Symbl.ai provides real-time AI agents that automate customer interactions and analyze conversations to generate actionable insights, enhancing customer satisfaction and operational efficiency. Their technology enables 24/7 support, reduces handling time by up to 30%, and offers comprehensive call scoring for performance improvement.
Funding
$23.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GVIVSBFounders
Product
Problem
Many organizations struggle to efficiently analyze and extract actionable insights from the vast amounts of unstructured data generated during customer conversations across various channels. This makes it difficult to improve customer experience, optimize agent performance, and ensure compliance.
Solution
Symbl.ai provides a platform for building real-time AI agents that analyze voice, video, and text-based conversations to automate customer interactions and generate actionable insights. The platform leverages a specialized LLM, Nebula, to understand context and sentiment, enabling businesses to create AI agents that can provide 24/7 support, assist agents in real-time, and score calls for performance improvement. Symbl.ai's platform offers a multi-agent framework, pre-built UI components, and low-code APIs and SDKs, allowing developers to quickly build and deploy personalized experiences that augment, automate, and analyze customer conversations across different channels. The platform transforms unstructured communication into intelligent, real-time assistance and automation, empowering teams with intelligent agents, real-time experiences, and unified conversation intelligence.
Target Audience
Symbl.ai targets product teams, revenue teams, data teams, and enterprises looking to build real-time AI agents, orchestrate multimodal experiences, and drive analytics from voice, video, and chat conversations.
Features
- Real-time AI Assist for providing agents with context-sensitive guidance and reducing errors
- Voice Agents for automating Q&A on inbound customer calls with personalized responses
- Call Scoring for generating quality scores based on customizable criteria
- Live Sentiment Analysis for measuring speaker's expressed feeling or enthusiasm about a specific topic
- Real-time alerts for compliance gaps to mitigate legal risks and enforce quality assurance
- Nebula LLM, purpose-built for understanding and generating empathetic human conversations in real-time across voice and text channels
- Pre-built UI components for insights and analytics
- APIs and SDKs for integrating with various platforms, including CRM, BI, and virtual meeting platforms