Agentic compliance for Indian and EU regulatory frameworks
Multi-agent reasoning across the DPDP Act, Labour Codes, GDPR, and EU AI Act. The same question produces different answers based on your company profile, because compliance is never one-size-fits-all.
Every Indian tech company is suddenly regulated
DPDP Act 2023 was passed. Rules notified November 14, 2025. Full compliance deadline: May 2027. Four new Labour Codes replace 29 legacy laws. Zero AI tools exist for Indian regulatory compliance; only expensive consulting firms or foreign platforms legally excluded from being registered Consent Managers.
Four agents, one compliance answer
Domain-specific agents collaborate through LangGraph to deliver contextual, citation-backed compliance guidance.
Same question, different answers. A 45-person fintech gets different DPDP obligations than a 25-person edtech or a German SaaS company. Company profile drives every response.
Triple retrieval: pgvector semantic search, BM25 keyword matching, and LightRAG knowledge-graph traversal. FlashRank reranking. All on a single PostgreSQL instance.
DPDP Act 2023, four Labour Codes (Wages, IR, Social Security, OSH), GDPR, and EU AI Act. Domain-specific agents understand cross-references and exceptions.
Regulatory corpus exposed as discoverable tools via Model Context Protocol. Agents don't just search: they use structured tools like get_penalty_info() and compare_against_regulation().
Watch every reasoning step in real time: router classification, retrieval chunks, reranker scores, LLM generation, synthesis merge. Full Langfuse observability with cost tracking.
Upload your privacy policy or employment contract. Get a structured report: findings by severity, specific section citations, and a prioritized remediation plan you can act on.
Different company, different answer
Select a company. The same question, “Do I need a Data Protection Officer?”, produces a different, contextual answer.
Based on NovaPay’s profile: 45 employees processing UPI transaction data in Bengaluru and Mumbai. You likely qualify as a Significant Data Fiduciary under DPDP. The volume of financial personal data processed triggers the threshold.
4 layers, one PostgreSQL instance
Everything (vectors, BM25 index, knowledge graph, tenant data) runs on a single Neon PostgreSQL database.
Simple, transparent pricing
Start free. Upgrade when your compliance needs grow.
India + EU regulatory frameworks
Check your compliance in 30 seconds
Pick a sample question below. No sign-up required, no LLM cost. Just a quick read on where you stand.
Only if you are notified as a Significant Data Fiduciary under §10, but every company needs a grievance contact under §13, and processing children’s data raises the bar. The safe default: name a privacy point of contact now.