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What's inside
Platform overview
An all-in-one Agentic AI platform spanning training, generation, deployment, and monitoring — and how it gets adopted
Agent design and Agentflow
Compose LLM calls, tool execution, and branching on a node canvas without code, and build multi-agent setups
Knowledge and RAG
Hybrid retrieval, rerankers, ontology graphs, and cited responses, so answers come with a clear source
Tools and MCP integration
Connect internal systems, databases, and artifacts to agents safely through the MCP standard and API tools
Security and governance
On-premise and network-separated deployment, RBAC/ABAC, PII masking, dual approval, audit logs, and zero training on your data
Deployment, operations, and case studies
Multi-LLM orchestration, GitOps deployment, dashboard monitoring, and applications by industry