September 6, 2024
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Gorish Aggarwal
Sales used to be about sales: talk to people, build relationships, help prospects solve problems, close deals. The Jordan Belfort way, if you will.
Then in 1999, Salesforce hit. Selling went digital. Every contact, deal, and conversation tracked. Fast forward 20+ years - sellers are drowning in tools. Slack, Zoom, CRM, deal rooms, forecasting apps - you name it. So while sellers are generating loads of data, they are... not selling. In fact, 65%+ of a modern seller's time is spent not doing sales, but in admin work and communication. Software made sales more trackable, not more efficient or effective. AI held the promise of changing that. To combine the best of both worlds: effective selling without giving up on having great data.
But AI hasn’t delivered that. Dozens of tools for call recording, data entry, etc., and not one that has made a dent in the modern seller’s effectiveness. Yet.
At Sybill, we are changing that. I am proud to announce our $11M Series A round led by Greycroft with participation from Neotribe Ventures, Powerhouse Ventures, and Uncorrelated Ventures, along with amazing angels like Ashish Gupta, Kathleen Estreich, Bryce Winkelman, Tanuj Thapliyal, and many others to bring the vision of a JARVIS for the modern seller to life.
Over the last 18 months, Sybill grew revenue 15X, tripled headcount, serves over 500 customers, and laid the groundwork to redefine how sales reps work. Reps are already saving over 2 hours in manual work each day with Sybill.
Read the full story as covered by TechCrunch, Forbes, VentureBeat, and Business Insider.
While generative AI has been having its moment since 2022, sales hasn’t seen the kind of revolutionary change that was promised, unlike engineering or marketing. Because we still don't fully get what makes great salespeople tick.
Sales is inherently human. One of the few things that AI can’t replace is our ability to connect with other humans. What AI can do though is:
This frees up the seller to do what they do best: talk to prospects, solve their problems, and close deals. This is what forms the backbone of a truly world-class assistant to the modern seller.
None of this happens unless the seller trusts the AI assistant on its accuracy, domain knowledge, and the ability to act in a way that helps the seller.
In the first phase, we’ve focused on assisting sales reps with their biggest pain points: sifting through multiple sources to find any information, writing personalized follow-up emails for every deal and taking notes in the CRM. This helps them stay on top of deals and prospects, while keeping their leadership informed.
Sybill understands the nuances of B2B sales calls - both from what is being said and how the buyers react non-verbally. Then, it combines it with the deal context and buyer information available online to craft crisp and insightful notes, clones the seller’s voice to draft relevant follow-ups, writes process-aware CRM updates, summarizes information around buyer intent, and shares information with GTM and product teams for unparalleled visibility and forecasting.
Jeff Galbraith, Vice President of Sales at Smartcat.ai, had this to say about Sybill’s deal summaries in CRM: "Before using Sybill I was always chasing down reps and listening to calls to try to find customer signals about our product and our competitors' products. Since switching over to Sybill, I can easily find all of that right in my CRM and can easily access the data as well as aggregate the data which has helped make us a much more agile sales organization. This doesn't even remotely go into all of the other benefits it has provided when analyzing the actual sales call itself. AMAZING PRODUCT!".
He’s not alone. 200+ customers have recounted their stories of how Sybill made a difference to their teams - https://www.sybill.ai/wall-of-love
We have the best AI team in B2B GTM companies. Period.
We didn’t start the company when AI became the main character in Silicon Valley. We started building Sybill in 2020, when I realized while lecturing at Stanford that it was hard to read non-verbal reactions on Zoom. Pretty soon, we discovered that this problem was the most prevalent in B2B sales, where every interaction mattered, and everything a buyer said or did needed to be put in context to move deals forward.
In the next couple of years, we talked to thousands of sellers, did thousands of sales calls ourselves, and deeply understood the pains that we are solving for. This culminated in the first version of Sybill.
Nishit, Soumyarka, Mehak and I have been building AI products and doing fundamental research in machine learning since 2013, and have built most of our models in-house. That gives Sybill a strong competitive advantage over traditional conversational intelligence tools. Sybill’s holistic, context-aware approach analyzes buyer interactions across the entire deal cycle, not just individual calls. As a result, Sybill’s deal summaries and auto-generated follow-up emails are more accurate and comprehensive than other players.
"We had eight months of not having found something we liked, trying different things, and we finally found what solved our real problems well. I'm super happy about it" said Sybill customer Suresh Matthew, CEO of Sedai.
We fundamentally understand what is possible with AI and each time a new advancement is released, we have been the quickest and most effective in transforming the latest breakthrough into more value for sellers.
This round helps us march forward to build a world-class personal AI assistant for sales reps:
We are in the early stages of building a generational company in the GTM domain - one that will alter the course of B2B sales. I’m grateful for the people who chose to join us on this journey - our teammates, investors, customers, advisors and partners.
AI in sales isn't about replacing humans. It's about amplifying what makes humans great at sales in the first place.
Sales used to be about sales: talk to people, build relationships, help prospects solve problems, close deals. The Jordan Belfort way, if you will.
Then in 1999, Salesforce hit. Selling went digital. Every contact, deal, and conversation tracked. Fast forward 20+ years - sellers are drowning in tools. Slack, Zoom, CRM, deal rooms, forecasting apps - you name it. So while sellers are generating loads of data, they are... not selling. In fact, 65%+ of a modern seller's time is spent not doing sales, but in admin work and communication. Software made sales more trackable, not more efficient or effective. AI held the promise of changing that. To combine the best of both worlds: effective selling without giving up on having great data.
But AI hasn’t delivered that. Dozens of tools for call recording, data entry, etc., and not one that has made a dent in the modern seller’s effectiveness. Yet.
At Sybill, we are changing that. I am proud to announce our $11M Series A round led by Greycroft with participation from Neotribe Ventures, Powerhouse Ventures, and Uncorrelated Ventures, along with amazing angels like Ashish Gupta, Kathleen Estreich, Bryce Winkelman, Tanuj Thapliyal, and many others to bring the vision of a JARVIS for the modern seller to life.
Over the last 18 months, Sybill grew revenue 15X, tripled headcount, serves over 500 customers, and laid the groundwork to redefine how sales reps work. Reps are already saving over 2 hours in manual work each day with Sybill.
Read the full story as covered by TechCrunch, Forbes, VentureBeat, and Business Insider.
While generative AI has been having its moment since 2022, sales hasn’t seen the kind of revolutionary change that was promised, unlike engineering or marketing. Because we still don't fully get what makes great salespeople tick.
Sales is inherently human. One of the few things that AI can’t replace is our ability to connect with other humans. What AI can do though is:
This frees up the seller to do what they do best: talk to prospects, solve their problems, and close deals. This is what forms the backbone of a truly world-class assistant to the modern seller.
None of this happens unless the seller trusts the AI assistant on its accuracy, domain knowledge, and the ability to act in a way that helps the seller.
In the first phase, we’ve focused on assisting sales reps with their biggest pain points: sifting through multiple sources to find any information, writing personalized follow-up emails for every deal and taking notes in the CRM. This helps them stay on top of deals and prospects, while keeping their leadership informed.
Sybill understands the nuances of B2B sales calls - both from what is being said and how the buyers react non-verbally. Then, it combines it with the deal context and buyer information available online to craft crisp and insightful notes, clones the seller’s voice to draft relevant follow-ups, writes process-aware CRM updates, summarizes information around buyer intent, and shares information with GTM and product teams for unparalleled visibility and forecasting.
Jeff Galbraith, Vice President of Sales at Smartcat.ai, had this to say about Sybill’s deal summaries in CRM: "Before using Sybill I was always chasing down reps and listening to calls to try to find customer signals about our product and our competitors' products. Since switching over to Sybill, I can easily find all of that right in my CRM and can easily access the data as well as aggregate the data which has helped make us a much more agile sales organization. This doesn't even remotely go into all of the other benefits it has provided when analyzing the actual sales call itself. AMAZING PRODUCT!".
He’s not alone. 200+ customers have recounted their stories of how Sybill made a difference to their teams - https://www.sybill.ai/wall-of-love
We have the best AI team in B2B GTM companies. Period.
We didn’t start the company when AI became the main character in Silicon Valley. We started building Sybill in 2020, when I realized while lecturing at Stanford that it was hard to read non-verbal reactions on Zoom. Pretty soon, we discovered that this problem was the most prevalent in B2B sales, where every interaction mattered, and everything a buyer said or did needed to be put in context to move deals forward.
In the next couple of years, we talked to thousands of sellers, did thousands of sales calls ourselves, and deeply understood the pains that we are solving for. This culminated in the first version of Sybill.
Nishit, Soumyarka, Mehak and I have been building AI products and doing fundamental research in machine learning since 2013, and have built most of our models in-house. That gives Sybill a strong competitive advantage over traditional conversational intelligence tools. Sybill’s holistic, context-aware approach analyzes buyer interactions across the entire deal cycle, not just individual calls. As a result, Sybill’s deal summaries and auto-generated follow-up emails are more accurate and comprehensive than other players.
"We had eight months of not having found something we liked, trying different things, and we finally found what solved our real problems well. I'm super happy about it" said Sybill customer Suresh Matthew, CEO of Sedai.
We fundamentally understand what is possible with AI and each time a new advancement is released, we have been the quickest and most effective in transforming the latest breakthrough into more value for sellers.
This round helps us march forward to build a world-class personal AI assistant for sales reps:
We are in the early stages of building a generational company in the GTM domain - one that will alter the course of B2B sales. I’m grateful for the people who chose to join us on this journey - our teammates, investors, customers, advisors and partners.
AI in sales isn't about replacing humans. It's about amplifying what makes humans great at sales in the first place.
