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People.AI

SaaS platform for revenue streams

People.AI is a Software as a Service platform for improving sales, marketing and customer service productivity.

  • Revenue management
    A unified platform that allows sales, marketing and DevOps teams to understand the structure and dynamics of revenue.
  • Analytics
    Algorithms identify key decision-makers in the company and propose the best sales strategies for each specific case.
  • Revenue data collection
    Automatically collects data during the sales process — emails, calls, meeting dates, etc.
  • Automated CRM
    All collected data is automatically collected in the CRM system for each of the clients.

The company was founded in San Francisco (USA) in 2016.

FINANCIAL PERFORMANCE PEOPLE.AI

  • Total investments: $ 100 million
  • Last Round Valuation: $ 500 Million
  • Last Round date: May 2015
  • Major Investors: ICONIQ Capital, Andreessen Horowitz, GVA Capital, Lightspeed Venture Partners, SV Angel, GGV Capital

MARKET PERSPECTIVES

Total available market — $ 40 billion
CRM market — $ 26 billion
Salesforce market and its add-ons — $ 10 billion

POTENTIAL POI

People.AI platform is used by IBM, Verizon Communications, Zoom, Cisco, Schneider Electric, VMware.

The company is constantly increasing its revenue from current customers: among customers with 1000+ employees, the Net Retention Rate is + 145%. In particular, revenue from servicing IBM over several years has grown from $ 150 thousand to $ 2.6 million.

At the same time, People.AI is attracting new customers. The number of ita clients has grown by 245% over the year.

$ 10 million is the expected revenue of the company in 2020. $ 67 million — revenue forecast in 2023.

The company intends to increase its income with a help of:

  • Expansion to new business verticals
  • New products
  • Scaling in EMEA and APG regions
  • Integration of open BI tools into the product
  • New partnerships
  • Acquisitions

In 2020, People.AI significantly accelerated the process of working with new customers: the time for the sale and implementation of the service was reduced from 9 to 4 months. Maintaining this sales cycle on a large scale will give the company a competitive edge.

HOW TO BUY

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