AIDNI turns thousands of RBI circulars, SEBI directions, and BFSI filings into structured intelligence — so your board governs with full regulatory visibility, your risk team quantifies impact, and your business spots opportunities before competitors read the gazette notification.
Real-time semantic extraction from the Indian regulatory corpus. Toggle between analytical views to explore obligation patterns, entity relationships, and term distributions.
Real-time term extraction across regulatory documents from 32 regulators
Live Data · Updated every 15 min · QuestDB & Milvus Vector Search
From Master Directions to market impact — AIDNI structures the entire Indian regulatory corpus into queryable, linked data. Built for CXOs who see regulation as strategy, not just compliance.
Board & CXOs
Governance oversight with full regulatory visibility
Risk & CRO
Impact quantification across portfolios
Business Strategy
Spot opportunities before competitors
Compliance
Obligation tracking with full lineage
Finance & Accounts
Ind AS implementation, ECL provisioning
Treasury
LCR, NSFR, HQLA eligibility intelligence
Multi-Source Regulatory Data Pipeline
A three-phase pipeline that transforms raw regulatory publications into structured, queryable intelligence.
Continuous tracking of 8+ Indian regulators and 22+ international bodies (RBI, SEBI, IRDAI, PFRDA, IFSCA, MCA, NABARD, IBBI). We exclusively process publicly available laws, circulars, master directions, and gazette notifications.
LLM-powered extraction of document structures, obligations, definitions, rules, and named entities. Late-chunking embeddings decompose complex legal PDFs into ontology-mapped knowledge items with lineage tracking. GPU-accelerated processing at scale.
Indexing documents into high-dimensional vector space for sub-second similarity search, powered by Milvus vector database, QuestDB time-series engine, and Neo4j knowledge graph for cross-referential regulatory structure traversal.
Purpose-built infrastructure for regulatory NLP — not a wrapper on top of a third-party API.
High-dimensional embeddings in Milvus for sub-second semantic search across the regulatory corpus
Regulatory structures, cross-references, and entity relationships modelled in Neo4j for regulatory lineage and impact tracing
QuestDB for temporal analytics — track regulatory changes, document complexity, and ingestion metrics
GPU-accelerated embedding and extraction pipelines for real-time document processing at scale
Public domain regulatory documents — circulars, directions, gazette notifications, master directions, and public filings — continuously indexed and analysed for risk teams, boards, Finance & Accounts teams implementing Ind AS and ECL frameworks, and Treasury teams tracking LCR/NSFR changes.
When RBI issues a Master Direction at 412 pages, AIDNI extracts 1,375 rules, maps 138 entities, and links every cross-reference — in minutes, not months. Intelligence for boards, risk teams, and business leaders who can't afford to wait.