We're a small, senior team that builds production data platforms, analytics, and ML systems for companies that treat data as infrastructure — not a dashboard.
We staff each engagement with senior engineers who own the system end-to-end — no handoffs between strategy, build, and run.
We design and build production data platforms on Databricks and open table formats — medallion architectures, streaming pipelines, governance baked in from day one.
Applied AI — not demos. Retrieval systems grounded in your data, multi-step agents with tools and guardrails, and classical ML wrapped in the same evaluation and monitoring discipline.
Semantic layers, metric stores, dashboards that answer the next question instead of raising it. We treat BI as a product with users — not a backlog of chart requests.
Platforms are only as good as the week-three on-call rotation. We set up observability, contracts, and runbooks so your team sleeps through most incidents.
No slide-heavy kickoffs. No junior rotations. We start with a two-week architectural review, then ship in 4–6 week increments with a single senior lead.
We read the code, the dashboards, and the incident log. You get a written assessment — what to keep, what to retire, what to rebuild — with cost and risk for each.
Platform basics in place: environments, CI/CD, lineage, observability, access model. First real pipeline in production by week six.
4–6 week increments, each with a measurable outcome — a migrated workload, a shipped model, a retired legacy system. Written retros every cycle.
Every engagement ends with your team owning the platform. Runbooks, architecture docs, training sessions, and a 90-day tail of async support.
Representative engagements across healthcare, capital markets, logistics, and life sciences. Deeper write-ups on request.
Migrated a 2.1 PB Teradata footprint to a Databricks + Snowflake lakehouse for a US regional health system. Cut nightly refresh from 9 hours to 22 minutes; unblocked a care-gap ML program that had been stalled for 18 months.
Designed a streaming risk platform on Structured Streaming + Delta, with a semantic layer feeding both the PM desk and regulators. Portfolio-level VaR recomputes in 600ms on intraday ticks.
Built a hierarchical demand forecast for a North American 3PL covering 340 lanes. Embedded into the existing planning tool rather than a new dashboard — adoption hit 91% of planners in the first quarter.
Two weeks, fixed fee, written deliverable. If we're not the right team for the build, we'll tell you — and often point you to someone better suited.