Artificial Intelligence (AI)

Gnani.ai appoints Sriraman Ranganathan as chief financial officer

The voice AI platform brings in a seasoned finance hand with stints at Freshworks and Veersa Technologies to steer its next phase of growth and global expansion

BENGALURU: Gnani.ai, India’s full-stack sovereign voice AI platform, has appointed Sriraman Ranganathan as its chief financial officer, effective June 9, as the Bengaluru-based company prepares for its next leg of scaling.

Ranganathan brings over two decades of experience across startups and multinational organisations spanning manufacturing, automotive, IT services and SaaS. His remit at Gnani.ai will cover financial planning and analysis, corporate governance, compliance, capital allocation, risk management and strategic growth initiatives.

The new CFO is no stranger to high-growth environments. He joins from Veersa Technologies, where he served as chief financial officer. Before that, he spent nearly five years at Freshworks, holding senior positions including senior director of finance and director of finance during a period of significant expansion at the SaaS giant. Earlier, he served as vice president of finance at DataTracks for over seven years, helping scale its global SaaS operations. His career also includes finance leadership roles at Amalgamations Valeo Clutch, Saint-Gobain Group India, Hindustan Colas and Indian Railways.

Across his career, Ranganathan has led IPO readiness programmes, corporate restructuring initiatives, the establishment of shared services centres and strategic exit processes, supporting founders through company sales, due diligence and data room management.

Gnani.ai was founded in 2016 by Ganesh Gopalan and Ananth Nagaraj. The platform processes over 30 million voice AI calls daily, serves more than 200 enterprise clients across banking, financial services and insurance, telecom, automotive, healthcare and government, and is one of the organisations selected under the Government of India’s IndiaAI Mission for sovereign foundational AI development. Its in-house AI stack includes a speech-to-text engine trained on over one million hours across 1,056 domains, a text-to-speech system covering 12 Indic languages and a proprietary 14-billion parameter speech-to-speech foundation model.

Thirty million calls a day, two hundred enterprise clients, and now a CFO who has been through an IPO or two. Gnani.ai is clearly getting its house in order.

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