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Openstream.ai
Build Conversational AI Experiences That Matter

Openstream.ai
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What is Openstream.ai?

Openstream.ai offers Eva™, a visionary neuro-symbolic engine for creating advanced conversational AI experiences. The platform empowers businesses to deploy multimodal AI agents that can interact with users through text, speech, and visual cues, fostering more natural and engaging conversations.

These AI agents, including AI Virtual Agents, AI Avatars, and AI Voice Agents, are designed to enhance communication across various channels and languages. Openstream.ai's technology eliminates the need for complex scripting and mitigates the risk of AI hallucinations, ensuring reliable and trustworthy interactions.

Features

  • Knowledge Extraction: Acquires and activates enterprise knowledge to train and enable AI agents.
  • Dialogue & Reasoning: Employs neuro-symbolic AI for natural, empathetic conversations and real-time dialogue generation.
  • Multimodal Interaction & Understanding: Supports interaction through text, speech, gesture, vision, and touch.
  • Emotion & Personality: Enables defining and embodying a brand persona within the AI agent's behavior.
  • Explainable & Transparent: Provides explanations for the AI agent's actions.
  • Enterprise Orchestration: Integrates multiple AI disciplines, methodologies, and tools, including various Foundation models.

Use Cases

  • Customer Service: AI agents can interact with customers, embodying the brand persona on any channel, language, or device.
  • Help Desk: Employees can interact with AI agents for inquiries about company policies, payroll, expenses, and IT support.
  • Co-Pilots: Automating tasks, providing insights from data, and enabling faster decision-making to improve employees' productivity and satisfaction.

FAQs

  • What is Multimodal Conversational AI?
    Entrusting your brand’s reputation to virtual agents that are brought to life through AI can be a leap of faith for many organizations. Like all technologies before it, your personal experiences as an end-user, and what you’ve heard from trusted colleagues or read from publications set.

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