This profile is not managed yet, if you would like to manage
this profile, please contact us at team@iotone.com
Aviso Logo

Aviso

United States
Redwood City
2014
Private
$10-100m
51 - 200
Open website

Aviso is the end-to-end AI-powered Revenue Operating System that helps GTM teams deliver 98%+ accurate forecasts, predict future pipelines, and help sellers deliver more value. Customers run business their way on Aviso, which doesn't require them to change their internal processes based on their CRM.

Read More
Aviso is a provider of Industrial IoT cybersecurity and privacy technologies, and also active in the glass, and oil and gas industries.
Technologies
Cybersecurity & Privacy
Identity & Authentication Management
Use Cases
Demand Planning & Forecasting
Inventory Management
Functions
Sales & Marketing
Industries
Glass
Oil & Gas
Aviso’s Technology Stack maps Aviso’s participation in the cybersecurity and privacy 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
Aviso's AI-Driven Solution Empowers Seagate's Transition to Subscription Model
Seagate Technology, a renowned data storage company, was facing a significant challenge in transitioning its business model from OEM and channel distribution to a subscription-based model. The company wanted to consolidate its forecasting processes across various teams and business segments, and sought to use deal rooms for collaboration with both internal and external stakeholders. However, Seagate's sales teams lacked the necessary experience in the subscription business model. They also struggled with the quick movement of large volumes of data in the revenue cycle with customers and had an insufficient customer-facing and user sales organization that could interact directly with customers within the Go-To-Market (GTM) strategy.
Download PDF Version
test test