Startup Originals Team
Bengaluru-based Vecton AI has raised ₹6 crore in a pre-seed funding round led by Zeropearl VC, with participation from other investors. The startup is focused on helping financial institutions move artificial intelligence projects from experimentation to production.
Vecton AI plans to use the fresh capital to develop enterprise-ready AI solutions, strengthen its Forward Deployed Engineer (FDE) model and expand across the banking, financial services and insurance (BFSI) sector.
The funding comes as financial institutions increasingly explore AI for automation, customer experience, compliance and business decision-making, while enterprises continue to face challenges in moving AI projects beyond proof-of-concept stages.
What Happened?
Vecton AI has secured ₹6 crore in pre-seed funding in a round led by Zeropearl VC. The company said the capital will support product development and expansion across the BFSI sector.
A key focus will be the development of production-ready and compliant AI and autonomous agent systems for financial institutions. Vecton AI works with mid-market and enterprise customers to identify practical AI use cases, develop customised solutions and deploy them in live business environments.
The startup will also strengthen its Forward Deployed Engineer model, through which its engineering teams work closely with enterprise customers to align AI systems with operational requirements and business priorities.
Key Details
Founded in 2025 by Himanshu Goyal and Gaurav Mandlecha, Vecton AI focuses exclusively on financial institutions.
The Bengaluru-based startup aims to address a common challenge in enterprise AI adoption: the gap between experimenting with AI and successfully deploying it in real-world operations.
Instead of focusing only on developing AI models, Vecton AI works with companies through the implementation process. Its teams identify relevant business problems, build customised AI systems and help deploy them into production.
The company currently claims to have 10 customers, including several publicly listed companies. Its AI solutions are already deployed in live production environments across these customers.
Vecton AI said the new funding will also help improve customer experiences and support better decision-making within financial institutions.
Why This Matters
The funding highlights investor interest in AI startups that solve specific enterprise problems rather than simply building general-purpose AI applications.
Financial institutions face additional requirements around compliance, security and reliability when deploying AI. This creates demand for solutions that can operate within existing business processes while meeting enterprise requirements.
Vecton AI is positioning its FDE model around this implementation challenge. By working directly with enterprise teams, the startup aims to reduce the distance between an AI proof of concept and a system that can be used in daily operations.
Its focus on BFSI also gives the company a specialised market rather than targeting enterprises across multiple industries at the same stage of its growth.
Company Background
Vecton AI was founded in Bengaluru in 2025 by Himanshu Goyal and Gaurav Mandlecha.
The company describes itself as an AI transformation partner for financial institutions. It works with mid-market and enterprise BFSI companies to build and deploy production-ready AI and autonomous-agent systems.
Its services are centred on identifying business use cases, developing customised AI applications and integrating those systems into operational workflows.
The startup currently serves 10 customers and says its solutions are being used in live production environments.
Industry Impact
Vecton AI’s funding comes amid continued investment in AI applications for financial services. Indian startups are increasingly developing AI tools for areas such as banking infrastructure, automation, compliance and financial decision-making.
The broader fintech ecosystem also continues to attract capital. Indian fintech startups raised $935.5 million across 10 deals in June 2026, according to the information provided by Entrackr.
Other early-stage companies are also targeting AI-driven financial services. Navanc, for instance, recently raised ₹10.5 crore in a pre-Series A round to develop AI-native banking infrastructure.
For investors, the activity indicates growing interest in startups that can apply AI to specific financial-sector workflows. For banks, insurers and other financial institutions, such companies could help accelerate the adoption of AI while addressing the practical challenges involved in enterprise deployment.
Future Plans
Vecton AI plans to use its ₹6 crore funding to accelerate the development of enterprise-ready AI products and strengthen its FDE approach.
The startup also intends to expand its presence among BFSI customers while improving customer experience and decision-making through AI-powered systems.
Its immediate strategy is focused on moving more financial institutions from AI experimentation to production deployment. Building a larger customer base and expanding its AI capabilities will therefore be central to its next phase of growth.
Conclusion
The Vecton AI funding round gives the Bengaluru startup fresh capital to expand its enterprise AI business and deepen its focus on financial institutions.
With ₹6 crore from its pre-seed round led by Zeropearl VC, the company plans to strengthen its FDE model, develop production-ready AI solutions and expand across the BFSI sector.
As financial institutions increasingly look to move AI projects from testing into everyday operations, Vecton AI is positioning itself around the implementation gap that remains between AI experimentation and large-scale enterprise adoption.
