Skip to main content
D

Datavision

Datavision provides an AIOps platform that utilizes machine learning for observability and root-cause analysis, enabling organizations to monitor their IT applications and infrastructure effectively. By reducing troubleshooting time by up to 40% and IT operating costs by over 20%, the platform enhances application performance and preemptively addresses user experience issues.

Barcelona, SpainFounded 20193200+ followers
Updated 4 months ago

Funding

$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations often struggle with effectively monitoring their IT infrastructure and applications, leading to prolonged troubleshooting times and increased IT operating costs. Identifying the root cause of performance issues and security incidents can be challenging, resulting in delayed resolution and negative impacts on user experience. Existing monitoring tools may lack the comprehensive visibility needed to proactively address potential problems.

Solution

Datavision offers an AIOps platform that leverages machine learning to provide comprehensive observability and root-cause analysis for IT applications and infrastructure. The platform analyzes IT assets to identify production and security incidents, enabling users to drill down and quickly pinpoint the underlying causes. By providing end-to-end visibility of the user experience, Datavision helps organizations detect and avoid performance issues, allowing for preemptive customer service. The platform operates in both on-premise and cloud environments, offering flexible deployment options to suit various IT landscapes.

Target Audience

Datavision targets organizations seeking to enhance the performance of their IT applications, quickly identify the root cause of issues, understand their customer journey, and apply preemptive customer service.

Features

  • ML-based observability for identifying production and security incidents
  • Root-cause analysis to improve application performance
  • Flexible deployment options for on-premise and cloud environments
  • End-to-end visibility of the user experience
  • Preemptive alerting to avoid customer impact
  • Log analytics
  • Application performance management
  • Cybersecurity and compliance monitoring
  • IoT device monitoring
This profile is AI-generated and may contain inaccuracies.