Fingrid.ai
Architecture & Security

Enterprise-grade, India-resident.

Multi-tenancy models that match your risk appetite, data that stays in India, and controls designed for DPDP and lender infosec questionnaires.

Architecture

Five deployment models, one platform

The same codebase and upgrade path across all five — your infosec posture picks the isolation level, not the feature set.

Shared multi-tenant (RLS)

Row-level security isolation on shared infrastructure — every query tenant-scoped at the database layer. The fastest, most economical path.

Per-tenant database

Your tenant, your own database — physical data separation for institutions whose policy requires it, on managed infrastructure.

Managed VPC

A dedicated, Fingrid-managed virtual private cloud for your deployment — network-isolated, with your compliance controls, our operations.

On-prem / your cloud account

Fingrid deployed in your data centre or your own cloud account — you hold the keys, the platform stays current.

Source code option

For institutions whose governance demands it: source code licensing arrangements that de-risk vendor dependency. Discussed per engagement.

How the models price

Deployment model is the second axis of your licence — the commercial framing of all five models is on the pricing page.

  • See deployment models on the pricing page →

Security & privacy posture

  • All customer data resident in Indian regions, including AI/document processing paths
  • DPDP-aligned: consent capture, purpose limitation, and data-purge workflows via Service Request Management
  • Role-based access with maker-checker on sensitive operations; full audit logging
  • Encryption in transit and at rest; tenant-scoped keys on dedicated models
Built around your business

See it on your own book.

A working demo on your products, your hierarchy and your workflows — not a slide deck.