AutoML+
Still manually developing every model?
Anyone builds production AI now. iTuring AutoML automates everything: models, explanations, documentation. Deploy fast. Deliver impact.
Trusted by leading banks and insurers. Built for regulated industries with comprehensive documentation support.
Deploy compliant, production-ready models in weeks - not months
Higher
Approvals
Weeks vs
Months
Collection
Boost
Revenue
Impact
*5 Spots Left This Week
Banks and insurers using iTuring Auto ML report measurable impact in operational efficiency, compliance, and growth.
How Automation Handles Your AI Lifecycle
Connect
AI agents clean and prepare your data (Any source, any format. Automated data treatment)
Select
Intelligent feature selection runs automatically (FCDS algorithm identifies optimal features)
Build
ML model development at scale (Algorithms compete. Hyperparameter optimization)
Deploy
Production ready in a few clicks (Java, PMML, or API with audit documentation)
Minimum Risk. Maximum Control. Proven Results.
No Vendor Lock-in
Export models as Java, PMML, or API
Regulatory Compliant
Built-in audit trails and documentation
Expert Override
Manual control when you need it
Existing Infrastructure
Works with your current systems
Choose Your Speed: Instant or Customized
Automated Mode
Single-click transforms raw data into production models. Perfect for business analysts and time-pressed teams.
Expert Mode
Manual control over feature selection, sampling, missing treatment, outlier handling, transformations, and hyperparameters.
Every Algorithm. Every Use Case. Full Regulatory Support.
Feature
Time to Deploy
Algorithm Support
Regulatory Docs
Expert Control
2-6 hours
8 major algorithms
Automated
Full override
Manual
3+ months
Limited by team
Manual creation
Complete
Other AutoML
2-4 weeks
3-5 algorithms
Limited support
Restricted
Limited Time Offer
- Dedicated implementation team
- Custom regulatory compliance evaluation
- Priority support through launch
- Free pilot of the iTuring Collections Agent
Frequently Asked Questions
What is Auto ML and how does it work?
Auto ML (Automated Machine Learning) automates your machine learning pipeline, from data preparation and feature engineering to model selection, tuning, and deployment. iTuring Auto ML enables rapid, audit-grade model deployment with built-in compliance support.
How much does Auto ML cost compared to hiring data scientists?
iTuring Auto ML typically delivers measurable ROI both in reduced project timelines and total cost of ownership compared to expanding in-house data science teams. Pricing details available on request.
Is Auto ML suitable for regulated industries?
Yes. iTuring Auto ML is designed for regulated industries, supporting audit trails, automated documentation, and explainability features as required by compliance teams.
What algorithms does iTuring Auto ML support?
iTuring supports major machine learning algorithms including XGBoost, Random Forest, Neural Networks, Logistic Regression (L1/L2), Stochastic Gradient Boosting, Light Gradient Boosting, and Naive Bayes for classification, regression, and anomaly detection.
Can Auto ML replace our existing data science team?
No, Auto ML augments your team by automating routine tasks. Your data scientists can focus on strategy, business insights, and advanced model interpretation while Auto ML handles the repetitive work.
How long does Auto ML implementation take?
Full implementation typically takes 30-60 days, including data integration, team training, and first deployment. The pilot program enables model building within a few days of setup.
Does Auto ML work with existing data infrastructure?
Yes. iTuring connects to SQL databases, NoSQL systems, Blob Storage, S3, HDFS, JSON files, and CSV uploads through pre-built connectors.
What's the difference between iTuring and other Auto ML platforms?
iTuring is built specifically for regulated industries, with comprehensive audit trails, documentation, and override by domain experts. It offers enterprise-grade security and industry-specific templates.
How do I justify Auto ML investment to my CFO?
Our team will be happy to help you calculate ROI and build the business case to provide a clear view of average payback periods and total cost of ownership, supported by case studies.
What support is available during Auto ML implementation?
Each client receives dedicated implementation and support, including a solution architect, data scientist, and customer success manager.
Is Auto ML secure enough for financial services data?
Yes. iTuring meets major financial services security requirements and can be deployed on-premise or in a private cloud. All data processing is encrypted at rest and in transit.
