IndicStack
IndicStack provides a managed LLM inference platform hosted on Indian cloud infrastructure, enabling Indian AI builders to run production workloads without relying on offshore APIs. The OpenAI-compatible API supports Indic-native models like Sarvam-30B, with token-level audit logs, configurable data retention, and INR billing with GST invoices.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Indian AI teams building production applications face significant barriers with offshore AI infrastructure. USD billing with forex markups complicates cost reconciliation and GST compliance, while processing data on foreign servers creates latency issues and legal risks under India's Digital Personal Data Protection Act for regulated verticals like BFSI and healthcare.
Solution
IndicStack provides a domestic full-stack AI platform with GPU hosting, managed LLM inference, custom AI solutions, and transformation consulting. The flagship managed inference layer offers an OpenAI-compatible API hosted on Indian cloud zones with models like Sarvam-30B and Qwen3-32B, requiring only a base URL change for migration. The platform includes client-level metering, configurable prompt retention down to zero, and audit logging for every API call. IndicStack also supports native Indian language models built for Hindi, Tamil, Telugu, and other regional languages rather than relying on translated English models.
Target Audience
Primary customers include Indian SaaS startups, IT services firms and agencies, regulated enterprises in banking, healthcare, and legal sectors, and organizations building WhatsApp automation solutions that need India-hosted AI infrastructure with compliance certainty.
Features
- OpenAI-compatible API endpoint (api.indicstack.ai/v1) as a drop-in replacement, requiring only a base URL change from existing OpenAI SDK implementations
- India-hosted inference on sovereign cloud zones (ap-south-1 Mumbai) with three model tiers: Economy (Qwen3-8B), Default (Sarvam-30B, Qwen3-32B), and Premium (DeepSeek-R1, Sarvam-105B)
- Client-level metering with per-project token tracking, budgets, and rate limits across API keys and teams
- Configurable data retention policies ranging from default 30 days down to zero retention, with contractual guarantee against using customer prompts or completions for model training
- Token-level audit logs capturing timestamp, model, token count, and API key ID with exportable records for compliance reviews
- Multi-tenant isolation and encryption in transit (TLS) with DPDP Act 2023 compliance and configurable retention per customer
- Multilingual RAG and domain-specific fine-tuning capabilities for Indian language workloads