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Symbient
Meet Symbient, your AI architect.

What is Symbient?

Symbient™ is a revolutionary AI platform developed by Lucus Labs, designed to transform business engagement and interaction with technology. It facilitates the seamless integration of AI into websites, products, and various technologies, aiming to elevate business operations through a suite of powerful features. The platform allows users to kickstart their AI journey by training a base Large Language Model (LLM) and further specializing models for tasks like sentiment analysis and commitment detection, tailoring the AI to specific business needs and use cases.

The platform provides tools for enhanced user engagement and operational efficiency. Features include an embeddable chatbot named LuLa for personalized website interactions based on company data, the ability to define distinct AI personas aligned with brand identity, and an intuitive drag-and-drop interface for building custom automations and workflows. Additionally, Symbient offers audio transcription capabilities for both real-time browser audio and uploaded files, alongside a 'Robo-Boss' function for real-time employee guidance and coaching, and real-time dashboards for monitoring customer interactions.

Features

  • Base-LLM Training: Train a foundational large language model adaptable to unique business needs.
  • Versatile Model Training: Develop specialized models for sentiment analysis, commitment detection, etc.
  • Embeddable Chatbot (LuLa): Engage website visitors with an intelligent, customizable chatbot.
  • Customizable Personalities: Define distinct AI personas to align with brand identity.
  • Drag-and-Drop Automations: Build custom workflows and streamline tasks effortlessly.
  • Audio Transcribing: Transcribe browser-based audio in real-time and process uploaded audio files.
  • Robo-Boss: Provide AI-driven real-time guidance, coaching, and instructions to employees.
  • Real-Time Dashboards: Monitor customer interactions live, with options to pause, intervene, and resume AI conversations.

Use Cases

  • Enhancing website visitor engagement through personalized chatbot interactions.
  • Automating business workflows using a drag-and-drop interface.
  • Analyzing customer sentiment and detecting commitment cues in communications.
  • Providing real-time AI coaching and guidance to employees.
  • Transcribing audio from meetings, calls, or uploaded files for analysis.
  • Monitoring customer service interactions in real-time.
  • Creating AI personalities consistent with brand voice.
  • Integrating hands-free virtual assistance for workforce support.

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