Enterprises seek to accelerate sales, but sales representatives often find themselves overwhelmed by time-consuming administrative tasks. Sybill, an innovative startup, has introduced a novel AI assistant to address this issue. The company recently secured $11 million in Series A funding from Greycroft, Neotribe Ventures, Powerhouse Ventures, and Uncorrelated Ventures.
Although many vendors operate in the “conversation intelligence” space, Sybill distinguishes itself by enhancing behavioral understanding. Its AI copilot can interpret the intent and behavior patterns of potential customers, providing sellers with profound insights into their interests and automating several tasks to streamline closing deals.
Founded by AI experts from Stanford University, UC San Diego, and Harvard, Sybill has already attracted over 500 enterprises as clients. The latest capital infusion will be used to expand its reach, deepen buyer insights, and further automate sales processes.
Capturing Insights from Sales Conversations
Sales representatives juggle numerous administrative responsibilities throughout the sales cycle, including transcribing conversations, analyzing interactions, and entering data into platforms like CRMs (e.g., Salesforce, HubSpot). Although this process appears straightforward, it often consumes valuable time that could be spent selling. According to Salesforce’s State of Sales survey, representatives devote only 28% of their week to actual selling, while the majority is spent on internal meetings, data entry, research, and planning.
Gorish Aggarwal, a former Stanford lecturer, recognized this challenge while managing remote classes and, together with fellow AI experts Nishit Asnani, Soumyarka Mondal, and Mehak Aggarwal, conducted extensive research to identify obstacles hindering sales productivity. This research culminated in the founding of Sybill in 2020.
Central to Sybill’s solution is its AI copilot, which records and analyzes sales calls. Upon concluding a call, it generates a comprehensive report, including a summary and transcription. Unlike similar tools like Otter, Sybill enhances the experience by analyzing non-verbal cues like smiles and distractions to glean deeper insights into conversation dynamics.
“We’ve developed proprietary computer vision models to analyze user behavior within the conversational context,” says Aggarwal. This allows sales reps to pinpoint which aspects of the discussion captivated their prospects and which parts lost their attention. The resulting call summary highlights prospects' pain points and interests to assist representatives in crafting targeted follow-ups.
While details about the models behind this AI-driven experience remain under wraps, it is powered by a mix of internal and external algorithms, including large language models, entity detection models, and other natural language processing tools.
Insights Power Automated Actions
Following the call, Sybill’s AI assistant synthesizes the newly generated insights with existing account information, including previous calls and emails, to draft personalized follow-up emails. The AI learns from prior communications, enabling users to tailor the tone and style effortlessly.
Sales representatives can send the AI-generated email instantly without the need for manual composition. They also have access to a consolidated view of all insights captured throughout their interactions, including key elements like budget, authority, needs, and timelines. This information streamlines CRM updates, eliminating the need for manual data entry as details are automatically updated with ongoing interactions.
Additionally, insights captured by Sybill AI are shared with tools like Slack, keeping relevant teams, such as sales managers, informed about deal progression.
Significant Time Savings
Since its inception, Sybill has experienced remarkable growth, securing over 500 customers, including Spot, SupportLogic, Zenhub, and Amper. The company reports a 15-fold revenue increase over the past 18 months, with more than 60% of new revenue arising from customer referrals.
Sybill offers two subscription plans: one for basic call note-taking and another for larger enterprises needing a comprehensive AI sales assistant, which includes automated follow-up emails, deal summaries, CRM synchronization, and other features. The advanced plan reportedly saves sales reps five to ten hours weekly, translating to $20,000-$40,000 in annual savings based on typical account executive compensation.
With the recent funding, bringing Sybill’s total capital raised to nearly $15 million, the company aims to enhance its AI assistant’s capabilities and automate further administrative tasks to empower sales teams.
“We want to establish ourselves as the premier source for learning about AI in sales. Sybill is at the forefront of creating the AI sales assistant, and our audience is eager to explore how to leverage AI to elevate their efforts and their teams’ performance. The sales sector is lagging behind other fields like engineering and marketing in adopting AI, and we plan to change that,” the founder stated.
While notable competitors in the conversational intelligence arena include Gong, Echo AI, and Chorus, Sybill differentiates itself by focusing not just on providing insights for decision-making but also on facilitating automated actions for sales teams.
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