Services
Predictive intelligence
Demand forecasting, market trend analysis, and personalization engines that turn your data into decisions — so you're always one step ahead of the market.
What we model
Demand forecasting
Predict daily, weekly, and seasonal demand with 90%+ accuracy — optimize inventory, staffing, and purchasing decisions automatically.
Customer segmentation
Machine learning clusters your customers by behavior, value, and preferences — enabling targeted campaigns that actually convert.
Price optimization
Dynamic pricing models that respond to demand, competition, and inventory levels — maximizing margin without losing volume.
Churn prediction
Identify at-risk customers before they leave. Automated triggers reach out with the right offer at the right moment.
Market trend analysis
Track competitor pricing, review sentiment, and search trends in your vertical — spot opportunities before the market catches on.
Personalization engines
Product recommendations, content customization, and dynamic email content tailored to each customer's behavior and history.
Powered by AWS
Purpose-built ML services — no PhD required.
Amazon SageMaker
End-to-end ML platform for building, training, and deploying custom models. From notebooks to production endpoints in hours, not months.
Amazon Forecast
Time-series forecasting powered by the same technology Amazon uses for demand planning. Up to 50% more accurate than traditional methods.
Amazon Personalize
Real-time recommendation engines — product suggestions, content personalization, and search re-ranking tailored to each user.
Amazon Comprehend
NLP for sentiment analysis, entity extraction, and topic modeling. Understand what customers are saying across reviews and support tickets.
Amazon Bedrock
Foundation models for generative AI — product descriptions, customer support, and content generation integrated into your workflows.
Amazon CloudWatch
Model performance monitoring with automated drift detection. Alerts fire when prediction accuracy degrades, triggering retraining.
How it works
We turn your existing data into predictive models — no data science team required.
Data audit
We analyze your existing data sources — POS, CRM, web analytics, inventory — and assess what's usable today.
Model development
We build and train custom ML models on your historical data, testing against holdout sets to ensure real-world accuracy.
Integration
Predictions surface directly in your dashboards, apps, and workflows — not buried in a data scientist's notebook.
Continuous learning
Models retrain automatically as new data flows in. Accuracy improves over time, and we monitor for drift.
Ready to predict the future?
Book a free discovery call and we'll assess your data readiness and identify the highest-ROI predictive use cases for your business.