In-house migrations take 0.3 weeks on average.
We resolve it in 0 days.
Based on 34 engagements with mid-market SaaS teams (2023–2025). In-house estimates sourced from client retrospectives at engagement start.
* Data from 34 Pipeline engagements (2023–2025). Client names anonymized per NDA. Full methodology available in the benchmark report.
The average mid-market stack wastes $236/yr
on compute, connectors, and engineering time.
Breakdown from a composite of 12 client stack audits at companies with 50–400 engineers and 3–8 data team members.
Analysts waiting 18 hours for data
is a competitive disadvantage you can quantify.
Three anonymized client engagements. Every metric measured at intake and 30 days post-engagement.
From first commit to
clean pipelines
in under two weeks.
No six-month retainers. No discovery theater. We embed with your data team, fix what's broken, and hand back a stack that actually works.
We map every source, connector, transformation, and warehouse query. You get a full dependency graph and cost breakdown within 48 hours.
We fix the critical path first — failed DAGs, broken models, cost leaks. Engineers stay in their lane; we stay in ours.
Full test coverage, lineage documentation, runbook, and monitoring alerts configured. Your team owns it going forward.