NEW DELHI | AUGUST 28, 2026 – Bengaluru-based voice AI company Gnani.ai has launched Artha, an end-to-end sovereign AI stack designed for Indian enterprises and public institutions, marking a major new product push emerging from the IndiaAI Mission.
The platform was formally launched at Uprashtrapati Bhavan in New Delhi by Vice President C P Radhakrishnan, who positioned the initiative within India’s broader ambition of technological self-reliance and global leadership in artificial intelligence.
Artha is designed around a central proposition: Indian organisations should be able to deploy advanced AI while retaining greater control over their data, infrastructure and language requirements.
With banks, insurers, telecom companies and government institutions increasingly exploring AI for sensitive workflows, Gnani.ai is betting that a combination of data sovereignty, multilingual capability and cost-efficient deployment can accelerate enterprise adoption.
Artha combines an Indian-language AI model with agentic AI
The Artha stack brings together two technologies developed by Gnani.ai: Evon v3.3 and Plexus.
Evon v3.3 is a 30-billion-parameter open-weight large language model trained across 11 Indian languages. Unlike approaches that rely heavily on translating Indian-language inputs through English before processing them, Gnani.ai says the model has been trained natively for Indian-language workloads.
The company claims Evon v3.3 uses approximately 40% fewer tokens than comparable models for Indian-language applications, potentially reducing compute requirements for organisations deploying AI across India’s linguistically diverse markets.
The second component, Plexus, is an agentic AI platform designed to connect the underlying model with enterprise workflows and institutional systems.
Together, the technologies are intended to move AI beyond conversational interfaces and into practical business processes.
Potential applications include:
- Insurance underwriting
- Advertising workflows
- Payments reconciliation
- Enterprise automation
- Government services
- Multilingual customer interactions
Why data sovereignty is becoming an AI priority
For many Indian enterprises, particularly those handling financial, citizen or customer information, AI adoption is not simply a question of model performance.
Where data is processed, how it is stored and who controls the underlying infrastructure are increasingly strategic considerations.
Artha is being positioned around this requirement, with Gnani.ai targeting organisations that may be hesitant to send sensitive enterprise information through foreign-owned AI platforms.
The company’s proposition combines Indian data, Indian languages and deployment economics tailored to local requirements.
This could be particularly relevant to sectors such as banking, financial services and insurance, telecom and government, where regulatory compliance and data security can influence technology purchasing decisions.
IndiaAI Mission gives the launch additional significance
Gnani.ai’s Artha launch also highlights the growing role of the IndiaAI Mission in supporting the country’s domestic AI ecosystem.
The government approved the IndiaAI Mission in March 2024 with an initial allocation of ₹10,000 crore, with the broader programme focused on areas including AI compute infrastructure, foundation models, datasets, applications and innovation.
Gnani.ai was selected under the mission and has separately been developing a 14-billion-parameter multilingual voice model aimed at citizen-government interactions.
Artha therefore represents a shift from developing AI models to packaging those capabilities into an enterprise-oriented product stack.
That transition could become increasingly important as India attempts to build an AI ecosystem that produces commercially deployable products rather than remaining focused primarily on research and experimentation.
$10 million funding adds momentum
The launch comes shortly after Gnani.ai raised $10 million in Series B funding, led by Aavishkaar Capital with participation from existing investor Info Edge Ventures.
The company has said the capital will support its expansion across agentic AI, multilingual capabilities and engineering.
Gnani.ai expects Evon and Plexus, the two core components of Artha, to contribute 20–30% of the company’s business within the next year.
That target reflects the company’s ambition to make Artha a significant commercial growth engine rather than simply another AI product launch.
Gnani.ai enters India’s sovereign AI race
Artha also places Gnani.ai within India’s increasingly competitive homegrown AI landscape.
Companies including Sarvam AI and Krutrim are pursuing their own approaches to building Indian AI capabilities, foundation models and infrastructure.
Gnani.ai’s differentiation is its focus on voice, enterprise workflows, Indian languages and sovereign deployment.
The company is effectively betting that businesses do not necessarily need another general-purpose chatbot. Instead, they need AI that can understand local languages, work with existing enterprise systems and operate within the security and compliance requirements of sensitive industries.
That could give specialised sovereign AI platforms an opportunity to compete alongside global foundation model providers.
Sovereign AI could become India’s next enterprise technology battleground
India’s AI strategy is increasingly moving beyond the question of whether the country can build large models.
The bigger question is whether those models can be turned into secure, affordable and commercially useful systems for Indian organisations.
Artha’s launch reflects that next stage.
If Gnani.ai can translate its multilingual models and agentic capabilities into measurable improvements in areas such as customer service, underwriting, payments and government delivery, sovereign AI could move from a policy objective to a significant enterprise technology market.
For Indian businesses, the appeal is increasingly clear: AI that understands Indian users, works within Indian regulatory environments and can be deployed with greater control over sensitive data.
Artha is Gnani.ai’s bet that this combination can become a competitive advantage.
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Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape. She has written extensively on fintech, AI and emerging startups.