# CyborgIntell > Unified AI platform for predictive, generative, and agentic decision\-making in regulated industries ## At a glance | Field | Value | | --- | --- | | Category | Data & Analytics | | Type | Solutions Provider | | Region | APAC | | Headquarters | Bangalore, India | | Founded | 2018 | | Stage | Growth | | Employees | 11-50 | | Funding | Series A | ## Overview CyborgIntell (now operating as iTuring.ai following a May 2025 rebrand) is an integrated AI platform for banking, financial services, and insurance (BFSI) carriers and lenders. The company delivers predictive models, generative AI, and autonomous agents on a single governed foundation, addressing fraud detection, claim prediction, and underwriting risk for insurance clients. The platform provides automated machine learning (AutoML), a generative AI layer with retrieval-augmented generation, and model risk management tooling in one system. Insurance-specific capabilities include early claim prediction, pre-issuance risk verification, fraud detection at 92% accuracy, and Special Investigation Unit triage. The platform integrates with 200+ data connectors and supports Guidewire, Duck Creek, and Salesforce, with cloud deployment on AWS, Azure, or GCP. Founded in 2018 and headquartered in Bangalore, India, the company raised a USD 5M Series A in July 2025 led by Dallas Venture Capital and Mela Ventures. It reports 18 banks and insurers on the platform -- including Bharti AXA, Munich Re, SBI Life, and IndusInd Nippon Life Insurance -- and 43 employees as of mid-2025. ## Products & services ### iTuring AutoML\+ Zero-code automated machine learning platform with audit-grade explainability and framework-agnostic model deployment. **Key features:** - Zero\-code model development and deployment - Audit\-grade explainability with maker\-checker approvals - 50,000\+ prebuilt financial features with complete lineage *Target users:* Data science teams at banks, insurers, and NBFCs ### iTuring Decision AI Production-ready generative AI layer with retrieval-augmented generation (RAG) and observability for autonomous decision-making. **Key features:** - RAG\-based generative AI for regulated outputs - Observability and monitoring for deployed AI agents - Autonomous decision workflow support *Target users:* Operations and actuarial teams at carriers and financial institutions ### iTuring MRM \(Model Risk Management\) Continuous model monitoring with immutable audit trails for regulatory compliance. **Key features:** - Monitoring across 60\+ parameters - 30\-minute root\-cause analysis capability - Immutable audit trails for regulatory examination readiness *Target users:* Risk and compliance teams at regulated financial institutions ### Insurance\-Specific Solutions Dedicated modules for insurance carrier operations covering the full policy and claims lifecycle. **Key features:** - Early claim prediction and claims decision acceleration - Fraud detection \(92% accuracy, reduced false positives\) - SIU triage optimization \(minutes vs\. hours\) - Pre\-issuance risk verification and underwriting acceleration - Customer retention optimization *Target users:* P&C and life carriers, reinsurers ## Category & focus - Subcategories: Predictive Analytics, Fraud Detection, Underwriting & Risk, AI/ML Platform - Insurance verticals: P&C Commercial, Life & Annuity, Health, Reinsurance - Target customers: Carriers, Reinsurers ## Notable customers - Bharti AXA - Munich Re - SBI Life - IndusInd Nippon Life Insurance - dotsure - Bank of Maharashtra - Aadhar Housing Finance ## Links - Website: - Directory profile: - Careers: - Linkedin: - Blog/news: - Press/news: --- *Last updated: 2026\-05\-12*