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AI Workflow Platform

Secure, Any Model, Full Control.

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Description

AI Workflow Platform provides businesses with a low-code environment designed for creating sophisticated AI processes and workflows. It emphasizes security, flexibility in model choice, and complete user control over the implementation. The platform aims to simplify the integration of artificial intelligence into various business operations without requiring extensive coding knowledge.

Users can leverage a visual flow builder to design workflows, integrate with a wide range of Large Language Models (LLMs), and connect to external applications and services through APIs, webhooks, and pre-built integrations like Zapier and Make.com. The platform supports advanced features such as Retrieval-Augmented Generation (RAG) pipelines and the execution of custom Python code, catering to both simple automation tasks and complex AI solution development.

Key Features

  • Low-Code Workflow Builder: Visually design and create complex AI processes.
  • Multi-Model Support: Integrate with over 150+ LLMs, including Azure, AWS Bedrock, and Together AI.
  • RAG Pipeline: Implement Retrieval-Augmented Generation for context-aware AI responses.
  • Extensive Integrations: Connect workflows with Zapier, Make.com, Zendesk, Intercom via API/Webhooks.
  • Custom Code Execution: Embed and run custom Python scripts within workflows.
  • Channel Deployment Options: Deploy AI via website chat widgets and Meta WhatsApp Cloud API.
  • Security and Control: Build secure applications with full governance over AI models and data.
  • Google Search Integration: Enhance AI capabilities with real-time web search results.
  • Remove Branding Option: Available on paid plans for white-labeling.
  • Team Collaboration Features: Included in higher-tier plans for team-based development.

Use Cases

  • Automating customer support interactions with AI-powered chatbots.
  • Building custom internal tools driven by specific AI models.
  • Integrating AI decision-making logic into existing business processes.
  • Developing bespoke AI solutions without extensive programming.
  • Streamlining data processing, analysis, and enrichment using AI workflows.
  • Connecting various AI models and services into a single, managed workflow.

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