Sarvam AI
India-built sovereign LLMs and voice APIs tuned for Indian languages
Voice-first agentic AI for multilingual enterprise customer interactions
Gnani.ai stands out for building its own speech and language stack rather than just wrapping third-party models, which matters for multilingual voice automation in Indian languages where off-the-shelf ASR often struggles. Its focus on regulated verticals like banking and insurance, plus voice biometrics (armour365) and stated SOC 2 / PCI-DSS compliance, signals a serious enterprise posture. The daily-interaction, language-count, and client-count figures are vendor claims, and its case-study ROI numbers should be read as marketing. Pricing is entirely sales-led with no public tiers, so budget for a procurement process. It's a strong candidate for enterprises with high-volume, multilingual voice needs and a poor fit for anyone wanting cheap self-serve chat.
Gnani.ai is a Bengaluru-founded (2016), voice-first agentic AI platform built on proprietary speech and NLP engines tuned for Indian and other languages. Its products span voice agents (assist365, Inya.ai), analytics (aura365), and voice biometrics (armour365), targeting enterprises in banking, financial services, and insurance. Pricing is enterprise and sales-led, with no public self-serve tiers.
Gnani.ai was founded in Bengaluru, India, in 2016 by Ganesh Gopalan and Ananth Nagaraj. Its distinguishing bet is voice-first automation built on proprietary ASR (speech recognition) and NLP engines that cover a wide range of Indian languages, rather than relying solely on third-party models. The company reports processing tens of millions of voice interactions daily across 12+ languages for 200+ enterprise clients (vendor claims), with strong traction in banking, financial services, and insurance. The portfolio includes assist365 for multichannel conversational AI automation, aura365 for omnichannel analytics, and armour365 for voice biometrics and authentication. Its newer no-code builder, Inya.ai, lets teams create, train, and publish voice agents across telephony, WhatsApp, and chat relatively quickly. Typical deployments handle inbound support, EMI and payment reminders, collections, and multilingual query resolution, and the company cites compliance with standards such as SOC 2 Type II and PCI-DSS for regulated industries. Gnani.ai raised a fresh round in 2026 (reported at $10 million / around Rs 68 crore, led by Aavishkaar Capital with Info Edge Ventures participating), and reported crossing profitability with growing revenue. It's an enterprise product with sales-led, custom pricing rather than public self-serve tiers. It fits organizations that need real-time, multilingual voice automation at scale, particularly in the Indian market, and is less relevant for small teams wanting a simple text chatbot.
Gnani.ai is a Bengaluru-founded (2016) voice-first agentic AI platform built on proprietary multilingual speech and NLP engines. It targets enterprises in banking, financial services, and insurance with voice agents, analytics, and voice biometrics, using entirely custom, sales-led pricing.
Founded in Bengaluru, India, in 2016 by Ganesh Gopalan and Ananth Nagaraj. The company builds voice-first conversational and agentic AI on in-house ASR/NLP engines covering many Indian languages, and reports processing tens of millions of voice interactions daily across 12+ languages for 200+ enterprise clients (vendor claims). It cites SOC 2 Type II and PCI-DSS compliance.
assist365 for multichannel conversational AI automation; aura365 for omnichannel analytics; armour365 for voice biometrics and authentication; and Inya.ai, a no-code builder to create, train, and publish voice agents across telephony, WhatsApp, and chat. Available via cloud marketplaces such as Microsoft Azure.
Enterprises with high-volume, multilingual voice interactions, especially banks, NBFCs, and insurers, plus contact centers seeking voice automation, agent assist, and analytics, with particular strength in the Indian market.
Contact-center agents and supervisors, and the customers who interact with automated voice agents for support, reminders, or authentication.
Heads of customer experience, contact-center and operations leaders, and digital transformation executives in banking, insurance, and NBFCs.
Risk, compliance, and security teams (especially for voice biometrics), IT/integration teams, and procurement.
A regulated, high-call-volume enterprise (bank, NBFC, or insurer) needing real-time multilingual voice automation, strong compliance posture, and features like voice biometrics, comfortable with a sales-led procurement process and custom pricing.
Gnani.ai raised a round in 2026 reported at around $10 million (roughly Rs 68 crore), led by Aavishkaar Capital with participation from Info Edge Ventures, reportedly lifting its valuation to around Rs 818 crore. It has reported total funding of roughly $17-18 million across multiple rounds and stated profitability; treat all figures as reported.
Gnani.ai was founded in Bengaluru, India, in 2016 by Ganesh Gopalan and Ananth Nagaraj. It's a voice-first conversational and agentic AI company serving enterprises globally, with strong roots in the Indian market.
Its voice-first approach and proprietary in-house speech (ASR) and NLP engines tuned for a wide range of Indian languages, rather than relying solely on third-party models. It also offers voice biometrics via armour365 for authentication.
It focuses heavily on regulated, high-volume verticals such as banking, financial services, and insurance, with use cases like multilingual support, EMI/payment reminders, and collections. It cites SOC 2 Type II and PCI-DSS compliance.
There is no public pricing. Gnani.ai is an enterprise product with custom, sales-led quotes based on channels, languages, volume, and products deployed. Expect a demo and procurement process rather than self-serve signup.
Side-by-side pages for pricing, features, and best-fit use cases.
India-built sovereign LLMs and voice APIs tuned for Indian languages
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