Transformative AI for Your
Most Valuable Asset
Symbl.ai’s conversation understanding platform enables you to easily process, analyze and convert unstructured conversation data to generate summaries, analyze sentiment, classify topics, extract intents, enable live captioning and more.
Get started with flexible APIs that can integrate to your customer experience journey and go beyond just transcription with deep understanding and context.
Keyword, Phrase & Intent Detection
Integrate keyword and phrase matching and intent detection powered by semantic similarity and machine learning – both in real-time in less than 400 milliseconds and via batch / asynchronous requests.
Get audio and video summarization that is abstractive, descriptive and context-aware with a single API call. Built with almost 5x lesser inference time and superior understanding.
Automatically detect and generate extracted, abstract and hierarchical topics in real-time from any conversation.
Speech to Text
Integrate the most accurate real-time and asynchronous speech recognition API that is built for unstructured human conversations and also enables you to add intelligence with a single API call.
Generate talk-to-listen ratios, words per minute, talk time, overlap along sentence level and topic based sentiments to enhance user or agent conversation analytics.
Leverage pre-built UI and components for voice, audio, and text data. Easily customize UI look and feel, and integrate into your application or workflow.
Powered by Symbl.ai
Build and Scale
Built for scale: designed for reliability, performance and customization
Enterprise grade security: SOC2 Type II, PCI, HIPPA, GDPR, and CSA CAIQ
Speed to market: ready-to-use and and customizable ML models
Easy integration: Comprehensive APIs and SDKs
Enterprise support: dedicated account support and committed SLAs
Flexible plans: get started with no usage commitments and scale as you grow
Why Build with Symbl.ai?
Symbl.ai’s conversation intelligence platform removes the pain of building, maintaining and scaling the machine learning infrastructure you need to understand conversations contextually. Scale faster and lower tech debt by eliminating the overhead of MLOps and Data Engineering from your product and engineering investments.