We build data infrastructure and analytics tooling for product, marketing, and operations teams — from event instrumentation to warehouse to dashboards and ML pipelines.
From raw events to decisions.
Data pipelines that aren't scripts that break on weekends.
Real engineering. Real SLAs. Real data observability.
Most data problems aren't SQL problems — they're engineering problems. Schema changes, silent failures, drift, backfill complexity. We treat the data stack like any other production system: typed contracts, tests, monitors, runbooks.
Every engagement ships with data lineage, dbt tests on every model, freshness SLAs, and PII classification baked into ingestion.
Product-first data thinking.
Start from the decision you need to make, then build backward.
Most data stacks fail because they're built top-down — ingest everything, model later, hope someone can answer questions. We start from the specific decisions your team needs to make weekly and work backward to the data that informs them.
Reverse-ETL: close the loop.
Clean data isn't useful locked in a warehouse.
Reverse-ETL pipes computed values back into the tools your ops team actually uses — Salesforce, HubSpot, Intercom, Stripe. We wire this as part of the initial build, not a phase 2.
What we ship in this practice.
Modern data stack · from scratch
Fivetran + Snowflake/BigQuery + dbt + Looker in 6–8 weeks. Production-ready, not a POC.
Event tracking done right
Typed event schemas, version-controlled, PII-safe. Your PMs answer their own questions in Amplitude/PostHog.
Reverse-ETL rollout
Pump clean data back into Salesforce, HubSpot, Stripe, Intercom. Ops teams work on fresh numbers.
ML pipeline build
From notebook to production ML. Feature stores, model serving, monitoring, drift detection.
Dashboard overhaul
Replace spreadsheet dashboards with self-serve BI. PMs and execs answer their own questions.
Data governance
PII tagging, access controls, retention policies, DSAR tooling. GDPR / CCPA / HIPAA compliant by design.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Tools we trust.
Data for your context.
Tailored entry points by industry vertical or US metro - each page is hand-tuned with the right keywords, compliance, and case studies.