Services

Seven ways in. One standard of proof.

Every service line ships the same way: reproducible, documented, and handed over so your team can run it without us. Most engagements combine two or three lines, and all of them run on Polygon, which means the work arrives with its receipts: sources named, steps logged, results a person has reviewed and signed. If a project does not need AI, we will tell you that too.

01

Data Foundations

The layer everything else depends on. We design and stand up ingestion, storage, and quality controls so your data lands in one place, validated and query-ready. Deliverables: a working data store, automated ingestion pipelines, validation rules, and documentation your team owns. Explore Build & Automate →

AWS S3 · RedshiftDuckDB · PostgreSQLPython · Polars
02

Data Strategy

An architecture and a roadmap, not a slide deck. We assess what you run today, identify the gaps, and lay out a phased plan for warehouse, pipelines, and governance sized to your operation. Deliverables: target-state architecture, a sequenced build plan, and a governance model.

Snowflake · RedshiftLakehouse · WarehouseGovernance
03

Analytical Engineering

The models and interfaces that turn raw data into something a decision-maker reads at a glance. Deliverables: production dashboards, KPI frameworks, analytical models, and the data models behind them, built in your stack and version-controlled.

Power BI · PythonSQL · dbtStreamlit · Plotly
04

Optimization & Decision Modeling

When the answer is a search across millions of feasible options, scheduling, blending, routing, capital allocation, intuition isn't enough. We formulate and solve it. Deliverables: linear, mixed-integer, and constraint models with the trade-offs made explicit, plus simulation where the dynamics matter.

Pyomo · PuLPGurobi · HiGHSGoogle OR-Tools
05

AI Integration

Our Polygon™ engine pairs a frontier AI core with deterministic, audited processing to read your data and documents, structure them, and produce analysis at a pace a manual team can't match, every step logged and checkable. Deliverables: document-understanding pipelines, decision-support tools, and real-time intelligence wired into your workflows. The final call stays with your people. Explore AI Integration →

AWS BedrockAnthropic · OpenAIPyTorch · scikit-learn
06

Proprietary Data Products

Reusable assets, not one-off reports. We build curated, enriched datasets and packaged analytical products around your data and the external signals that sharpen it. Deliverables: maintained data products and the automation that keeps them current, so the value compounds after the engagement ends.

Curated · EnrichedAutomated refreshPackaged
07

Embedded Analytics Teams

A senior analytics function without the headcount. We operate as your team, accountable to defined outcomes on a quarterly retainer. Deliverables: ongoing analysis, dashboards, automation, and decision support, with senior practitioners who know your business, not a rotating bench.

Quarterly retainerSenior practitionersOutcome-based
How it works

Start with Discovery. Scale on proof.

Every engagement opens with a paid Discovery: a focused diagnostic that defines the real problem, the data on hand, and what success looks like. You leave with a concrete proposal. Where it goes from there depends on how far along your data is.

ANALYZE

Your data is ready

You already have solid data. We step straight in, run our process, and pull out the answers it's been holding.

BUILD

Your data needs building

The data isn't there yet, or isn't usable. We design and build the collection and foundation first, then analyze.

INTEGRATE

Into your systems

The work has to live in your environment. We integrate our models and tooling directly into the systems you run.

Tell us about the decision you're facing.

If the work isn't a good fit for us, we'll say so, and point you to someone who is.

Start a conversation