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Navana.ai Raises ₹40 Crore to Scale Voice AI Across India’s BFSI Sector

Navana.ai co-founders Raoul Nanavati and Jai Nanavati during the company's latest funding announcement

Indian voice AI startup Navana.ai has raised ₹40 crore in a Series A funding round led by entrepreneur and investor Ronnie Screwvala, with participation from Antler India, Sharad Sanghi, Sandeep Singhal and Paula Mariwala. The fresh capital will help the company expand its voice AI deployments across banking, financial services and insurance (BFSI), while investing further in Indian-language speech technology.

Founded by brothers Raoul Nanavati and Jai Nanavati, Navana.ai develops voice AI systems for enterprises operating in regulated industries. Its technology is designed for deployments where companies need greater control over customer data, including on-premise environments.

Funding to Expand BFSI Voice AI

Navana.ai plans to use the new funding across three main areas: expanding its deployments with BFSI companies, improving speech models for Indian languages and dialects, and developing its AI Contact Centre and automated quality evaluation products.

The company says its speech technology currently supports 12 Indian languages and 45 dialects. Its models are designed to handle challenges common in Indian voice interactions, including background noise, overlapping speech, code-switching and regional accents.

The focus on BFSI is deliberate. Banks, insurers and financial companies handle sensitive customer information and operate under strict regulatory requirements, making data residency, privacy and compliance important considerations when adopting AI-based customer service systems.

Navana Has Processed Over 100 Million Voice AI Minutes

Navana.ai says its systems have processed more than 100 million voice AI minutes for customers including Bajaj Finserv, Protean, Ujjivan Small Finance Bank, Jana Small Finance Bank and Grihum Housing Finance.

The technology is used across several enterprise workflows, including customer support, sales, collections and compliance.

Instead of functioning only as a customer-facing chatbot, the company's platform is designed to automate voice-based interactions while also providing tools for organisations to evaluate those conversations. This gives enterprises a way to use voice AI across multiple stages of customer engagement.

Navana has also worked with research and technology institutions including the Indian Institute of Science, IIT Madras and Microsoft Research on Indic speech AI. The company has additionally collaborated with the Gates Foundation on research involving Indian-language speech technology.

Indian Languages Are a Key Differentiator

India's linguistic diversity creates a difficult technical problem for voice AI companies. A model that performs well in English or standard Hindi may struggle when conversations involve regional accents, mixed languages, noisy telephone connections or less-represented dialects.

Navana is building its models specifically around those conditions.

The company says its technology can handle conversations where users switch between English and Indian languages and can recognise variations in pronunciation and speech patterns across regions. Developing these capabilities is particularly relevant to BFSI companies that serve customers beyond major urban centres.

For regulated enterprises, the ability to deploy AI while retaining greater control over where customer information is processed is another part of Navana's proposition.

Investor Interest Grows Around Enterprise Voice AI

The funding comes as Indian startups continue to attract investment for specialised voice and speech AI systems.

Ronnie Screwvala said enterprise adoption will depend not only on the performance and cost of voice AI but also on data security and regulatory compliance. He also pointed to India's linguistic diversity as an opportunity for specialised voice models.

Other Indian voice AI companies have recently raised significant funding. Gnani.ai secured $10 million earlier in 2026, while Smallest AI raised $13 million to develop real-time speech-to-speech technology.

The competitive landscape is therefore expanding beyond general-purpose AI models toward systems built for particular industries, languages and enterprise requirements.

Navana Builds Toward Regulated AI Adoption

For Navana.ai, the latest round provides capital to deepen an approach centred on regulated industries rather than broad consumer voice applications.

The company is betting that financial institutions and other highly regulated businesses will increasingly adopt AI for routine voice interactions while demanding tighter controls over data and compliance.

Its next phase will focus on expanding deployments, improving speech performance across India's linguistic diversity and building out its AI contact centre and evaluation tools.

With more than 100 million voice AI minutes already processed and a growing customer base in financial services, Navana.ai is now looking to turn that early enterprise adoption into broader deployment across India's regulated economy.