes are hands-on, not slide-deck-heavy. Engineers work on real tasks, review real code, and take genuine ownership as the programme progresses. We also offer access to careerswerve.io for ongoing structured learning.