ML Ops 

Ship production models today, not next quarter.

iTuring ML Ops turns any model into a secure, governed endpoint in seconds-with approvals, lineage, rollback, and audit packs built in.

Watch it in Action

Trusted by leading banks and insurers. Built for regulated industries with audit-ready governance.

Numbers that move roadmaps.

Seconds to live endpoint

Python – R – TF – Spark – SAS – one governed process

Real-time APIs & scheduled batch scoring

Approvals – Lineage – Rollback – Audit reports

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One governed flow - load, deploy, scale, govern

Load

Upload internal or external models; auto-detect framework and dependencies.

Deploy

Containerize and publish REST or batch with sample payloads and docs.

Scale

Autoscale for real-time; schedule large nightly batch runs.

Govern

Versioning, maker-checker approvals, live vs shadow, rollback, audit history.

Production without panic.

Maker-checker approvals and safe promotion/demotion.

Full evidence trail with lineage and downloadable reports.

Thresholds and alerts for model health.

Real-time, batch, and safe iteration.

Real-time REST endpoints with autoscaling.

Scheduled batch scoring for very large datasets.

Champion-challenger traffic split and one-click rollback.

Built for regulated industries - what that means.

Feature

Governance
(approvals, lineage, audit)

Frameworks supported
(Py/R/TF/Spark/SAS)

Deploy paths
(API + Batch)

Rollback / Shadow releases

Model Ops

Native, standardized

Universal, single workflow

Both first-class

One-click, no downtime

Generic Serving

Partial

Narrow set

API-only

Limited

Manual Ops

Spreadsheet-
driven

Varies by team

Ad-hoc scripts

Risky

Built to pass bank and insurer scrutiny.

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Frequently Asked Questions

Can iTuring deploy models on South African on-premise infrastructure or local cloud environments?
Yes. iTuring supports on-premise deployment, private cloud (AWS Africa, Cape Town region; Azure South Africa North), and hybrid configurations. Data sovereignty, keeping all customer data within South Africa, is fully supported for POPIA and SARB compliance.
SARB GN 4/2020 requires documented change management for model deployments. iTuring’s maker-checker approval gates, version control, blue/green deployment, and rollback capabilities provide a complete audit trail per SARB change management standards.
Yes. The platform exposes versioned API endpoints compatible with major South African core banking and decision platforms including Temenos, SAP, and FIS. Custom connectors are available for systems used in the SA market.
The platform enables configurable thresholds for drift, accuracy degradation, and population shift, triggering automated alerts and retrain recommendations aligned to your SARB GN 4/2020 model review calendar.
All scoring, logging and lineage remain in‑country, and every deployment and prediction event is auditable for POPIA and SARB.
It standardises deployment pipelines, monitoring and rollback across dozens or hundreds of models so scale does not erode governance.
Yes. It is built for low‑latency, high‑throughput scoring suitable for PayShap and similar real‑time rails.
Continuous drift metrics and alerts provide the evidence needed for periodic reviews mandated by SARB.
Yes. Blue/green deployments let banks cut over to new models without downtime and roll back if needed.
They can revert to prior versions in one click, with rollback actions fully logged and tied to approvals.
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.