Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

The new platform aims to harmonize, label, and prepare complex multimodal time-series data for machine learning and advanced analytics.

Published on Feb. 10, 2026

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Sophelio, an applied AI and machine-learning company, has announced the launch of the Data Fusion Labeler (dFL), a platform designed to harmonize, label, and prepare complex multimodal time-series data for machine learning and advanced analytics. The platform is said to reduce weeks or months of manual data preparation into hours, enabling teams to move models into validation and production faster.

Why it matters

As interest in data harmonization for multimodal time-series data grows, teams are increasingly evaluating a wide range of data labeling and preparation tools. dFL aims to address the challenges of applying traditional labeling tools to real-world sensor data, providing a unified workflow for data ingestion, preprocessing, visualization, automated and manual labeling, and machine-learning-ready export.

The details

dFL has been in development for more than a year, created to meet the extreme data requirements of fusion energy research. Since then, the platform has been expanded and refined to support a broad range of data-intensive applications. dFL enables teams across advanced manufacturing, energy systems, robotics, climate science, and applied research to transform heterogeneous, noisy, and asynchronous sensor data into coherent, ML-ready datasets.

  • The Data Fusion Labeler (dFL) was launched on February 10, 2026.
  • dFL has been in development for more than a year.

The players

Sophelio

An award-winning applied AI and machine-learning company that has developed the Data Fusion Labeler (dFL) platform.

Craig Michoski

The Co-Founder of Sophelio.

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What they’re saying

“dFL reflects both where we came from and where we're going. It grew out of real-world fusion research, where reproducibility and data integrity are essential. We've evolved it into a general-purpose platform that helps teams turn raw, fragmented signals into reliable datasets in minutes instead of weeks or months.”

— Craig Michoski, Co-Founder of Sophelio

What’s next

The Data Fusion Labeler (dFL) is now available, with a beta version already live and in use. Early access to the dFL beta is available at https://dfl.sophelio.io.

The takeaway

Sophelio's Data Fusion Labeler (dFL) aims to address the challenges of data preparation for machine learning by providing a unified platform to harmonize, label, and prepare complex multimodal time-series data, reducing the time-to-analysis and enabling faster deployment of machine learning models.