Modern data stacks, run by AI-augmented teams.
We migrate teams onto dbt Cloud, cut dbt runtimes by 50%+, build Airflow DAGs that don't page you at 3am, and ship Slack-native AI agents that connect your whole stack.
Likely cause: stale source shopify.orders (last sync 47 min ago, expected ≤ 15 min).
Stacks we work in
- Snowflake
- BigQuery
- dbt Cloud
- dbt Core
- Airflow
- Sigma
- Hex
- Redshift
- Databricks
- Postgres
Our consultants have worked with Nike, Kaplan, Gopuff, Disney, Hulu, and Peloton.
What we ship
Seven focused offerings — each one is something we've shipped in production for real teams.
dbt Cloud Migration
Off self-hosted dbt-core, Airflow-orchestrated runs, or legacy ELT.
We move you onto dbt Cloud with CI, environments, exposures, and orchestration wired up — in weeks, not quarters.
Read moredbt Repo Performance
Audit, refactor, and re-shape your repo for speed and cost.
We audit every model, rewrite slow ones with incremental + microbatch strategies, prune unused exposures, and turn 4-hour runs into 40-minute runs.
Read moreAirflow DAGs
Production DAGs with retries, SLAs, on-call routing, and observability.
We build new Airflow DAGs from spec or harden the ones you already have — with retries, SLAs, smart sensors, and on-call routing baked in.
Read moreSlack AI Agents
Alerting, ad-hoc analysis, and report generation — from a thread.
Custom Slack bots that read your warehouse, watch your GitHub, draft PRs, generate weekly reports, and alert on anomalies — all from a thread.
Read moreTraining & Enablement
Hands-on bootcamps for analytics engineers and AI-native operators.
dbt Cloud bootcamps for your team plus AI upskilling: how to prompt, when to trust agents, and how to ship faster than you thought possible.
Read moreInternal AI Platforms
Slack-AI that connects every integration you have.
We build the internal AI platform your team will actually use — connected to GitHub, Jira, Snowflake, Notion, Linear, and Slack. Writes code, reviews PRs, generates reports, runs ops workflows.
Read moreBusiness Health Reporting
Warehouse setup, source integration, and dashboards that show real business health.
We stand up the database, pipe in your sources (Stripe, QuickBooks, HubSpot, GA, your app DB), and ship a starter dashboard your leadership team will actually open every Monday.
Read moreWhat clients walk away with
A simple, repeatable shape
Same shape every time. Adjusted depth based on what your stack actually needs.
- 01AuditTwo weeks. We read every model, DAG, dashboard, and Slack workflow. You get a written report with a prioritized backlog and rough sizing.
- 02RefactorWe do the deep work: incremental strategies, repo restructuring, DAG hardening, dbt Cloud setup. Continuous PRs you can review.
- 03AutomateSlack agents, alerts, report bots, and AI workflows wired into the systems we just cleaned up. Tested, evaluated, and shipped.
- 04TrainWe hand off with documentation, runbooks, and live training so your team owns it. Optional retainer for ongoing partnership.
Frequently asked
How fast can you start?
Most engagements kick off within 2 weeks of a signed SOW. Audits can start sooner.
Do you work on a retainer or project basis?
Both. Most clients start with a fixed-scope project (audit, migration, or build) and roll into a part-time retainer once the system is in production.
Do you do international engagements?
Yes. We work with US, EMEA, and LATAM teams. Async-first, with synchronous overlap windows.
What warehouses do you specialize in?
Snowflake and BigQuery primarily. Also Redshift and Databricks. Postgres / DuckDB for smaller teams.
Can you sign an NDA?
Always. NDA before any specifics get discussed.
Tell us what's slowing your data team down.
We maintain a small client roster on purpose. If we're the wrong fit, we'll say so — and usually we know somebody who isn't.
- Replies within 2 business days
- NDA before specifics
- Fixed-scope first engagement, retainer if it works