Zero-Hallucination RAG
Answers grounded in your data with citations. Multi-LLM validation eliminates the 40% error rate of generic AI.
Purpose-built AI agents for Healthcare, Due Diligence, and Government. RAG-grounded, multi-agent orchestration with enterprise-grade accuracy and full data sovereignty.
Trusted by Innovative Enterprises












Pilot success rate
DD effort reduction
Languages supported
Gov data managed
The infrastructure layer under every Enclavia agent: bring any model, ground it in your private data, and let the ecosystem catch hallucinations and heal drift — without stopping your pipeline.
Explore the AI EcosystemPull models from repositories or upload your own — .gguf, .safetensors, or closed-weight APIs.
Link your data securely inside the platform and build task-specific agents on top of it.
Hallucinations are detected, the model is stopped and healed — the pipeline never is.
Answers grounded in your data with citations. Multi-LLM validation eliminates the 40% error rate of generic AI.
Specialized agents collaborate on complex workflows—from due diligence to clinical benchmarking.
On-premise and VPC deployment. SOC 2 Type II, HIPAA-ready architecture with zero data migration.
100+ pre-built connectors across ERP, CRM, SQL, and cloud storage—no ETL pipelines required.
Voice, WhatsApp, and chat agents scale citizen and customer outreach across India and beyond.
Built and governed in India for enterprises that need sovereign intelligence at global scale.
Deep vertical expertise—not generic chatbots. Tuned to regulatory, linguistic, and operational realities.
Clinical precision at scale
Accelerate trials with zero-hallucination research agents, automated study comparisons, and FDA-grounded regulatory workflows.
Investment intelligence
Automate DD across data rooms, virtual CFO modeling, and multi-LLM investment intelligence—with citations you can trust.
Mission-critical outreach
Scale citizen services across 22+ languages with AI voice, WhatsApp, and chat agents—defense-grade security built in.