Sybill has raised an $11M Series A round to supercharge its AI assistant for salespeople

As general-purpose AI-powered assistants proliferate, several AI companies have hurried to differentiate themselves by tailoring their products to specific industries and use cases. The last few weeks, for instance, saw a flurry of legal tech companies raising funding for their AI-powered platforms and assistants. Sybill is one of these cases, and it wants to set itself apart from the competition with its unique approach to B2B sales processes. Unlike traditional conversational assistants, Sybill offers a holistic, context-aware solution that analyzes buyer interactions across the full deal cycle.

Since its first version, Sybill has been based on the shared experience of thousands of sellers, and the founders' acquaintance with the sales calls process. This appreciation of salespeople's most salient pain points underlies Sybill's deep understanding of B2B sales nuances. The company's AI team, led by experts with a background in machine learning since 2013, has built most of its models in-house, giving them a significant edge by ensuring that deal summaries and auto-generated follow-up emails are more accurate and comprehensive than those of general-purpose conversational assistants.

In addition to recording and summarizing calls, and performing data entry, Sybill captures verbal and non-verbal behaviors, understands product and company context, and synthesizes insights from multiple sources. The processed information can then be leveraged to deliver more accurate deal summaries, personalized follow-ups, and actionable insights.

The company's recent $11M Series A funding round —led by Greycroft with participation from Neotribe Ventures, Powerhouse Ventures, Uncorrelated Ventures, and a selection of angel investors— underscores investor confidence in their approach. With plans to build a first-of-its-kind sales AI infrastructure, Sybill aims to transform B2B sales by amplifying human capabilities rather than replacing them.