The enterprise Agentic AI Platform.
Build, orchestrate and govern autonomous AI agents that take real work off your teams. RapidData's multi-agent AI platform gives enterprises an AI digital workforce — agents that plan, reason, call tools, and act across your systems, with RAG, an LLM Mesh, and AI governance built in.
From chatbots to an autonomous AI workforce.
Most AI projects stall at the demo because a single chatbot can't do real enterprise work. An Agentic AI Platform is different: it runs autonomous AI agents that decompose a goal into steps, retrieve the right context, call the right tools and systems, and complete multi-step tasks — with oversight, guardrails and a full audit trail. RapidData delivers this as an enterprise-grade, multi-agent AI platform built on our XYNER AI foundation.
Our platform gives you an AI agent builder and an AI agent orchestration layer, grounded retrieval (RAG) over your governed data, and an LLM Mesh so you are never locked to one model. Agents become a true AI digital workforce — handling intelligent automation, AI process automation, and AI decision automation across operations, service, finance and the back office.
Because it is built for the enterprise, governance is not an afterthought. Role-based access, policy guardrails, human-in-the-loop checkpoints, evaluation, and immutable audit logging are part of the platform — so autonomous agents stay safe, compliant and accountable at scale.
Build & Orchestrate Autonomous Agents
Design agents and multi-agent workflows that plan, reason and act. Compose tools, connect systems, and orchestrate teams of agents that collaborate to complete end-to-end processes.
AI agent builder
Design agents with goals, tools, memory and policies — no-code and pro-code paths.
Multi-agent orchestration
Coordinate teams of specialised agents on complex, multi-step processes.
Tool & system calling
Agents act across your ERP, CRM, ticketing, data and custom APIs.
Enterprise AI agents
Production-grade agents for operations, service, finance and the back office.
RAG, LLM Mesh & Knowledge
Ground agents in your own governed knowledge so answers and actions are accurate and current, and stay model-agnostic with an LLM Mesh that routes to the best model for each task.
Retrieval-augmented generation (RAG)
Ground agents in your governed documents and data for accurate, current output.
LLM Mesh
Route across multiple LLMs — commercial, open and private — with no lock-in.
Knowledge & memory
Persistent agent memory and enterprise knowledge integration.
Evaluation & quality
Continuous evaluation of agent accuracy, safety and cost.
AI Governance & Control
Run autonomous agents safely. Policy guardrails, human-in-the-loop approvals, RBAC and immutable audit logs keep your AI workforce compliant and accountable.
Guardrails & policy
Constrain what agents can do, see and act on with policy-as-code.
Human-in-the-loop
Insert approval checkpoints on high-risk actions.
Audit & observability
Immutable logs of every agent decision, tool call and outcome.
Security & RBAC
Role-based access and data isolation across tenants and teams.
Related capabilities & platforms.
Frequently asked questions
What is an Agentic AI Platform? +
An Agentic AI Platform builds, orchestrates and governs autonomous AI agents — software that plans, reasons, calls tools and acts across enterprise systems to complete multi-step tasks, rather than just answering questions like a chatbot.
How is Agentic AI different from generative AI or a chatbot? +
Generative AI and chatbots produce responses. Agentic AI takes action: it decomposes goals into steps, retrieves context, calls tools and systems, and completes end-to-end processes with oversight and guardrails.
Does RapidData's platform support multiple LLMs? +
Yes. Our LLM Mesh is model-agnostic, routing across commercial, open-source and private models so you avoid lock-in and use the best model per task.
How do you keep autonomous agents safe and compliant? +
Through policy guardrails, role-based access, human-in-the-loop checkpoints, continuous evaluation, and immutable audit logging — AI governance is built into the platform.
Can agents work with our existing enterprise systems? +
Yes. Agents call tools and APIs across your ERP, CRM, ticketing, data platforms and custom systems.
Is this suitable for government and regulated industries? +
Yes. The platform supports data residency, sovereign-cloud deployment, RBAC and audit trails required by government and regulated sectors.
See the Agentic AI Platform on your data.
A platform specialist will show autonomous agents working on a real enterprise process — and answer the hard governance questions.