Sharad Sanghi’s AI startup Neysa has taken a decisive step in strengthening India’s control over its artificial intelligence ecosystem. The company expanded its Velocis AI-native cloud platform by adding OpenAI’s GPT-OSS models to its open-weights catalog. This move aims to provide Indian enterprises and developers with advanced AI capabilities while ensuring they retain full ownership of their infrastructure, data, and compliance processes.
Strengthening India’s AI Sovereignty
Neysa’s leadership positioned this expansion as a milestone for India’s Sovereign AI mission. For years, Indian enterprises relied heavily on foreign-hosted black-box AI systems. These closed systems imposed high costs, regulatory uncertainties, and restrictions on innovation. By hosting GPT-OSS models on Velocis, Neysa enables India to cut these dependencies and foster a self-reliant AI ecosystem.
“India cannot afford to build its AI future on platforms it does not control,” said Sharad Sanghi, Co-founder and CEO of Neysa. “By bringing world-class models like GPT-OSS into our Velocis ecosystem, we are proving that advanced AI can be hosted and scaled entirely within India.”
This philosophy underpins Neysa’s mission: empower Indian enterprises to innovate without external permission, while reassuring policymakers that AI deployments align with local regulations.
Velocis Catalog: A Diverse Open-Weights Portfolio
Velocis already offered enterprises access to leading open-weight families, including Llama, DeepSeek, Qwen, and Mistral. With GPT-OSS joining the list, the catalog now includes models capable of tackling both general-purpose and advanced reasoning workloads.
Among the newly added models are:
- GPT-OSS-120B: A Mixture-of-Experts system designed for complex reasoning tasks across industries.
- GPT-OSS-20B: A high-performance model optimized for efficiency in production environments.
- Specialized fine-tuned versions: These include GPTQ, AutoRound, and 4-bit variants, offering enterprises flexibility for performance and cost optimization.
By hosting these models, Neysa delivers both choice and control. Developers can experiment with model families, fine-tune them for domain-specific use cases, and deploy them on infrastructure located entirely in India.
Practical Advantages for Enterprises and Developers
Neysa designed Velocis to simplify AI adoption. Enterprises often struggle with transitioning from prototyping to real-world deployment. Closed platforms charge based on tokens, creating unpredictable costs. Neysa counters this with a transparent, usage-based economic model.
The platform offers:
- Managed inference endpoints: Developers can scale models into production within minutes.
- GPU orchestration: Velocis automates compute resource management for efficient training and deployment.
- Unified API: Enterprises can move from concept to production deployment without rewriting their pipelines.
For developers, Neysa integrates familiar tools like Jupyter Notebook, enabling them to code in Python and manage the full AI lifecycle on a single platform.
“If a group of developers or an organisation wants to build their own models — from data ingestion to model selection, training, inferencing and feature engineering — the entire life cycle can be done on our platform,” Sanghi explained.
This integrated approach appeals especially to startups, which require rapid experimentation and deployment without bearing massive infrastructure costs.
Strategic Funding and Growth
Since its inception in 2023, Neysa has raised USD 50 million. The funding has fueled its growth into a full-stack AI platform capable of serving a diverse range of clients. By focusing on both infrastructure and software orchestration, the company positions itself as more than just a cloud service—it acts as a bridge between raw compute power and enterprise-ready AI applications.
The predictable economics, combined with transparent cost structures, create strong incentives for enterprises that previously hesitated due to opaque pricing models from global providers.
Target Verticals: From Research to Government
Neysa identified four main verticals where Velocis creates maximum impact:
- Research and Education: Universities and research institutions use Velocis to train and fine-tune models, while also running AI and machine learning courses. This nurtures the next generation of AI talent within India.
- Enterprises: Neysa works with financial services and healthcare companies, sectors that require compliance, security, and reliability. By deploying AI workloads locally, enterprises safeguard sensitive data while improving efficiency.
- Startups and Unicorns: India’s vibrant startup ecosystem actively adopts Velocis for development. These companies value speed, flexibility, and cost control, which the platform delivers.
- Government and IndiaAI Mission: Neysa recently secured empanelment in the IndiaAI Mission, a government initiative funding compute for researchers. This alignment gives Neysa access to national-scale projects and reinforces its role as a strategic AI partner for the country.
Building a Full-Stack AI Ecosystem
The inclusion of GPT-OSS is part of Neysa’s broader strategy to create a comprehensive AI ecosystem tailored for India. The company aims to cover the entire AI lifecycle—data ingestion, model training, orchestration, deployment, and scaling.
By investing in AI-native infrastructure and expanding platform services, Neysa wants to ensure that Indian enterprises no longer depend on foreign systems for innovation. This approach mirrors global trends where nations emphasize AI sovereignty as a critical economic and security imperative.
Karan Kirpalani, Chief Product Officer at Neysa, underscored this commitment. “The conversation in AI is no longer just about what the technology can do, but where and how it is controlled. We integrated GPT-OSS into our catalog within weeks of its release, ensuring Indian enterprises access the best global innovation while retaining local sovereignty.”
Why Sovereignty Matters in AI
AI sovereignty represents more than just technology independence. It ensures compliance, security, and affordability. Enterprises hosting workloads on foreign servers risk violating local data protection laws and face uncertainties around intellectual property.
Moreover, black-box models hide their architectures and training data, limiting trust and transparency. Open-weight models, by contrast, allow enterprises to inspect, adapt, and fine-tune systems for their specific needs.
Neysa’s approach reduces costs by removing token-based billing structures. Enterprises gain predictable expenses and retain control over optimization strategies, something critical for industries with tight margins.
Positioning India for Global AI Leadership
By expanding Velocis with GPT-OSS, Neysa signals India’s ambition to lead in sovereign AI innovation. The country already produces some of the world’s top engineering talent. With platforms like Velocis, these developers can now access cutting-edge models locally, without depending on overseas providers.
This shift opens opportunities across industries—financial risk modeling, medical diagnostics, logistics optimization, and language technologies tailored for India’s diverse linguistic landscape.
At the same time, Neysa’s integration with the IndiaAI Mission aligns private enterprise with public policy, ensuring that AI growth benefits both commercial and national objectives.
Conclusion
Sharad Sanghi-led Neysa has positioned itself at the center of India’s AI sovereignty movement. By expanding the Velocis AI-native cloud platform to include GPT-OSS models, the company delivers advanced capabilities to Indian enterprises while guaranteeing compliance, transparency, and control.
Neysa’s strategy spans infrastructure, innovation, and national alignment, making it a critical player in shaping India’s AI future. As Sanghi emphasized, India cannot afford to outsource its AI destiny. With Velocis, Neysa is proving that world-class AI can thrive entirely within India, empowering enterprises, startups, researchers, and policymakers to build with confidence.
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