Auto ML
Still manually tuning every model?
Audit-grade AI anyone can build. iTuring Auto ML automates model building, tuning, and documentation—so you deliver business impact, fast.
Trusted by leading banks and insurers. Built for regulated industries with comprehensive documentation support.
Measurable Business Impact
Deploy compliant, production-ready models in weeks - not months
80%
Higher Approvals
Weeks vs Months
39%
Collection
Boost
2M+
Revenue
Impact
*Limited Slots
Banks and insurers using iTuring Auto ML report measurable impact in operational efficiency, compliance, and growth.
The Automation Process
How Automation Handles Your AI Lifecycle
Connect
Upload your data instantly (Any source, any format)
Compete
Algorithms compete for best performance (XGBoost, Random Forest, Neural Networks, more)
Crown
Best model selected automatically (Leaderboard highlights the champion)
Deploy
Production-ready in a few clicks. (Java, PMML, or API - your choice)
Platform Capabilities
Zero 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
Pick Your Mode
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 sampling, missing treatment, outlier handling, transformations, and hyperparameters.
iTuring vs Others
Every Algorithm. Every Use Case. Full Regulatory Support.
Feature
Manual
Other AutoML
Time to Deploy
2-4 Weeks
3+ months
Algorithm Support
Limited by team
3-5 algorithms
Regulatory Docs
Manual creation
Limited support
Expert Control
Complete
Restricted
2-6 Hours
8 major algorithms
Automated
Full override
What You Get
Limited Time Offer
- Instant access to 25,000 ready-to-use features
- 250 pre-built data connectors
- Complete audit trails and governance
- Feature-as-a-Service API deployment
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?
Is Auto ML secure enough for financial services data?
A: 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.