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 the infrastructure layer has been borrowed: US-hosted APIs, dollar billing, foreign data centers, and terms of service written for Western enterprise compliance regimes.
IndicStack is the full-stack AI partner built specifically for this market. From strategic consultancy to managed inference — we meet organizations where they are and grow with them. All hosted on Indian cloud, billed in INR, and operated under Indian jurisdiction.
The modular AI stack
Four layers, each designed to feed the one below. Consultancy uncovers needs, custom solutions drive inference workloads, workloads justify infrastructure. Customers enter at any layer — 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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