Suppliers Belgium Timeseer.AI
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Timeseer.AI

Belgium
2020
Private
< $10m
11 - 50
Open website

Timeseer.AI is a time-series Data Operations (DataOps) software company. The goal of its software is to automate the overall data Orchestration throughout an organisation to deliver high-quality, on-demand data to organisational customers. Timeseer.AI time-series data reliability platform does this by empowering data teams with the capability of enabling reliable time-series analytics through improved data quality and observability. The software has the ability to detect, prioritize, and investigate data downtime before it hits operations. The Timeseer.AI team is also a passionate group of highly driven, serial entrepreneurs with the know-how and motivation for success, and the ambition to solve the primary bottlenecks in data adoption to become #1 for time-series data quality/observability. The company’s European headquarters are in Hasselt, Belgium, and its United States headquarters are in Houston, Texas.

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Timeseer.AI’s Technology Stack maps Timeseer.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 Podcasts1
EP 205 - Al and IoT: Building Trustworthy Time-Series Data - Bert Baeck, Co-founder & CEO, Timeseer.AI
Monday, Aug 05, 2024

In this episode of the Industrial IoT Spotlight Podcast, we interviewed Bert Baeck, Co-founder and CEO of Timeseer.AI. Timeseer.AI is revolutionizing time-series data operations by automating data orchestration across organizations. Bert shared his journey from a background in data science to becoming a serial entrepreneur, with successful ventures like TrendMiner and now Timeseer.AI. 

We discussed the impacts of data downtime and strategies to ensure data quality, empowering data teams to detect, prioritize, and investigate data quality issues before they affect operations.

Key Discussion Points:

The critical role of data quality in industrial IoT and OT environments.

How to establish metrics for measuring data quality.

Real-world examples where data quality significantly impacts business operations.

Timeseer.AI’s philosophy of scanning data where it resides, whether on the edge, in storage units, or in the cloud.

The interplay between IT and OT teams in ensuring data quality.

To learn more about our guest, you can find him at:

Website:  https://www.timeseer.ai/

LinkedIn:  https://www.linkedin.com/in/bertbaeck/?originalSubdomain=be

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