Symbl.ai

What Symbl.ai does

Symbl.ai provides real-time AI infrastructure for human conversations, enabling enterprises to build AI Agents, orchestrate multimodal experiences, and drive analytics from voice, video, and chat conversations at scale. The platform offers state-of-the-art understanding and generative models, including its proprietary Nebula LLM, built for all types of communication data to transform unstructured conversations into knowledge, events, and insights. It supports real-time analysis and agentic workflows for various teams like AI, Product, Revenue, and Data teams, offering specialized LLMs, a multi-agent platform, and out-of-the-box solutions for CX workflows. Symbl.ai's technology is programmable, purpose-built for conversational nuances, and delivers real-time insights.

Products

• Nebula LLMSymbl.ai’s large language model, purpose-built to decode the complexities of human conversation. Based on the open-source Llama-2 family and enriched by continuous pre-training on high-quality conversation-specific datasets, it delivers exceptional performance in understanding, analyzing, and generating conversation-centric text. It supports multilingual processing, long context windows (up to 16,000 tokens), and is optimized for speed and efficiency.
• Nebula EmbeddingsTransforms unstructured data like documents and conversations into meaningful representations, powering applications such as semantic search, clustering, recommendations, classification, and ranking.
• Call Score APIA GenAI-powered, low-code API that evaluates the performance of AI and human agents on real-time and recorded conversations using customizable criteria and scoring logic. It provides numerical assessments and targeted feedback to evaluate conversation quality and participant performance at scale.
• Realtime Assist APIEmpowers agents with personalized, real-time intelligence during conversations using assisted AI. It evaluates sentiment, engagement, and pacing, provides precise and fast knowledge delivery, alerts for compliance, and helps track agenda.
• Summary APIExtracts clear and concise summaries of conversations immediately after the call across any channel. It generates actionable summaries with abstractive summarization models, offers high accuracy with speaker separation, and customizable summary formats and lengths.
• AI AgentsAutonomous, adaptive AI agents that understand context, follow multi-turn logic, and take action across systems, purpose-built for support, sales, and service.
• AI ExperiencesDynamic in-call and post-call AI experiences, from proactive coaching to intelligent nudges, across voice, video, and chat. Tailored, fast, and fully integrated.
• Unified Conversation IntelligenceTransforms unstructured voice and text into structured insights, measuring performance, sentiment, and trends across every interaction to drive better outcomes and compliance.

Key capabilities

• Specialized LLM and Models (Nebula)
• Multi-Agent Platform
• Out-of-the-Box Solutions
• Enterprise-Ready AI
• Real-time analysis and agentic workflows
• Multimodal interaction processing (voice, video, chat)
• Low-code APIs and SDKs
• Programmability for customized intelligence
• Purpose-built AI for human conversations
• Real-time insights (sentiment, summaries)
• Speaker diarization
• Multilingual support (English, Spanish, French, German, Italian, and more)
• Long context window (up to 16,000 tokens)
• Faster and more efficient processing
• Instruction fine-tuned on 160+ conversational tasks
• Customizable criteria for call evaluation
• Multiple channel support for Call Score API (text, audio, video)
• Pre-built UI for displaying scores and insights
• Real-time sentiment, engagement, and pacing evaluation
• Knowledge delivery from knowledge-base
• Compliance alerts
• Agenda tracking
• Abstractive summarization models
• Speaker separation for summaries
• Customizable summary formats (bullet-list, paragraph) and lengths (short, medium, long)

Use cases

• Building real-time AI Agents
• Orchestrating multimodal experiences
• Driving analytics from conversations
• Fine-tuning and building real-time RAG use cases with Nebula LLM and Embeddings
• Building live experiences in products and workflows (e.g., voice bots, live assist)
• Getting real-time notifications on customer churn signals and business growth opportunities
• Uncovering patterns and predictions by combining conversation metadata with data pipelines
• Support, sales, and service automation with AI agents
• Delivering dynamic in-call and post-call AI experiences (proactive coaching, intelligent nudges)
• Transforming unstructured voice and text into structured insights
• Measuring performance, sentiment, and trends for compliance
• Building real-time analysis and agentic workflows with code
• Sales Intelligence (topic detection, objection handling, decision maker engagement, next steps)
• Customer Service Intelligence (real-time assist apps, call progress analysis, sentiment analysis, automated summaries, key topics)
• HR Intelligence (recruiting and retaining employees, interview coaching, performance review summaries, compliance)
• Communications Intelligence (AI-powered call progress analysis, call tracking, topic analysis, automated summaries)
• Meeting HR Intelligence (real-time transcriptions, action items, workflows)
• Evaluating performance of AI and human agents
• Quality assurance for sales and customer service
• Compliance monitoring
• Recruitment (measuring biases, empathy, job description alignment)
• Generating personalized summaries for meetings
• Tracking and following up on action items
• Identifying unanswered questions in conversations
• Summarizing sales calls to identify pain points and product preferences
• Summarizing customer calls for product backlog recommendations
• Transforming product brainstorming calls
• Generating relevant keywords for podcasts to optimize web performance
• Automating note updates into CRM for customer service
• Coaching agents in real-time
• Monitoring compliance with regulations (HIPAA, GDPR, PCI)
• Quality assurance for agent performance
• Co-pilot functionality for customer calls (identifying pain points, providing information, automating note-taking)
• Semantic search
• Clustering similar conversations
• Personalized recommendations based on conversational insights
• Classifying conversations based on topics, sentiment, and criteria
• Ranking conversations
• Generating concise and informative summaries of lengthy conversations
• Understanding complex relationships and dependencies within conversations (Chain of Thought Reasoning)
• Accurately answering questions based on information extracted from conversations
• Gauging emotional tone and sentiment
• Automatically identifying and categorizing main topics
• Extracting user intents and action items
• Identifying and extracting key entities (people, organizations, locations)
• Generating human-like text for communication (email replies, chat responses, meeting summaries)
• Automatically creating meeting agendas

AI approach

Symbl.ai builds understanding and generative AI that comprehends human conversations, enabling machines to act autonomously through agentic AI. Their platform powers real-time assistance and automation by turning multi-modal, unstructured communication data into intelligent, context-aware agents. They utilize their proprietary LLM, Nebula, which is based on the open-source Llama-2 family and continuously pre-trained on high-quality conversation-specific datasets. Nebula is instruction fine-tuned on over 160 conversational tasks and also offers embeddings for unstructured data.

Tech named: machine learning, deep learning, NLP, generativeai, llms, speechtotext, summarization, conversationintelligence, embeddings, Nebula LLM, Llama-2 family, RAG, AI Agents, API, SDKs

Industries served

• Software Development
• Finance
• Education
• Hospitality
• Legal
• Real Estate
• Media and Entertainment
• Healthcare

What it says sets it apart

• Specialized LLM (Nebula) purpose-built for human conversations, trained on high-quality conversational datasets
• Multi-Agent Platform for interconnected AI agents
• Out-of-the-Box Solutions for quick implementation and customization
• Enterprise-Ready AI for every conversation touchpoint
• Programmability and low-code APIs for seamless integration and customization
• Real-time processing for immediate insights and actions
• Multimodal capabilities (voice, video, chat)
• Long context window (16,000 tokens) for comprehensive conversation analysis
• Multilingual support
• Optimized for speed and efficiency
• Instruction fine-tuned on 160+ conversational tasks
• Superior accuracy in conversation-centric tasks compared to other leading LLMs (LLaMA 2, gpt-3.5-turbo)
• Secure deployment options (Virtual Private Cloud, on-premise)
• Unified API for comprehensive call evaluation framework

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.