RAPFlow AI Orchestration Platform

The RAPFlow platform is an all-in-one no-code/low-code solution built for enterprise automation, designed to transform operations through intelligent automation and deliver real business outcomes.

There are seven applications in the Platform Suite that offer different capabilities that can be combined to achieve your enterprise level automation needs.

View Platform Suite

Key Capabilities

Powered by advanced AI and governance controls to ensure reliability at scale.

Agent Orchestration

Create and string multiple diverse AI & RPA agents into unified, powerful workflows handling end-to-end business processes.

Centralized Control

Manage and orchestrate all AI workflows from the unified suite. Visualize the master flow from a single dashboard.

Observability

Provides complete visibility into AI operations with real-time monitoring and analytics.

Guardrails

Enforces boundaries to ensure AI systems operate safely and predictably.

Hallucination Detection

Identifies and prevents AI hallucinations with advanced filters.

Auditability

Offers complete audit trails, ensuring no black box decisions.

Flexible Deployment

Deploy anywhere, including on-premise, private cloud, or hybrid environments.

Compliance and Scale

SOC 2-grade governance controls that ensure reliability, safety, and compliance at scale.

Platform Suite Applications

Seven powerful applications combined to achieve enterprise automation.

AIStudio

Core Automation
Creation and Management of user-authored automation flows, essentially based on core AI capabilities, using a no-code / low-code flow builder.
Builder comes with prebuilt 'drag & drop' blocks that can simply be assembled to create the automation flow. Prebuilt blocks include AI/ML models (LLMs, Object detectors etc.) and all pre / post processing activity typically needed for AI based automation.

Key Features

  • Flow deployment (consumable via API) from external systems or other applications of the RAPFlow platform.
  • Vertical & Horizontal Scaling for Agents
  • Model Training (LLMs, Object Detection etc.), ML-Ops
  • Model Hosting
  • Consuming models via popular AI services like OpenAI, Vertex, Azure AI)
  • Knowledge Graphs for business-data
  • Advanced RAG
  • LLM Guards and Judge Metrics
  • User Conversation History
  • Object Detection
  • Multi-Modal Models for Document Extraction, Classifaction, NLP
  • Computer Vision
  • OCR
  • Speech processing and Text-to-speech
  • Business data accumulation for analytics
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BotConsole

RAPBot · Operations
Operations console for RAPBot: visibility into runs, human-in-the-loop approvals, and coordination across your automation estate.

Key Features

  • Human-in-the-loop for approvals
  • Notifications & monitoring
  • Operational visibility across RAPBot workloads
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BotStudio

RAPBot · Builder
Creation and management of user-authored RPA automation flows using a no-code / low-code flow builder.
The builder comes with prebuilt 'drag & drop' blocks for peripheral non-AI steps: browser actions, databases and APIs, Excel, Windows applications, image-based actions, data assembly, and flow control (looping, switching).

Key Features

  • Drag-and-drop RPA flow authoring
  • Browser, database, API, and desktop automation blocks
  • Excel, image-based actions, and general flow control
  • Business data accumulation for analytics
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BotWorker

RAPBot · Runtime
Execution layer for RAPBot: agents, queues, and API-driven triggers that run published automation flows.

Key Features

  • Attended Agents (trigger on-demand)
  • Unattended Agents (scheduled)
  • Virtual Agents (dynamic allocation and scaling)
  • Payload queueing
  • API triggers for automation flows
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AgenticStudio

Autonomous Workgroups
Agentic Workgroups – a hierarchy of autonomous agents working together to accomplish a goal. The autonomous Agents are also furnished with a variety of tools that they can leverage to accomplish the task.

Key Features

  • Hierarchical Autonomous Agents
  • Inbuilt Tools for Agents (such as Web Scraping etc.)
  • MCP Connectors
  • Persistent Agent Memory shareable across Agents
  • Agent Observability - Analytics and Traceability
  • Consumable from external systems and other RAPFlow platform applications
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VerifyMe

Human Review
Review & Feedback by human-in-the-loop for the AI output from agents.

Key Features

  • Traceability of AI output to document source
  • Human override
  • Productivity aids – queueing, assignment, TAT
  • API for exporting reviewed artifacts
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Orchestrator

Monitor & Visualize
Visualization of org-wide automation tasks - interactions between AIStudio, AgenticStudio, RAPBot (BotConsole, BotStudio, BotWorker), VerifyMe, human-in-the-loop, and external systems.

Key Features

  • Visualize flow-of-flows across all agents / actors
  • One-stop Backlog Monitoring
  • Business Data Storage and Analytics
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