Thirteen services.
One delivery model.
Data, Analytics and AI, under one bar. You can buy a single service or the whole stack. The discipline doesn't change either way.
Data.
The foundation. The estate, the pipelines, the rules.
Data Management.
The unglamorous layer that decides whether everything above it is trustable. Source systems, catalogue, ownership, retention.
Data Aggregation.
Pull from every system that matters, land it in one trusted place, and keep it fresh. ETL, ELT, change-data-capture, the works.
Data Engineering.
Bronze → Silver → Gold medallion on Databricks, dbt + Airflow, lineage you can audit, PII masked at source.
Governance.
Access control, lineage, retention and PII handling, not as policy theatre, but as code that runs at every step.
Data Helpdesk.
Embedded support for the data team. Triage, ticketing discipline, the boring monthly hygiene that keeps trust intact.
Analytics.
The decision layer. Dashboards, design systems, applications.
Superset Analytics.
Apache Superset done right. Migration off licensed BI, custom charts (waterfall, mekko, whale), theming, embedding, alerts.
Custom Analytics.
Decision-grade dashboards calibrated to how your leaders actually call shots. Margin variance waterfalls, pipeline Sankeys, AI annotations.
Data Applications.
Beyond dashboards. Operational tools your teams use daily, pricing consoles, ops command centres, customer intelligence apps.
Data Visualization.
A design system for analytics. Charts a CFO recognises, an interaction model your users learn once, accessible at every breakpoint.
AI.
Built on Claude. Agents, applications, automation, governance.
AI Agents.
Built on Anthropic Claude. Watch a dataset, surface anomalies and opportunities, trigger actions when you allow them. Lineage, confidence, kill switch on every signal.
AI Applications.
Claude-powered apps wired into your stack. Text-to-SQL, document understanding, customer-facing copilots, internal knowledge workers.
Automation.
When the agent is right, the action follows. Approvals, ticketing, downstream system writes, wired with the same lineage that flagged the signal.
AI Governance.
Model choice as code (Sonnet · Opus · Haiku), prompt-versioning, evaluation harnesses, kill switches. Audit-ready AI from day one.
Score your stack in 10 minutes.
Thirty yes/no questions. Honest verdict by band. Then one 30-min audit call to decide which two services move the needle this quarter.