Custom Machine Learning Models
Predict, automate, and personalize with ML built for you—not the crowd. We solve your most valuable problems, end-to-end.
Get a Free ConsultationWhy Custom ML?
Off-the-shelf models only go so far. For unique business goals, competitive advantages, or unusual data, we develop tailored machine learning solutions that drive results—predicting, classifying, recommending, or automating at scale.
From scikit-learn and XGBoost to deep learning, we pick the right tools for your data and problem.
Where Custom ML Delivers Value
Image & Text Classification
Automate tagging, filtering, or sorting of images, documents, or messages—at scale, with accuracy.
Example: A media company builds an ML classifier to auto-tag articles and images, speeding up publishing and search.
Fraud Detection & Risk Scoring
Spot unusual transactions, prevent losses, or prioritize reviews—using ML tuned to your patterns, not someone else’s.
Example: An e-commerce company deploys a fraud model, catching novel scams that generic models miss.
Recommendations & Personalization
Serve up the right content, products, or offers—personalized for each user, with explainable logic.
Example: A streaming platform creates a custom recommendation engine, boosting watch time and user retention.
Predictive Maintenance & Forecasting
Predict failures or plan resources before issues happen, reducing downtime and costs.
Example: A manufacturer predicts equipment failures with custom ML, saving thousands in emergency repairs.
Our Custom ML Process
- Free Discovery Call: Tell us your goal and data. We’ll show you what’s possible, sample results, and provide clear pricing—no obligation.
- Data Health Check: We review your data for quality, completeness, and fit—flagging risks and opportunities.
- Model Design & Training: We select the right algorithms, engineer features, train, and validate custom models—documenting every step.
- Deployment & Handover: You get working models, code, documentation, integration guides, and support contacts for production.
- Optional Ongoing Monitoring: We offer quarterly monitoring, drift checks, and model retraining—keeping your ML current as your business evolves.
What You Need to Get Started
- Clear business goal and use case (classification, prediction, recommendation, etc.)
- Access to labeled data—ideally 1,000+ examples or events
- Sample variables/features and outcomes
- Willingness to sign a mutual NDA (your data, models, and outcomes are always protected)
Not sure if your problem is ML-ready? Most organizations have what they need to start—book a free consult and get a quick assessment.
Starter Pricing
- Pre-consult & Discovery: Free
- Typical ML/modeling project: $3,500 – $8,000
Contact us for a tailored quote—every model and workflow is built for your data, goals, and business priorities.