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We analyze your business processes and historical dataset availability to identify high-value prediction targets.
We clean, merge, and structure raw database records, engineering key predictive features on Databricks clusters.
We train and evaluate multiple models (XGBoost, Random Forests, LSTM) to select the most accurate algorithm.
We wrap the predictive model in a pipeline to automate daily or real-time scoring updates.
We import model scores directly into your CRM (like Salesforce) or ERP database for team action.
We track model accuracy using MLflow, setting up retrain alerts when input patterns diverge from training sets.
We believe in radical transparency. You'll always know where your project stands and what comes next.
Progress reports every week
Communicate with your team
Clear deliverable checkpoints
Complete technical handoff
Let's begin with a conversation about your project goals.