Transparent pricing for
data & decisions.
Every engagement starts as a fixed-price project so scope and the success metric are clear before any modeling begins. Most clients add a monthly retainer afterward for monitoring, retraining, and new analysis.
The Fixed Project
Scoped, modeled, and validated end to end.
Includes
Problem framing & data audit- Model / analysis build & validation
- Documentation & handoff
Retainer
Ongoing optimization & scaling.
Model monitoring & retraining
New analyses & dashboards
Priority support
The engagement pipeline
Discovery Call
Framing the decision & the data.
Scope & Proposal
Approach, success metric & fixed quote.
Delivery
Model / analysis build & handoff.
How this works
Why a project fee plus an optional retainer?
The project fee covers the initial work — framing the problem, the data, and building the model or analysis. The retainer covers what comes after: monitoring model performance, retraining as data drifts, and answering the next question as it comes up. You're never required to take the retainer, but most clients do once the model is live and driving decisions.
What determines my quote?
The shape of the problem — how clean and available the data is, whether it needs predictive modeling versus analysis, and how much of the pipeline (warehouse, features, dashboard) has to be built versus already exists. You'll get an exact number after a short scoping call, not a guess.
What kinds of problems do you take on?
Data science (prediction), data analytics (measurement and insight), and decision science (optimization) — pricing, marketing spend, forecasting, churn/LTV, lead scoring, and routing. If your problem looks like one of the projects, it's probably a fit.
Have a decision worth modeling?
Book a brief discovery call to talk through the problem and your data, and request a fixed-price quote.