The #1 platform for remote sales team

Founded: 2015, San Francisco, CA, USA

Category: Artificial Intelligence

Primary office: CA, USA

Core technical team: Ramat Gan, Israel

Status: Private

Employees: 350 -500

Amount raised:

USD$333 million(6 rounds – August 2020)


  • Offers a platform to help companies understand real-time customer sentiments to products and services, identify risks or opportunity gaps in markets and deals for increased revenue
  • Distinct machine learning capability of measuring productivity of remote salespeople and recommending coaching opportunities for increased performance
  • Scaling strategy includes the adoption of machine learning, data mining and forecasting for a revenue intelligence platform that provides sales conversation analytics solutions for businesses


  • Valuation: USD$2.2 billion (2020)
  • Estimated Revenue: USD $30 million est. (2020)



  • Top 100 AI companies (CB Insights – 2018)
  • AI 50 & Cloud 100 (Forbes – 2020)
  • Best workplace (Great Place to Work-Certified™ – January & June 2020)
  • Best software company (G2 Software Marketplace – 2020)


  • Revenue Intelligence Software/Sales platform that enables the following:
    • Deal/Market Intelligence: real time actionable insights into pipeline deals based on customers’ interactions via:
      • Deal Board: quick insights into deal health
      • Deal warnings: ability to detect early warning signs attributable to lack of recent activity
      • Engagement map: for accurate sales rep engagement
      • Account page: one stop place for deal-related interactions
    • People Intelligence: provides real time data insights into remote teams’ performance and productivity and data-backed suggestions for improvement


  • Referrals through and to top Sales Executives/Sales Managers of companies
  • Enterprise scale “out-of-the-box” API integrations with most legacy systems such as CRMs, Dialers, etc.
  • Partners with Sandler Training (Global leader in B2B Sales & leadership training) for companies’ data-driven process implementation
  • Partners with Corporate Visions (a science-based, market and brand creative company) and InsideOut (a data-driven sales play development company)- to help companies deploy impactful sales play and strategies to achieve improved business and customer relations outcomes


  • Big Data, Text and Data mining,
  • Machine learning, Cloud-based infrastructure
  • Platform supports 9 major languages for easy collaboration between global teams

Distinct AI Features


  • Deep learning, Convolutional recurrent neural network (CRNN) for text recognition and text analysis


  AI use

Uses AI, machine learning and data mining to record conversations and customer interactions across several systems; automatically transcribes and provides improvable, actionable and personalized insights to enhance decision-making

Rate of return on customer’s investment to make AI work


  • Increased deal sizes, improved win rates, increased remote sales team productivity.

Long term:

  • Data-driven actionable insights for fast strategic decision making, repeat business, increased revenue, increased company value


  • Rich data CRM, recorded customer interactions.

Quantum Computing

  • Quantum computing would help improve data-extraction and mining capacity and ensure algorithmic learnings becomes more refined and smarter deal after deal.



  • Seamless and extensible API integration capabilities with existing legacy sales and collaboration applications and systems – including CRMs, Dialers, Web Conferencing, Cloud Phone systems and Calendars.
  • Highly secured proprietary virtual private cloud for its servers
  • Amazon web service (AWS) enabled software
  • Clientele includes over 1200 reputable companies who leverage on its platform to obtain insights on customer reality as opposed to opinions – e.g. Shopify, Pinterest, LinkedIn, Slack, HubSpot, etc.


  • Secured Single Sign-on (SSO) with seamless compatibility with OneLogin, G-Suite, Office365, Salesforce.
  • SSL-encryption for all data (including recordings and transcripts) both in transit and at rest
  • Transparent system status updates – uptime/availability, scheduled maintenance, security and service incidences, etc.
  • Affiliates and Referral Rewards


  • Grow customer base
  • Improve Algorithms