End-to-end lineage01 / 06
Data pipelines
Streaming and batch with backpressure and replay; idempotent transforms that never double-count.
Solutions
Data Science & Analytics
Pipelines with lineage, forecasting that holds through seasonal noise, and numbers you can trace back to the source.
Data Science & AnalyticsOverview / Solutions
End-to-end lineageEngineering practice · est. 2018
Where did this number come from? One click.
Streaming and batch pipelines, schema-enforced at the seams, with backpressure, replay and end-to-end lineage — on Snowflake, Databricks and BigQuery — so analytics, forecasting and ML all read from data the business can trust.
For a 1,200-store retailer, a hierarchical forecast at SKU × store × season replaced a model that rounded the long tail up to safety stock. The result: −18% inventory holding and forecast variance halved on long-tail SKUs.
- End-to-end lineage
- Hierarchical forecasting
- Drift-aware, targeted retraining
What it includes
What this enables for your business
today and tomorrow.
The expertise and workflows that make this solution useful in practice.
02 / 06
Lineage + governance
End-to-end lineage, so every metric has a one-click answer to where it came from.
03 / 06
Hierarchical forecasting
SKU × store × season, with long-tail SKUs borrowing strength from their category and region.
04 / 06
Causal signals
Weather, macro, promo calendar and regional events, with lags searched per category.
05 / 06
Reconciliation
Store totals add up to chain totals, so planners can trust any single level of the forecast.
06 / 06
Per-SKU drift
Drift scores flag only the SKUs that need a retrain — without touching the rest of the hierarchy.
How we work
Filed publicly, on the record.
The principles every data science & analytics engagement runs by — published so partners know what to expect, and what to expect us to refuse.
- 01
We engineer; we don’t deck.
Work shows up as code, infrastructure and shipped systems. Slides arrive late, if at all.
- 02
One SOW. One team.
No subcontractor cascade. The engineers you meet on day one write the code on day ninety.
- 03
We ship our own products first.
Every Labs product was paid for by us before it was sold. We don’t pitch what we haven’t bet on.
- 04
We say so when we’re not the right fit.
If your problem belongs elsewhere, you’ll hear it on the first call — not the third.
Discover more
Capabilities, services and
case files behind it.
The same engineers behind every capability — not siloed teams handing work over walls.
Capability
Data & Intelligence
Turning enterprise data into shipped intelligence — pipelines, ML Ops, LLMs, agents and computer vision.
Service
Data Science & Engineering
Streaming and batch pipelines with end-to-end lineage, feeding analytics and forecasting.
Case file · Retail
Aisle 19
Hierarchical demand forecasting for long-tail SKUs — −18% inventory holding, forecast variance halved.
Open a file
Bring the problem. We bring the senior practitioner.
SLA-bound, with an average reply under 24 hours — and no four-call qualifier before the real conversation.
File a brief