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