Timeseer.AI’s cover photo
Timeseer.AI

Timeseer.AI

Software Development

On a mission to reduce the number of data quality ⚡️ incidents that hit in operations with 10x 📉

About us

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. Keywords: #DataOps #DataObservability #DataReliability #DataQuality #DataIntegrity #DataManagement #AIoT #IoT #DataAugmentation #DataUniformisation #TimeSeries #DataOperations #IndustrialSoftware

Website
http://www.timeseer.ai
Industry
Software Development
Company size
11-50 employees
Headquarters
Antwerp
Type
Privately Held
Founded
2020
Specialties
time-series, IoT, AIoT, data quality, data observability, data reliability, industrial software, Machine Learning, AI, sensor analytics, data integrity, DataOps, Data Operations, Data Governance, Data Management, Data Augmentation, Data Curation, Data Uniformisation, and Data Engineering

Locations

Employees at Timeseer.AI

Updates

  • Timeseer.ai is invited by SWAN - The Smart Water Networks Forum to join SWAN's Digital Water Programme at Aquatech Amsterdam. 💡 From Data Streams to AI Dreams: Water Management 4.0 Join Adriaan Van Horenbeek (Timeseer.AI) at the Technology Case Study Showcase, starting at 3:30 PM CET, hosted by Wayne Byrne (Burnt Island Ventures). He will be joined by: - Thomas Bennett (UDlive) - Jorge Helmbrecht (Xylem Vue) - Slavco Velickov (Bentley Systems) - Chad Feather (Daupler)

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  • ✨ Generative AI ✨ is not only about text or image data. Imputing missing segments in time series profiles is a valuable and intriguing use case. The example below is from the Timeseer.AI data quality and observability platform 🔥.

  • Timeseer.AI reposted this

    The data we record is rarely identical to the physical parameters we aim to measure. Understanding the origin and processing of data is crucial for accurate analysis and decision-making. Here are some key factors that shape the quality of recorded data: 1) Measurement artifacts like noise, quantization, and (potentially lossy) compression influence the data transmitted and stored. 2) The nature of the signal (e.g., setpoint vs. continuous parameter) and whether data is equidistant impact interpolation and aggregation methods. 3) Distortions such as sensor malfunctions, storage issues, or pipeline glitches can skew results. One common and impactful issue is stale data—where retrieved values no longer reflect the current state of the system. Stale data, along with other quality issues, can have a variety of adverse effects: - Incorrect billing - Unreliable digital twins - Failure to scale AI/ML models - Faulty reports and dashboards - Process or asset downtime - Safety concerns - ... At Timeseer.AI, our mission is to detect and mitigate these data quality issues in a robust, accurate, and scalable way. I’d love to hear your experiences with sensor data quality challenges! Drop a comment below or give this a thumbs-up if this resonates with you.

    • Time series data in IoT - data recorded vs physical reality
  • View organization page for Timeseer.AI

    2,390 followers

    Come meet our own Adriaan Van Horenbeek at the World Water-Tech Innovation Summit 25-26 February in London! https://lnkd.in/gk4c4zuQ

    View organization page for World Water-Tech

    8,916 followers

    🌟 Start-Up Spotlight: Revolutionising Data Quality for Water Utilities with Timeseer.AI Timeseer.AI ensures the backbone of digital transformation—sensor, meter, and IoT data—becomes a trusted resource. Using an AI-driven approach, they verify, validate, and clean time-series data at scale, powering accurate leak detection, digital twins, reporting, and more. Meet the innovators behind the future of data-driven water solutions: https://lnkd.in/ebWYgPuX 🔗 Register now to connect with Timeseer.AI and other trailblazing start-ups at the World Water-Tech Innovation Summit, this February 25-26:https://lnkd.in/d-8vpcF #WorldWaterTech #StartUpSpotlight #WaterInnovation #AI #DigitalTransformation

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  • Here are our top 10 IoT/OT Data Quality and Data Engineering Predictions for 2025 🌐💡

    View profile for Bert Baeck

    On a mission to help the connected industry battle the big brain drain with AI ⚡ | Co-founder & CEO

    🌟 The future of connected industries is here, and it’s all about TRUSTED DATA. With IoT/OT devices surging past 30 billion, data quality is no longer a "nice-to-have"—it’s the backbone of digital transformation.  Here are my top 10 IoT/OT Data Quality and Data Engineering Predictions for 2025 🌐💡 https://lnkd.in/eDkrfB5X Timeseer.AI

  • Again an excellent content piece by David Ariens. It is worth the read and he is always open to feedback! https://lnkd.in/gd4i6eQi 

    View profile for David Ariens

    Writes The IT/OT Insider | Passionate about a Data Driven Industry | Manages Analytics For Industry

    I published my first 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐌𝐚𝐩 today. The Industrial DataOps landscape is very noisy today, and this is my way of to get some clarity. 𝐈 𝐞𝐧𝐝𝐞𝐝 𝐮𝐩 𝐰𝐢𝐭𝐡 7 𝐦𝐚𝐢𝐧 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 + 3 supporting ones. End users can use this article as part of an RFI/RFP. Technology vendors might use this to map the stuff they are doing. But more importantly, for me personal, it's a way to structure my own thoughts and discussions with all of you. These 7 main Capabilities are (see the article for in-depth explainers) 1 - Connectivity 2 - Contextualization & Data Management  3 - Data Quality  4 - Data Broker & Store 5 - Analytics  6 - Visualization  7 - Data Sharing They all have a Deployment model and are Supported by 3 supporting Capabilities: - Cyber Security  - User Management - Life Cycle Management (Monitor, Deploy, Update) I also published a list of vendors who tick at least one of these boxes. I will probably extend this list in future releases. (i'll tag some of you in the comments as well) I also welcome all and any feedback (although I might not agree with it ;)) And obviously also reposts 😀 The article is published on The IT/OT Insider: https://lnkd.in/eJBPtZWy  #dataops

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  • Top 10 Insights Bert Baeck Gained on the Future of Data Quality Management at MCdata Impact 2024 🔍✨

    View profile for Bert Baeck

    On a mission to help the connected industry battle the big brain drain with AI ⚡ | Co-founder & CEO

    I guess I'm the first to post insights… just one minute after the conference wrapped up! 🏆📅 Talk about real-time reporting! 😉 I attended the MCdata Impact Conference today and am excited to share insights that will also inspire us to further shape our platform at Timeseer.AI, with a particular focus on IoT/OT data. Here are the top 10 things I’ve learned about the future of data quality management: https://lnkd.in/eKJkkSWX Great jobs, friends at MCdata. 👏 🎬 Remarks or thoughts? Let me know!

  • Timeseer.AI and delaware BeLux partner to enhance sensor data quality in the Microsoft Azure and Databricks ecosystem   Timeseer.AI, a leader in Operational Technology (OT) and Internet of Things (IoT) data software, aims to address the quality challenges of OT and IoT data. This data is essential for all data-driven solutions across industries and organizations, including reporting, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics. Timeseer.AI have now partnered with delaware, a global consulting company delivering advanced ICT solutions and services, guiding clients through their business and digital transformations. With partnerships including SAP, Microsoft, Salesforce, OpenText, and Databricks, delaware leverages technology partners such as Timeseer.AI to create an omnichannel customer experience.   “We are thrilled to announce our strategic partnership with delaware. They are leaders in implementing digital technologies and accelerating digital transformation for their clients. By combining our strengths, we will enable our clients to move forward with high-quality data. Stay tuned for exciting developments as we embark on this transformative journey,” comments Niels Verheijen, CRO at Timeseer.AI.   Maarten Herthoge, Solution Architect and Manager at delaware, adds: “By leveraging Timeseer.AI, we eliminate uncertainty when handling sensor data and enhance overall data quality in our clients’ data platforms. This low-code to no-code approach is understandable for all stakeholders involved, freeing up resources on both our side and the client’s side, and allowing us to focus on delivering business value with a shorter time-to-market.”   High-quality sensor data is essential for manufacturing companies, ensuring precise monitoring and control of production processes. Reliable data facilitates real-time decision-making, minimizes downtime, and enhances efficiency. In today’s data-driven landscape, the accuracy and reliability of sensor data are fundamental for maintaining a competitive edge. By combining delaware’s expertise and experience in driving digital transformation with Timeseer.AI’s advanced technology, we enable our clients to leverage superior sensor data quality, accelerating their AI initiatives and driving impactful results.   “As an advisory board member for Timeseer.AI, we are committed to helping them evolve and strengthen their position in the sensor data space. We specifically appreciate their focus on driving business outcome for customers and making data accessible. Their partnership with our long-standing partner delaware acknowledges that, and we look forward to the benefits it will bring to our customers,” adds Johan Torfs, ISV Lead at Microsoft BeLux.   This partnership marks a significant step forward in enhancing data quality and driving digital transformation for clients. Bert Baeck Adriaan Van Horenbeek Margot Neyens Dries Storme Adriaan Van Horenbeek

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