Platforms & partnerships

The tools and partners behind the work

We're platform-fluent, not platform-married. Here's where we have the deepest scars and the best stories.

Domo

Deep, unglamorous expertise — we've lived in Domo for years.

Custom in-browser apps: a 10,000-property scoring engine (DuckDB WASM) and agentic natural-language-to-SQL on Domo's AI framework
Validated executive BI — backlog, AOP variance, and KPI suites on NetSuite and Snowflake data
Migrations to and from Domo, plus consumption-credit optimization that heads off overages before renewal
Productized tools: Cleanup, Disaster Recovery, PII Finder, and Replicator

The warehouse layer

Snowflake, BigQuery, Databricks & Redshift — governed, tested, version-controlled.

Layered medallion (bronze/silver/gold) builds in dbt and Dataform
Validated migrations with per-table row-count reconciliation (548 tables, zero data loss)
Cost-aware design: partitioning, clustering, and re-platforming that scales with margin, not against it

Anthropic

Production applications built on Claude — with trust engineered in.

Vision-AI document intelligence with provider-switchable models and provenance-aware RAG (every answer cites its source)
LLM-judge pipelines benchmarked against human graders before they ship
And yes — this very site was built with Claude

Observability

Data observability so problems surface before your executives do.

Data quality, freshness, and volume monitoring (Monte Carlo and native checks)
End-to-end lineage to trace issues to their source
Automated tests and reconciliation baked into every pipeline we hand off