Lead Scoring & Sales Prioritization
Your sales team is spending time on leads that will never convert while high-value opportunities go cold. We build models that predict which leads are most likely to close, so your reps focus their effort where it actually moves revenue. The result is higher conversion rates, faster deal velocity, and a pipeline your team can trust.
Revenue & Demand Forecasting
Spreadsheets and simple trend lines only tell you where you’ve been. We build forecasting models that combine time series data with the tabular, behavioral, and text signals that actually drive your numbers forward. The result is forecasts that account for the full picture, not just the historical curve.
Custom Prediction Problems
Lead scoring and forecasting are where we see the most demand, but our approach is general-purpose. If you have data and something you want to predict, we can likely help. We’ve worked on problems ranging from churn prediction and customer lifetime value to decision automation or call/text classification. Whether you need to classify, rank, or predict an outcome, tell us what you’re trying to solve and we’ll let you know if it’s a good fit.
Our Method
1
Discovery
We start by understanding your business problem, not your data. What decision are you trying to improve? What would a good prediction actually change about how your team operates? Once we understand the outcome you’re after, we identify the data sources that matter and define the prediction target.
2
Data Ingestion & Preparation
We connect to your data wherever it lives: CRMs, data warehouses, spreadsheets, product analytics, support systems. Our framework handles schema detection, feature identification, and data preparation. You don’t need to clean or restructure anything on your end.
3
Model Building & Validation
We build your model, benchmark it against industry-standard baselines, and deliver clear evaluation metrics. You see exactly how the model performs, broken down by target and compared against simpler approaches, before anything goes to production.
4
Deployment & Integration
Once you’re confident in the results, we deploy the model to your cloud infrastructure (AWS, GCP, or Azure). Your model serves predictions in real time and integrates with your existing tools and workflows.
Let’s Talk.
- Every engagement starts with a conversation. Tell us what problem you’re trying to solve and we’ll let you know how we can help.
