Our vision
India's most trusted partner for practical, sovereign AI transformation.
Indian builders are shipping AI products at a pace that rivals any ecosystem in the world. The models are here. The talent is here. The market: 1.4 billion people across 22 languages, unlike anything else on the planet.
And yet most AI infrastructure wasn't built for India: offshore APIs add latency and compliance risk, dollar billing creates unpredictable costs, and terms of service don't account for local data protection requirements.
IndicStack is the AI stack built specifically for this market. Hosted models, managed inference, AI agents, transformation consulting — we meet organizations where they are and grow with them. All on Indian cloud, billed in INR, operated under Indian law.
Four layers. Enter at any one.
Each layer feeds the one below it. Consultancy uncovers needs, custom solutions drive inference workloads, workloads justify infrastructure. A startup might begin at Layer 2 with a managed API. An enterprise might begin at Layer 4 with a transformation roadmap. Value expands organically as needs mature.
AI Transformation Consultancy
Maturity assessment, use-case prioritization, DPDP-ready compliance strategy, and governance frameworks.
Custom AI Solutions
Intelligent agents, multilingual RAG, domain-specific fine-tuning, and enterprise system integrations.
Managed LLM Inference
India-hosted, OpenAI-compatible API with token-level audit logs, configurable retention, and multi-tenant isolation.
AI Infrastructure
H100/H200 GPU clusters in sovereign Indian cloud zones with flexible capacity models.
What we stand for
India's AI stack should be owned by India
Not just hosted in India. Owned, operated, and governed here. Indian company. Indian cloud. Indian law. INR billing with GST invoices. Support in your timezone. This isn't a feature list; it's a deliberate architectural choice.
Indian languages are not a translation problem
Hindi, Tamil, Telugu, Bengali, Kannada, Malayalam: each is a distinct linguistic world with its own grammar, idiom, and cultural context. Models built for English and translated into Indian languages miss this entirely. We serve models built natively for the languages Indian users actually speak.
Inference location is a legal and compliance decision
Every prompt sent to an LLM may contain customer PII, business strategy, or regulated data. Where that processing happens determines which jurisdiction governs it. For regulated verticals (BFSI, healthcare, legal) this is not abstract. It matters in procurement, in audits, and in client conversations.
The open AI ecosystem has solved the model problem
Sarvam, AI4Bharat, and the broader open-weight research community have built models that match or exceed closed alternatives for Indian language workloads. What they need is production-grade serving infrastructure: metered, auditable, and built for Indian enterprise requirements.
Build with us
We work with Indian AI builders, IT firms, and regulated enterprises who want infrastructure that matches their market.
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