July 2023 Summaries

This integration allows developers to extract actionable insights from their meeting data using both Recall.ai's universal API for meeting bots and Symbl.ai's advanced capabilities in understanding and generative AI for conversations. By combining these platforms, users can unlock new levels of conversation intelligence, including sentiment analysis, topic extraction, trackers, and more. The step-by-step guide provides a detailed walkthrough on how to integrate these platforms, from setting up accounts to transcribing meetings and leveraging Nebula's LLM capabilities to extract additional insights. This integration is expected to empower developers and organizations to better understand and leverage their conversational data.

This Wednesday, July 26th, Symbl.ai is hosting a Community Meeting to announce the availability of Nebula, their new LLM. The meeting will feature three demos showcasing Nebula's capabilities and potential use cases, including its UI, API, and integration ideas. Attendees can expect to learn about the benefits of using Nebula, participate in discussions, and potentially contribute to unique community-driven integration ideas. To join the meeting, simply add it to your Google Calendar or follow the instructions provided by Symbl.ai. The meeting will be a great opportunity for those interested in learning more about Nebula and getting involved with the community.

At Symbl.ai, organizations can deploy their own large language model (LLM) infrastructure to utilize proprietary data protection and control over their data, ensuring compliance with regulatory requirements. The on-prem deployment option offers optimized performance, supports long conversations, is cost-effective, and provides enhanced data protection control. The solution also includes four types of conversation summaries: short, long, list, and topic-based, enabling organizations to extract key insights from multi-party conversations across various domains.

Symbl's RevOps solution is designed to enhance productivity for businesses using CRM platforms like Salesforce, Hubspot, and Pipedrive by addressing call observability and CRM data fidelity gaps. The solution is powered by Symbl's generative AI model Nebula, which can auto-populate data into CRM or similar Martech and RevOps data platforms, providing consistency, unbiased data capture, hyperscale, and high cost efficiency. By leveraging AI to extract critical information from sales call records, organizations can improve visibility and accuracy with sales reports and revenue forecasts, quality measurement of revenue, marketing and sales KPIs, and enhance sales process optimization through data-driven insights. The solution also enables real-time forecasting, coaching opportunities, and cross-functional decision-making with market signal and competitive intelligence, ultimately driving revenue growth.

The Symbl.ai Conversation Intelligence Platform has introduced a new programmable API addition called Call Score, designed to help developers innovate quickly with their platform. The new API provides a numerical assessment and explanations of conversation quality and participant performance at scale, making it easier for users to identify and compare similar conversations. Call Score offers automation at scale, adapts to business context, and provides context-rich output, setting it apart from other AI solutions that may only perform keywords matching. The platform's generative AI model immerses into each conversation engagement to reach accurate human-like conclusions with speed, accuracy, and repeatability. With a low-code API option, developers can expedite speed-to-value and reduce development time required for creating call analysis solutions.

The Symbl.ai Conversation Intelligence Platform offers a range of features to help businesses optimize their conversations using AI, including purpose-built APIs and flexible UIs. The new Insights UI API is designed to be programmable and customizable, allowing developers to create tailored solutions quickly and efficiently. This API combines multiple data elements such as Sentiment Analysis, Summary, and Questions to provide deeper insights into conversation engagement and analysis. With its low-code option, Insights UI enables businesses to innovate with Symbl-powered solutions without requiring extensive developer expertise. The API supports multiple out-of-the-box UX customizations, allowing developers to control the look and feel of the UI, and includes features such as Summary, Sentiment, Next Steps, Objections, and Questions and Answers.

Symbl.ai is launching a Private Beta of its large language model (LLM), Nebula, which aims to facilitate human conversations in various business scenarios such as sales calls, meetings, customer calls, and emails. The model can analyze conversation transcripts and generate responses based on the instruction or question provided. Developers can integrate Nebula through an easy REST API and adjust generation parameters to suit specific use cases. A Model Playground allows users to test Nebula without writing code, featuring available conversation transcripts and prompt suggestions. Nebula has potential applications in sales intelligence, customer support, meeting productivity, recruitment, training, workflow automation, data analytics, healthcare technology, finance, and insurance technology. Symbl.ai invites developers to apply for its Startup program or sign up as a model tester to access the Nebula model and push the boundaries of conversation understanding.