Private LLM deployment, entirely within your perimeter.
Production-grade language models deployed inside your own cloud or data centre, aligned to India's DPDP and RBI mandates. Your data, models, and audit trail remain entirely under your control.
Public AI APIs send your most sensitive data to someone else's servers.
For a regulated Indian enterprise, that is a compliance and IP risk you cannot accept. The DPDP Act 2023, RBI data-localization mandates, and sectoral rules all point the same way: critical data must stay inside your jurisdiction and your control. Private deployment is how you use frontier AI without handing your data — or your customers' — to a vendor you don't govern.
Built for India's regulated enterprises.
Production infrastructure. Not a proof of concept.
Open-weight models served on your own GPUs, retrieval grounded on your data, orchestrated and observable — the same stack we run in production, deployed entirely within your tenant.
The things enterprises ask first.
Keep your data. Keep the edge.
Tell us your constraints — jurisdiction, sector, infrastructure — and we'll scope a private deployment that fits.