AI TOOL PROFILE

Fluid AI: Enterprise Agentic AI Platform

Fluid AI helps organizations automate complex workflows. It is designed for buyers who require flexible deployment options, such as on-premise or hybrid cloud, to meet security and compliance needs.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Enterprise companies, Mid-market companies, Organizations with high data security requirements
Key use cases
Customer Support Automation, Employee Productivity, Sales Assistance, HR and Recruitment Automation
Integrations
Snowflake, SAP, Salesforce, Slack, Microsoft Teams
Visit Fluid AIFluid AI software interface screenshot

How AI is used

Fluid AI is an agentic AI platform designed for enterprise deployment. It uses a multi-agent system where specialized AI agents handle planning and execution to support business operations across voice, chat, and email channels.

The platform is built for organizations in sectors such as banking, finance, manufacturing, and telecom. It supports the ingestion of structured and unstructured data to build a customized organizational knowledge base.

Buyers can choose from several deployment models, including private cloud and air-gapped on-premise setups, which may help maintain data sovereignty. The system also allows users to select and switch between different Large Language Models (LLMs) based on project needs.

Buyers should confirm if the stated implementation timelines, which range from 7 to 60 days, align with their project goals and verify that the available API integrations cover their specific software requirements.

Key Features

  • Agentic RAG

    A retrieval-augmented generation engine designed to pull real time data from enterprise knowledge bases to provide context-aware answers.

  • Multi-Agent Workflows

    Uses specialized AI agents that collaborate to plan and execute multi-step business processes.

  • Flexible Deployment

    Supports public cloud, hybrid cloud, and on-premise or air-gapped installations for data privacy.

  • Dynamic LLM Orchestration

    Allows organizations to choose and switch between different language models to fit specific domain requirements.

  • Hallucination Shield

    A verification layer designed to review AI responses and support the reliability of the information provided.

  • No-Code Customization

    Includes a drag-and-drop interface for configuring AI agents and workflows.

Use Cases

  • Customer Support Automation

    Using AI agents to handle customer queries and provide real time information retrieval via chat or voice.

  • Employee Productivity

    Supporting internal teams with automated knowledge retrieval and HR assistance to help reduce repetitive tasks.

  • Sales Assistance

    Providing sales teams with access to CRM data and customer insights to support lead management.

  • HR and Recruitment Automation

    Automating candidate communication and interview scheduling through dedicated AI agents.

Integrations

  • Snowflake
  • SAP
  • Salesforce
  • Slack
  • Microsoft Teams
  • Google Drive
  • Confluence
  • Gmail
  • Google Calendar
  • WhatsApp
  • Jira
  • SQL databases

FAQ

What is Fluid AI?

Fluid AI is an enterprise-ready generative AI platform that provides multi-agent workflows, AI chatbots, and voice bots to help organizations automate internal processes and customer experiences.

How is Fluid AI deployed?

The platform supports multiple deployment models, including public cloud, hybrid cloud, and fully private on-premise or air-gapped installations.

Does Fluid AI integrate with other business tools?

Yes, it supports over 1,000 APIs and integrates with tools such as Salesforce, Slack, Microsoft Teams, Snowflake, and SAP.

How long does it take to implement Fluid AI?

The provider states implementation can be completed in as little as 7 days, though some deployment timelines are mentioned up to 60 days.

Source category: Software Development

Source subcategory: AI Agent Platform

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