What is it?
Machine Learning Projects are tailor-made solutions where we apply machine learning to a concrete business decision: predict purchase propensity and churn, segment the base, recommend next steps, forecast demand. We handle it from problem to deploy (data engineering, modeling, validation, and integration), with interpretability and a focus on return.
In machine learning, the model that matters is the one that leads to the best decision.
Who it is for
Data, analytics, growth, CRM, risk, and product teams that have a recurring decision or a data volume that calls for automation and prediction.
What we answer
Anticipate behavior (purchase, churn, demand)
Prioritize effort and budget with a predictive score
Automate recurring decisions with confidence
Gain interpretability instead of a black box
From prototype to deploy, with maintenance
Problem definition and success metric
Data engineering and features
Modeling, validation, and out-of-sample testing
Interpretability reading (what matters and why)
Deploy, monitoring, and maintenance plan
We start from the business decision and the success metric, prepare the data, train and validate the models, and integrate the result into your flow, with interpretability and continuous monitoring.
Formats: Tailor-made project or allocated squad. Can run on Levers (no-code) when applicable.
We turn data into decisions, with method and transparency.
Brands that trusted Okiar to answer their business questions


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Explore the solutionWhat challenge can we help you with today?
Request your quote and transform your business based on data. With tailor-made solutions, our team will help you turn information into strategy.