AutoML+

Still manually developing every model?

Anyone builds production AI now. iTuring AutoML automates everything: models, explanations, documentation. Deploy fast. Deliver impact.

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Trusted by leading banks and insurers. Built for regulated industries with comprehensive documentation support.

Deploy compliant, production-ready models in weeks - not months

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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.

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Every Algorithm. Every Use Case. Full Regulatory Support.

Feature

Time to Deploy

Algorithm Support

Regulatory Docs

Expert Control

2-6 hours

5 ML libraries

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
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Frequently Asked Questions

Does AutoML+ produce documentation aligned to SARB Guidance Note 4/2020?
Yes. Every model built in AutoML+ automatically generates documentation aligned to SARB GN 4/2020: champion-challenger history, explainability per step, feature importance, performance metrics, and full lineage, ready for Prudential Authority examination.
Yes. The platform produces independent validation packages per SARB GN 4/2020 Section 5 requirements, including out-of-sample testing, stress testing, and challenger benchmarks. Validation evidence is exportable for MRM committees.
Yes. AutoML+ generates plain-language explanations for every model decision, supporting TCF Outcome 1 (fair treatment) and Outcome 6 (no post-sale barriers). Every scoring decision can be explained to a customer or regulator.
SA credit bureau scores, payment profiles, and derived variables from any local bureau are treated as first-class features within AutoML+. Feature lineage tracks their use and contribution to each model for NCR compliance.
Thousands of AI agents compete to produce champions and challengers, and the platform documents comparisons and performance for SA data sets.
Yes. Credit models include affordability logic, transparent features and reasons codes compatible with NCA and NCR expectations.
It automates feature selection, algorithm search, hyper‑parameter tuning and validation, then produces ready‑to‑deploy, governed models.
Validation covers challenger comparison, out‑of‑time and stress tests, all packaged in exportable reports for model risk committees.
Yes. Users can configure SA‑specific economic and operational stress scenarios and capture the documented impact on model performance.
Yes. Models hand off directly to iTuring Model Ops for deployment into on‑premise and local cloud production environments in South Africa.
Martin L. Litabe
Sales Support Manager
Martin joined iTuring in July 2024, first as Business Development Support before stepping into his current role as Sales Support Manager.

He holds a Postgraduate Diploma in Business Administration with a Digital Transformation Lens from Johannesburg Business School, as well as a Finance Literacy certificate from the University of Johannesburg.

At iTuring, Martin works across the operational and commercial side of enterprise sales in Africa, ensuring that deals move from first conversation to signed contract with the same rigour the platform brings to AI deployment.
Ryan Blumenow
Business Development
Ryan is a senior analytics and business development professional with a background spanning international trade, infrastructure, and development economics.

He has held roles as Head of Analytics for Africa at AB InBev, Global Chief Data and Analytics Officer at Globalstratos Group, and Managing Director of Optimize Live, a specialised IT and strategy consulting firm.

He is pursuing a PhD in Economics and Gamification from the University of Cape Town. At iTuring, Ryan applies his research-led, quantitative approach to building the commercial case for AI adoption across African financial institutions.
Marc Beukes
Sales Director, Africa
Marc joined iTuring in April 2026 to lead sales across the African market, bringing nearly a decade of enterprise SaaS experience across supply chain governance, legal intelligence, and board governance software.

Before iTuring, he spent close to four years as Regional Sales Director EMEA at BoardEffect, a Diligent brand, selling governance and compliance tools to regulated institutions across multiple sectors.

At iTuring, Marc focuses on helping banks, insurers, and fintechs move from AI pilots to production, building relationships grounded in measurable business outcomes and regulatory readiness.
Tarika Bhutani

Senior Director – Sales and Marketing Operations

Tarika is a market development leader driving global growth through strategic partnerships and go-to-market initiatives.

 

She focuses on expanding enterprise adoption of AI solutions across international markets, working closely with partners and clients to enable data-driven transformation.

 

Her work centres on scaling enterprise AI through partner-led growth and direct customer engagement, supporting organisations in implementing impactful, data-driven solutions worldwide.

Vipin Johnson

Vice President – Customer Acquisition

Description Goes Here

Rajnish Ranjan

Vice President, Head – Data Science

Rajnish brings over two decades of experience leading data-driven transformation across Fortune 500 organisations.

 

His career spans senior roles at HSBC, Zafin, Cisco, TCS, Nielsen, iQuanti, Symphony, Supervalu, and Harman, delivering measurable cost savings, operational efficiencies, and revenue growth.

 

With experience across banking, retail, telecom, pharma, CPG, and digital marketing, he leads cross-functional teams at iTuring.ai to deliver advanced analytics, machine learning, and AI solutions.

Aishwarya Hegde

VP Operations & Content Head

Aishwarya has been instrumental in building iTuring.ai from inception and continues to manage core operations across the organisation. Her responsibilities span project operations, financial planning, and evaluating future expansion opportunities.

 

Prior to iTuring.ai, she worked with Market Probe and WNS Research & Analytics, delivering high-impact decision support and actionable analytics for IBM with a record of zero errors.

 

Aishwarya holds a postgraduate degree in Data Science and Machine Learning from Manipal University.

Bryan McLachlan

Managing Director – Africa

Bryan has 30 years of experience driving innovation and growth across technology, banking, insurance, and retail.

 

Prior to iTuring.ai, he held executive leadership roles at Instant Life, AIG, Nedbank, FNB, and TransUnion. He focuses on enabling enterprises to adopt AI and machine learning within trusted, governed, and risk-managed frameworks.

 

Bryan holds a Master’s degree in Commerce from the University of Johannesburg.

Mohammed Nawas M P

Co-Founder, VP Product Development

Nawas brings 20 years of experience in designing and delivering cloud-native software and data systems. He has held senior technology roles at HCL, Radisys, Kyocera, and Mindtree, leading large development teams and complex product builds.

 

At iTuring.ai, he oversees product roadmap and customer delivery, applying cloud-first thinking, deep systems expertise, and a focus on building robust, scalable AI solutions that challenge industry norms.

 

He is a graduate of Rajiv Gandhi Institute of Technology.

Amit Kumar
Co-Founder, VP Product Engineering

Amit is a technology architect with over 18 years of experience designing data-intensive systems and enterprise analytics platforms. He has built highly scalable products across open architecture models and virtualised infrastructure, aligning deep technical detail with business requirements for AI and ML solutions.

 

Prior to iTuring.ai, he held senior technical roles at Radisys and Aricent. Amit leads platform architecture with a focus on governance, lineage, and traceability.

 

He holds a First Class with Distinction BTech in Computer Science from Cochin University.

Valsan Ponnachath

President, COO and Co-founder

Valsan brings over two decades of global leadership across sales, professional services, and product operations in technology and SaaS enterprises.

 

Prior to iTuring.ai, he held senior executive roles at Fiserv, Cisco, and Sun Microsystems, most recently serving as Senior Vice President at Fiserv overseeing global system integration and international professional services. Based in California, he leads iTuring.ai’s growth in the Americas.

 

Valsan holds an MBA from the University of Nebraska and a BE in Computer Science from Bangalore University.

Suman Singh

Founder & CEO

Before founding iTuring.ai in 2018, Suman led analytics at Zafin and Fiserv as CAO and General Manager Analytics, delivering enterprise-scale solutions still running in production.

 

His work includes fraud detection systems saving clients over $19M, patented Customer Relationship Score methodology, and price optimisation recognised by the INFORMS Edelman Award (2014). He has authored multiple research papers and pioneered the data-to-value approach.

 

Suman holds a Master’s in Statistics from CCS HAU and a Bachelor’s in Agricultural Engineering from BHU.