Decision intelligence, not dashboards.
Modern data stack, semantic layer, self-serve analytics and executive intelligence — engineered so leaders make better calls, not just see more charts.
One source of truth, every team aligned.
Most enterprises have dashboards. Few have decision intelligence. We architect the semantic layer, the metric definitions and the executive surfaces that make the data trustworthy enough to bet on.
Six capabilities. One operating system.
Warehouse Architecture
Snowflake, BigQuery, Databricks, Redshift — modeled for analytics and ML.
Semantic Layer
One metric, one definition — across BI tools, AI assistants, embedded analytics.
Executive Dashboards
Board-ready intelligence: weekly business reviews, board decks, investor updates.
Self-Serve Analytics
Governed exploration for business teams without filing tickets.
Embedded Analytics
Customer-facing dashboards inside your product, with multi-tenant security.
AI Analytics
Natural-language exploration grounded in the semantic layer — accurate, not hallucinated.
From kickoff to compounding outcomes.
Audit
Current stack, metric definitions, decision processes.
Model
Warehouse architecture, semantic layer, governance.
Build
Pipelines, transformations, dashboards, AI surfaces.
Adopt
Roll out with training, change management, weekly usage tracking.
Evolve
Quarterly refresh as the business and metric set evolve.
Where this earns its keep.
Executive intelligence
One weekly business review the entire org runs on.
Modern data stack rollout
Snowflake / BigQuery + dbt + Looker / Tableau / Hex on a single semantic layer.
Customer-facing analytics
Embedded dashboards in your product with row-level security and white-labeled UX.
Conversational analytics
AI-driven natural-language analytics grounded in the semantic layer, not free retrieval.
Frequently asked
Audit your decision stack.
A 60-minute review of your current BI stack, semantic layer maturity and the three plays that would compound trust fastest.