Document Intelligence With Enterprise Control.
Bring AI-powered document extraction into your organization with structured access controls, data isolation, operational visibility, and configurable AI workflows.
Answers for Enterprise Stakeholders.
Select your role to explore how Sevikr AI addresses specific technical, security, operational, and data governance concerns.
Sevikr AI is built on Next.js 15+, FastAPI Python, Supabase PostgreSQL, and Google Gemini 1.5 multimodal AI models. It integrates cleanly via REST API, SSE live telemetry streams, and HTTP POST webhooks with zero architectural lock-in.
Layered Security Architecture.
Sevikr AI enforces security across five distinct architectural layers — Identity, Authorization, Key Vault, Database Isolation, and Audit Trails.
JWT Session Auth
Bearer token session handling powered by Supabase Auth with bcrypt password hashing and optional SSO.
4 System Roles (RBAC)
Super Admin, Operations Manager, Data Auditor, and Viewer system roles with explicit permission boundaries.
Encrypted API Credentials
Fernet symmetric encryption protecting user-provided Gemini API keys and Google Service Account JSON.
PostgreSQL Row-Level Security
Multi-tenant Row-Level Security policies ensuring organization members access authorized archives only.
Large-Scale Batch Processing & Automatic Checkpoint Resumption.
Process ZIP archives up to 20 GB containing thousands of documents. Automatic state checkpointing ensures interrupted jobs resume seamlessly from the last saved state without re-extracting documents or consuming duplicate credits.
Turn Your Business Documents Into Business-Ready Data.
Upload invoices, purchase orders, identity files, and shipping bills. Sevikr AI extracts the exact fields you need, verifies mathematical integrity automatically, and delivers clean structured data.