AI company iTuring.AI secures $5 million funding to launch a no-code AI platform targeted at the BFSI sector.
Bengaluru-based AI startup iTuring.ai, formerly known as CyborgIntell, has raised $5 Mn (INR 43.2 Cr) in its Series A funding round. The funding round was led by Dallas Venture Capital (DVC) and Mela Ventures, and will be used to scale the startup's autonomous AI capabilities.
The fresh capital will be employed to accelerate the rollout of iTuring.ai's proprietary, zero-code AI/ML platform, which is specifically designed for the banking, financial services, and insurance (BFSI) sector. The platform automates the entire lifecycle of data science and machine learning, enabling financial institutions to automate all stages in the journey of deploying data science and machine learning.
iTuring.ai's founder and CEO, Suman Singh, stated that the funding will help bring AI-driven ROI to clients faster. The focus is now on building autonomous, agentic AI to solve last-mile challenges in customer acquisition, collections, underwriting, and fraud prevention.
The platform has processed 170 TB of data and built 37,500 models to date. It offers a no-code platform that enables banks and insurers to fully automate deployment of data science and machine learning processes, thereby accelerating AI-driven ROI.
iTuring.ai's clients include Reliance, LoanTap, Aadhar Housing Finance, Bharti AXA, and serves clients across India, South Africa, and the US. The funds will also be used for product development and to expand the US team.
The funding round is part of a series of funding rounds for early to growth stage Indian AI startups. A recent investor survey showed that more than half of the investors surveyed were looking to infuse funds in early stage AI startups in the second half of 2025. This indicates a growing interest in the AI sector, particularly in the BFSI sector, where iTuring.ai is making significant strides.
iTuring.ai's key autonomous AI capabilities and solutions for BFSI include full lifecycle automation of AI model development, deployment, and governance, with transparent, explainable, and audit-ready AI models to ensure compliance and trustworthiness in financial institutions. The platform aims to empower BFSI firms to efficiently create, deploy, and maintain AI models autonomously, thereby improving operational efficiency and compliance while reducing dependence on manual data science efforts.
In summary, iTuring.ai delivers comprehensive autonomous AI solutions that automate AI workflows and solve key BFSI sector challenges like customer acquisition, fraud detection, underwriting, and collections—all through a no-code, enterprise-grade platform designed to meet BFSI regulatory standards. The company was founded in 2018 by Suman Singh, Amit Kumar, Mohammed Nawas, and Srivalsan Ponnachath.
- The Series A funding round secured by iTuring.ai, led by Dallas Venture Capital (DVC) and Mela Ventures, is aimed at investing in the startup's business, with the primary focus on financing the development of autonomous AI capabilities in the technology sector, particularly in the banking, financial services, and insurance (BFSI) industry.
- The fresh capital will be allocated towards investing in iTuring.ai's proprietary, zero-code AI/ML platform, designed specifically for the BFSI sector. This investment will facilitate automating the entire lifecycle of data science and machine learning, ultimately helping financial institutions increase AI-driven returns.
- With the infused capital, iTuring.ai plans to expand its product development and US team, as well as accelerate the rollout of its AI-driven solutions, focusing on resolving critical challenges in customer acquisition, collections, underwriting, and fraud prevention within the BFSI sector.
