Every LLM prompt contains business context — customer names, financial data, strategic plans. Where that inference runs determines which government can compel access to it.
When your app sends a prompt to an LLM, that prompt often contains customer PII, business logic, or proprietary data. If the inference server sits in a foreign jurisdiction, that data is subject to foreign law — regardless of what the provider's terms say.
The US CLOUD Act allows US authorities to compel disclosure of data held by US companies, even if stored outside the US. Chinese cybersecurity law (Art. 37) requires data localization within China. Neither framework aligns with Indian data protection principles.
With IndicStack, all inference processing is designed to run on Indian cloud infrastructure, operated by a 100% Indian-owned company. Your data stays under Indian law.
Built-in controls aligned with the Digital Personal Data Protection Act, 2023.
All inference processing runs on Indian cloud infrastructure. Prompts and completions are designed to stay within Indian data centers.
Choose how long your data is stored — 30 days, 7 days, or zero retention. You control the lifecycle.
Your prompts and completions are never used to train or fine-tune any model. Contractual, not just policy.
Every API call logged with model, tokens, timestamp, and client key. Exportable for compliance reviews.
Data Processing Agreement available on request. Standard DPDP-aligned template for enterprise procurement.
100% Indian-owned and operated. No foreign parent company. Governed entirely under Indian law.
Standard documentation package for enterprise procurement reviews, available on request.
DPA, security overview, and data flow diagrams available on request for enterprise evaluation.
Request Compliance Review