Enterprise-grade
data sovereignty

India DPDP Act Compliant

Eulogik Edge and Bharat-Tiny-LLM are architected for full compliance with the Digital Personal Data Protection Act. Consent Manager integration, data principal rights (access, erasure, portability), and data fiduciary obligations are built into our deployment stack. Non-compliance risk: ₹250 crore fines.

• ✓Consent Manager integration for data principal consent flows
• ✓Data localization: all personal data processed within India
• ✓Right to erasure: models do not retain any user data
• ✓Significant Data Fiduciary (SDF) readiness assessment included
• ✓Data Protection Officer (DPO) advisory services available

DIFC Regulation 10 Compliant

Evolucent AI (our legal RAG platform) is natively designed for DIFC Regulation 10 compliance. Law firms using Evolucent AI can satisfy the DIFC Courts Practical Guidance Note No. 2 requirements for disclosure and controls on generative AI in litigation.

• ✓Zero personal data processed outside DIFC jurisdiction
• ✓Full audit trail of all AI-assisted decisions
• ✓Human-in-the-loop for all consequential outputs
• ✓DIFC Courts Guidance Note No. 2 disclosure-ready
• ✓Client data never used for model training

RBI Model Risk & SEBI Cybersecurity

Our enterprise AI stack aligns with the RBI June 2026 Draft Guidance on Model Risk Management and SEBI's updated cybersecurity framework. Board-level model governance, human-in-the-loop mechanisms, and model explainability are core features.

• ✓Model validation and documentation for RBI Model Risk Management
• ✓Explainable AI outputs with confidence scores
• ✓Human-in-the-loop mandatory for consequential credit/fraud decisions
• ✓SEBI cybersecurity: encrypted model artifacts and access controls
• ✓Board-level AI risk reporting templates included

Air-Gapped On-Premise

Complete data isolation. Zero network egress. Models run inside your firewall on your hardware. Used by banks, hospitals, and government agencies with the strictest data sovereignty requirements.

• →Zero internet dependency
• →No data ever leaves premises
• →Hardware sizing and optimization included
• →Tested on commodity servers

Private VPC Deployment

Models deployed inside your AWS, Azure, or GCP private VPC. No shared infrastructure. Single-tenant environment with your own encryption keys.

• →Single-tenant with zero shared compute
• →Customer-managed encryption (BYOK)
• →Private endpoints, no public exposure
• →Full audit logs

Hybrid Edge + Cloud

Sensitive inference on-premise, non-sensitive on cloud. Smart routing keeps PII and regulated data local while allowing scale for non-sensitive workloads.

• →Automatic data classification routing
• →Sensitive data stays on-premise
• →Scale public workloads to cloud
• →Unified observability dashboard

Zero Data Retention

Our inference stack maintains no conversation history, no prompt logs, and no output caching by default. Every query is stateless.

Zero Cloud Dependency

Air-gapped deployments have no internet connectivity. On-premise models cannot phone home. No license checks, no telemetry.

Full Audit Trail

Every inference call is logged with timestamps, user identifiers (via your IAM), and outputs, stored in your infrastructure, not ours.

RBAC Integrated

Role-based access control integrates with your existing Active Directory, Okta, or LDAP. No new identity silos.

Explainable Outputs

NIRNAY and pico-type output calibrated confidence scores. Prajna-V2 includes memory-trace logs for every factual claim.

Open Weights

All our models are Apache 2.0 or MIT licensed. You can audit every weight, every training script, and every eval result.