NEW: "IntegratedML Custom Models" Early Access Program -- Deploy Your Python ML Models in SQL

We're excited to announce the Early Access Program for IntegratedML Custom Models, a powerful new capability coming in IRIS 2026.1!

What Is It?

IntegratedML Custom Models extends the existing IntegratedML/AutoML feature by letting you deploy your own custom Python ML models directly within SQL queries. While IntegratedML AutoML provides automated machine learning, Custom Models gives you full control—custom preprocessing, any scikit-learn compatible model, and third-party libraries like Prophet or LightGBM—all executing in-database without data movement.

Why It Matters

• Full Control: Write custom preprocessing, feature engineering, and model training logic
• Same SQL Interface: Use familiar CREATE MODEL, TRAIN MODEL, and PREDICT() commands
• In-Database Execution: No data export/import cycles, real-time predictions on live data
• Works with AutoML: Use the right tool for each use case—AutoML for quick models, Custom Models for advanced scenarios

Quick Example

CREATE MODEL CreditRiskModel
PREDICTING (default_risk)
FROM CreditApplications
USING '{"model_name": "CustomCreditRiskClassifier", ...}'

TRAIN MODEL CreditRiskModel

SELECT customer_id, PREDICT(CreditRiskModel) as risk_score
FROM NewApplications

Who Should Join?

This is an open Early Access Program. Join if you:
- Have ML/data science experience with IRIS
- Want to deploy custom Python models in production
- Can dedicate ~10-15 hours over 8-12 weeks
- Are excited to shape the future of IntegratedML

What's Included

✅ 4 complete demo applications (Credit Risk, Fraud Detection, Sales Forecasting, DNA Similarity)
✅ Comprehensive documentation (installation, troubleshooting, API reference)
✅ Direct feedback channel to the product team
✅ Early access before IRIS 2026.1 GA release

Requirements

• IRIS 2025.2+ with IntegratedML installed
• Python 3.8+ (3.11+ recommended)
• macOS, Linux, or Windows
• Target: <30 minute installation

How to Join

1. Sign up: Visit https://evaluation.intersystems.com and register for the IntegratedML Custom Models EAP
2. Review the repository: https://github.com/intersystems-community/integratedml-custom-models
3. Get started: Follow the installation guide and start exploring

What to Expect

• Email interaction: The InterSystems Product team will engage with you via email throughout the program
• User survey: We'll ask you to complete at least one survey at the end of the EAP to share your experience and feedback
• Your feedback matters: Your input directly shapes the final product before GA release

Timeline

• EAP Launch: November 2025
• EAP Duration: 8-12 weeks
• Target GA: IRIS 2026.1 (Q2 2026)

Questions?

• Sign up: https://evaluation.intersystems.com
• Repository: https://github.com/intersystems-community/integratedml-custom-models
• FAQ: https://github.com/intersystems-community/integratedml-custom-models/blo...

Your feedback will directly shape this feature before it launches to all IRIS users!