VidyutAI
LLM runtime — bring your own model (OpenAI, Claude, Bedrock, Azure, local).
Core infrastructure to deploy agents that remember, reason, and execute.
Ayantram's agent platform is built on a modular architecture that separates concerns while maintaining cohesion across the entire AI execution stack. Each component—from the LLM runtime to the workflow engine—is designed for production reliability, scalability, and observability.
Whether you're deploying customer-facing agents, building internal automation systems, or creating multi-agent orchestrations, our platform handles the complexity of agent lifecycle management, state persistence, API integration, and real-time monitoring.
Deploy agents in any environment: public cloud, private infrastructure, or hybrid setups. Maintain governance and security with role-based access control, single sign-on integration, comprehensive audit logs, and token-level observability across all agent operations.
LLM runtime — bring your own model (OpenAI, Claude, Bedrock, Azure, local).
Memory architecture — short, long, decaying, and promoted memories.
Document intelligence — PDF/OCR, contract parsing, knowledge routing.
Workflow engine — multi-agent, async execution, auto-retries.
API gateway — read & auto-execute API workflows with tracing.
Security & governance — RBAC, SSO, token-level observability.
Design, test, and deploy multi-agent workflows with built-in observability.
Connect your stack in minutes—no glue code required.
Spin up your first agent with our quickstart—go live in 2–3 hours.