Sybill AI: Funding, Investors & Team (Oct 2026)

Sybill is transforming sales intelligence by allowing teams to focus on building relationships and closing more deals while reducing time spent on administrative tasks. As the most accurate AI sales assistant, Sybill automates call summaries, drafts personalized follow-up emails, and automatically updates the CRM with actionable insights from sales conversations. How Sybill stands out from the competition: - Analyzes all calls and emails in an opportunity to provide holistic insights and summaries, rather than only based on individual calls. - Unlike generic LLMs, the Sales-RAG system blends sales context along with company and deal specifics for laser-focused relevance. - Easy-to-use interface powering tremendous self-serve growth. Capabilities: - Records and summarizes sales conversations with precision. - Captures and syncs meeting summaries, next steps, pain points, and other important information with CRM. - Draft follow-up emails tailored to the seller’s style and call context. - Updates CRM with key opportunity fields, summarizing budget, buyer, competition, and buying process information (leveraging methodologies like BANT, MEDDICC, and SPICED). Trusted by over 500 high-growth companies, Sybill is transforming sales and revenue operations across industries. Our founders, experts in machine learning and human psychology from Stanford, Harvard, and UCSD, have created Sybill to uncover critical 'aha!' moments and buying intent, beyond basic transcription and keyword searches.

Sybill AI has raised $11.0M across 1 round on record. The most recent is a Series A of $11.0M announced in Jul 2024.

Sybill AI's most recent funding round on record is a Series A of $11.0M, announced in Jul 2024.

FundedIQ lists Gorish Aggarwal (Founder) at Sybill AI.

Sybill AI is based in Mountain View, California, United States.

Sybill AI is in the 11-50 employee band.

Sybill AI's latest round of $11.0M is above the $6.0M median round size for Artificial Intelligence companies on FundedIQ across 7,243 tracked companies over the last two years.