Bengaluru-based Vecton AI raises Rs. 6 crore in a pre-seed round led by Zeropearl VC, aiming to help banks and financial firms transition AI from pilots to operational tools amid growing sector competition.
Vecton AI has raised Rs. 6 crore in a pre-seed round led by Zeropearl VC, giving the Bengaluru start-up fresh backing as it tries to bring artificial intelligence out of the pilot phase and into day-to-day use across banks and other financial firms. The company is targeting the banking, financial services and insurance sector, where AI projects often struggle to move beyond demonstrations because of legacy systems, compliance demands and data security concerns.
Founded in 2024 by BITS Pilani alumni Himanshu Goyal and Gaurav Mandlecha, Vecton AI positions itself as an AI transformation partner rather than a product vendor selling a one-size-fits-all tool. According to the company’s website, its work includes consulting, process automation, custom-trained models and autonomous agent development, with a focus on systems that can be embedded into existing financial workflows and handed over for production use.
The Economic Times reported that the new capital will help Vecton AI build enterprise-ready products and expand its Forward Deployed Engineer model, in which engineers work closely with client teams on live problems. That approach is meant to suit financial institutions, where AI tools must fit around lending systems, customer records, approval chains and regulatory checks rather than sit apart as isolated experiments.
Vecton AI says it is already working with 10 customers, including some listed companies, and that its systems are running in production. The wider market is becoming more crowded: OnFinance AI raised $4.2 million in 2025, while GreyLabs AI secured Rs. 85 crore in Series A funding the same year, according to separate reports. The competitive backdrop underscores both the size of the opportunity and the difficulty of winning trust in a sector that values explainability, auditability and secure deployment.
For Vecton AI, the next test will be whether it can convert early interest into repeatable enterprise adoption. In BFSI, the value of AI is not measured by polished demos but by whether it can speed up loan processing, reduce manual follow-ups, improve internal search and support compliance without adding risk. That is the gap Vecton AI says it intends to fill.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
