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People.ai

United States
San Francisco
2016
Private
$10-100m
201 - 1,000
Open website

People.ai is an AI and data platform transforming how go-to-market teams improve their sales productivity and win rates via the most comprehensive data foundation and Generative AI capabilities. With People.ai’s SalesAI platform, teams can unlock the value of their data to automate many strategic sales activities, including account planning, deal inspection, content generation, account enablement, and even forecasting. Companies such as Verizon, IBM Red Hat, Snowflake, Zoom, and Palo Alto Networks rely on People.ai’s enterprise-grade, patented AI technology.

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People.ai is a provider of Industrial IoT testing and certification, and training services, and also active in the cement, and oil and gas industries.
Use Cases
Time Sensitive Networking
Functions
Sales & Marketing
Industries
Cement
Oil & Gas
Services
Testing & Certification
Training
People.ai’s Technology Stack maps People.ai’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies1
Boosting Sales Productivity through Data Automation: A Pluralsight Case Study
Pluralsight, a technology workforce development company, was grappling with lower growth than anticipated due to issues surrounding rep productivity. Despite having access to data on win rates and pipeline coverage, the company struggled to identify the behaviors that led to consistent, predictable revenue. Two key challenges stood in the way of Pluralsight’s growth targets: the quality of CRM data and inconsistent execution from their reps. The data in Salesforce, their 'single source of truth', was often biased or incorrect due to human error in data input. As the company rapidly expanded its sales force, rep productivity declined, leading to longer ramp times, lower pipeline generation, and lower billings and ARR growth than expected. The company had several hypotheses for these challenges but lacked concrete sales engagement data to validate them.
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