Services
Engage a single practice or the whole chain. Either way you get senior engineers, transparent architecture, and systems your team can own.
Agentic services that actually know your business. We connect models to your proprietary data with retrieval, tools, and guardrails — then prove it works with evaluations before it reaches users.
Single-agent, multi-agent, and human-in-the-loop designs with explicit state, retries, and cost ceilings.
RAG over documents, warehouses, and APIs — chunking, embeddings, hybrid search, and permission-aware retrieval.
Model Context Protocol servers that expose internal systems to agents safely, with sandboxing and audit trails.
Golden datasets, regression suites, tracing, and drift alerts so quality is measured, not assumed.
Power BI, Looker, and Tableau done properly — from tenant setup and capacity planning to full platform migrations without losing a single trusted number.
Discuss a migrationWorkspace and capacity design, Fabric alignment, deployment pipelines, and DAX that performs on large models.
LookML as a governed semantic layer — version-controlled, tested, and reusable across dashboards and embedded apps.
Server and Cloud deployments, extract strategy, and design systems that keep dashboards fast and readable.
Inventory, rationalise, rebuild, and reconcile. We migrate between BI tools with parallel-run validation so numbers are proven equal before cutover.
One definition of every metric — encoded in data models, exposed through a semantic layer, and described by an ontology that both dashboards and agents can read.
Why it matters: agents are only as trustworthy as the definitions behind them. A governed semantic layer is what turns an LLM answer into an auditable one.
Dimensional models, data vault, and activity schemas built in dbt with tests, contracts, and documented grain. Bronze-to-gold layering that stays legible as the team grows.
Metrics defined once in dbt Semantic Layer, Cube, or LookML and served consistently to BI tools, notebooks, APIs, and agent tools — with governed access and caching.
A shared vocabulary of entities, relationships, and business rules. We formalise domain concepts so humans and models mean the same thing by "customer", "order", or "exposure".
Graph stores (Neo4j, RDF, or property graphs on the lakehouse) for entity resolution, lineage, and GraphRAG — giving agents relationship-aware context instead of loose text chunks.
Platforms that hold up under load, audit, and change — whether you're standardising on a vendor or building an open lakehouse you fully control.
Unity Catalog governance, Delta Live Tables, workflow orchestration, and cluster policies that keep spend predictable.
Warehouse sizing, RBAC, data sharing, and Snowpark pipelines — designed so credits track business value.
Open table formats on object storage with engines you choose — no lock-in, portable across clouds and on-prem.
Platforms that host both data workloads and software services — designed around your residency, sovereignty, and portability requirements rather than a single vendor's roadmap.
In-country, air-gapped, or regulated clusters with documented data residency, key custody, and audit evidence.
Managed clusters where speed matters most, bridged cleanly to on-prem systems and private networking.
One platform definition that runs on any provider — portable workloads for data engineering and software hosting alike.
Istio or Linkerd for mTLS and traffic control, Argo CD for declarative delivery, full-stack observability by default.
Landing zones, migrations, and day-two operations across the three major providers — with security and cost designed in from day one.
BigQuery, Dataflow, GKE, and Vertex AI — strong defaults for analytics-heavy and AI-first estates.
Control Tower landing zones, EKS, Glue, Redshift, and Bedrock with well-architected reviews.
Entra ID, AKS, Fabric, Synapse, and Azure OpenAI wired into enterprise identity and compliance.
A two-week discovery gives you an architecture, a roadmap, and a cost model — no commitment beyond it.
Book a discovery call