Multichannel conversation ingestion
Process audio, video, text, and telephony inputs through APIs for both real-time and asynchronous workflows.
Symbl.ai is a conversational AI platform that turns voice, video, text, and chat data into structured knowledge, events, and insights. It helps developers and enterprise teams build transcription, analytics, and real-time agent workflows on communication data.
Symbl.ai is a conversational AI platform for turning voice, video, text, and chat data into structured knowledge, events, and insights. It combines understanding APIs, a proprietary conversation-focused LLM called Nebula, and embeddings tools so developers can build real-time AI agents, transcription workflows, and analytics on communication data.
The product is aimed at enterprises and product teams that need to process customer calls, internal meetings, support interactions, sales conversations, podcasts, webinars, and other multimodal communication streams. Its interface surface is developer-oriented, with low-code APIs, SDKs, and real-time processing options for building live assist experiences, notifications, and downstream analytics.
Process audio, video, text, and telephony inputs through APIs for both real-time and asynchronous workflows.
Use streaming protocols and WebSockets for live conversations, or send recorded files for post-call processing.
Add custom vocabulary and speech-model tuning to improve recognition of industry terms, keywords, and phrases.
Work with speaker separation and unlimited streaming audio connections in a single session.
Use Nebula for summarization, question answering, sentiment analysis, topic detection, intent and action-item extraction, entity extraction, drafting, and agenda generation.
Create semantic search, clustering, recommendations, classification, and ranking workflows with Nebula Embeddings.
Transcribe live calls or recorded meetings, then use speaker separation, punctuation, and output formats like SRT or markdown for review and playback.
Build voice bots, live assist tools, or other in-product experiences using low-code APIs, SDKs, and real-time conversation analysis.
Extract summaries, questions, sentiment, topics, intents, action items, and entities from customer conversations to support analysis and follow-up.
Use Nebula Embeddings to power semantic search, clustering, recommendations, classification, and ranking over conversation data.
Generate real-time notifications and identify churn signals or business growth opportunities from customer interactions.
Symbl.ai supports real-time transcription over WebSockets and streaming protocols, as well as asynchronous transcription from recorded audio, video, and text files.
The source describes Nebula as a proprietary LLM specialized for human interactions, built on the Llama-2 family and fine-tuned on conversation-specific data.
The pricing page shows a Free plan, a pay-as-you-go plan, and an Enterprise option with custom concurrency, Nebula Model API access at scale, support and SLAs, and private deployment.
The platform is presented for developers building real-time AI agents, voice bots, live assist experiences, and analytics on voice, video, and chat conversations.