Data your business can trust.
We build the platform your data lives in, so your team stops waiting on reports and starts asking questions. Delivered in weeks, not quarters. Every source included, legacy systems and all.
Built by engineers who worked at CNN, Whatnot, Cars.com, and Randstad, and who run the production operations software behind ShelfGenie and 101 Mobility.
Workflows, not chat sessions.
Most AI development is one person prompting in a terminal. Ours runs as a defined workflow, the same one every time, where the agent that checks the work is never the agent that did it.
Plan
Agents read the codebase in parallel and verify every external API against official docs. The plan gets drafted, then a panel of skeptics, one per technology involved, attacks it. A second model reviews. You approve before a line is written.
Build
Tests are written first and independently confirmed to be failing. Then the code. Then a separate agent verifies the tests actually pass, with none skipped or deleted.
Review
Code, security, and test reviews run in parallel. Findings get fixed, then re-reviewed by agents that didn’t do the fixing. A second model signs off at the end.
Ship
Lint, types, and the full test suite gate every commit. Then we drive the real app and confirm the change actually works, not just that the tests are green. CI is watched to green. You approve the merge.
Two human gates, the plan and the merge. Everything between them is machine work that a different machine checked.
What you actually get.
Concrete deliverables, not a strategy deck. Everything runs in your own cloud, on your stack.
Stood up fresh, or connected to the Snowflake or Databricks you already run.
Ingestion from every source, including the legacy systems nobody wants to touch.
dbt models and a semantic layer, with contracts and tests written as we build.
The dashboards and answers your team actually opens on a Monday.
How we engage.
Contract data engineering and analytics engineering inside your team. Senior, hands-on, one engagement at a time.
A data platform build, fixed price. Warehouse, pipelines, models, and the reporting layer on top, delivered in weeks.
We keep the platform healthy and keep shipping against it. Fixed monthly scope, not an hour count.
Agents are the last mile.
Once the foundation holds, agents on top are the easy part. The hard part is knowing when to trust one, so we measure it.
Agents answer from your vetted definitions, not a guess at what a column means.
We test against real questions with known answers, and publish the score.
We keep measuring in production, because your business changes.
Built to work with your stack.
We work on top of the systems you already run. We connect Snowflake or Databricks, or stand up a warehouse with dbt underneath. No migrations required.
Snowflake
Databricks
dbt
PostgreSQL
Python
TypeScript
Next.js
FastAPI
AWS
Azure
GCP
Pulumi
Terraform
Datadog
Sentry
Slack
Power BI
QuickBooks
HubSpot
Stripe