INTEGRATED AI FOR REGULATED INDUSTRIES

Predict. Personalize. Act. Govern.

One platform that closes the loop – predictive models, GenAI, and autonomous agents with compliance native to every layer. iTuring turns business intelligence into business outcomes.

18

banks and insurers live

140

use cases

The False Tradeoff​

Fragmented AI
or integrated intelligence?

Most enterprises inherit the “best-of-breed becomes worst-of-integration” trap. Predictive models don’t talk to personalization engines. GenAI can’t trigger autonomous actions. Agents operate without governance. The result: insights trapped at the insight stage, context siloed across vendors, and compliance retrofitted after deployment when audit finds the gaps.

iTuring eliminates that architecture tax. Predictive, generative, and agentic AI operate on one data foundation with governance engineered into every layer – not bolted on. Models feed agents. Agents personalize customer outreach. Outcomes retrain predictions. Immutable audit trails throughout.

Most enterprises inherit the “best-of-breed becomes worst-of-integration” trap. Predictive models don’t talk to personalization engines. GenAI can’t trigger autonomous actions. Agents operate without governance. The result: insights trapped at the insight stage, context siloed across vendors, and compliance retrofitted after deployment when audit finds the gaps.

iTuring eliminates that architecture tax. Predictive, generative, and agentic AI operate on one data foundation with governance engineered into every layer – not bolted on. Models feed agents. Agents personalize customer outreach. Outcomes retrain predictions. Immutable audit trails throughout.

Three things traditional platforms can’t deliver.

One Platform, Complete Intelligence Stack.

One Platform, Complete Intelligence Stack.

Deploy predictive models, generative AI, and autonomous agents without integration middleware. Shared data foundation. Unified observability. No vendor sprawl.

Context flows across layers – predictions inform personalization, agents execute strategies, outcomes improve models. All on one governed backbone.

Production‑Grade
from Day One.

Production‑Grade from Day One.

No pilot purgatory and no “works in dev, fails in prod” disasters – champion models selected by performance with governed change control.

Built for regulated industries where every model faces an auditor and every decision requires a witness. Approvals that stand up in audit, not bolted-on documentation.

Autonomous Improvement,
Not Manual Retraining.

Autonomous Improvement, Not Manual Retraining.

Agents don’t just execute – they close the learning loop. Collections strategies adapt to portfolio behavior. Fraud models evolve with attack patterns. No data science bottlenecks.

Your AI gets smarter over time because outcomes feed back into intelligence. Continuous learning without continuous redeployment.

Results regulators respect, outcomes CFOs measure.

Business Outcomes by Use Case

+32%
approvals

Risk appetite maintained.

Regional Bank, $18B assets – Credit Risk

92%
fraud accuracy

fewer false positives.

FinTech platform, 2M users – Financial Crime

20%+
collections lift

lower cost to recover.

National insurer – Collections & Recovery

$45M
in 90 days

net new deposits.

Credit union, 500K members – Growth & Retention

Platform Superiority

50,000
features

full lineage,
zero code.

Data Accelerator – financial signals ready‑to‑use

90%
faster

weeks to production at scale.

Universal workflows – governed from the start

30‑minute
investigations

direct root cause visibility.

Model Risk – bias and drift controls

Any model,
governed

Python, SAS, third‑party.

Model Ops – one click, full accountability

Five powers, one platform, complete governance.

From siloed data to production decisions - every stage auditable, every model accountable, every deployment governed.

CONNECT

iTuring Data Accelerator

Unite siloed data with 200+ connectors, drag-and-drop to build 50,000+ ML-ready features, deploy via API with complete lineage.

BUILD

iTuring AutoAI

4,000 AI agents compete to find champions with audit‑grade explainability and auto‑documentation delivering business‑ready models in weeks.

DEPLOY

iTuring Model Ops

Any framework, any model, production‑ready in seconds with maker‑checker approvals and one‑click rollbacks.

PROTECT

iTuring Model Risk

Continuous monitoring across 60+ parameters with root‑cause answers in 30 minutes, not 3 weeks.

GOVERN

iTuring Model Governance

Centralized inventory, approvals, and immutable audit trails – regulatory examination tomorrow, full documentation today.

Intelligence that thinks, personalizes, and acts.

A customer misses a payment. iTuring’s predictive layer scores default risk and payment propensity. The generative layer crafts a personalized message based on behavioral fingerprints – not a generic template. An autonomous agent selects the optimal channel, timing, and offer.

When the customer pays, that outcome retrains the model for the next interaction.

That’s integrated AI. No handoffs between systems. No compliance gaps. No manual orchestration.

Deploy this across collections, fraud detection, underwriting, and retention – all in one platform with lineage tracking and maker-checker approvals built in.

iTuring Collections Agent

Predict default risk, personalize outreach, and prevent voluntary non‑payment achieving over

20%+

Lift

60%+

Low Cost

10x

ROI

Marketing Agent

Net new money with price optimization

Coming Soon 2026

Underwriting Agent

Automated exception handling with audit trails

Coming Soon 2026

Who We Build For

Built for leaders in regulated industries.

Banks & Credit Unions

Same‑day underwriting, lower fraud false positives, higher recovery rates, and true net new money growth – governance built in for audit‑ready operations.

Insurance

Sharper risk selection, SIU triage in minutes, faster claims decisions, and higher retention – with explainability and approvals at every step.

FinTech

Faster originations, real‑time payments risk, stronger collections, and scalable growth – with lineage, compliance, and live risk checks embedded.

Recognized by industry leaders

Trusted by regulated institutions

See governance at work, not on slides.

In 15 minutes, walk through lineage, approvals, and traceability on a live flow for risk, fraud, collections, or growth – no decks, no pitch.

18

banks and insurers live

140

use case solutions

Resources and accelerators

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 analysis 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

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.