Upalgo DB
Structured storage for data and labels you can trust
Upalgo DB is the foundation layer of the Upalgo suite. It stores raw data, labels, and metadata in a single, structured system designed for long-term AI projects. As datasets grow and evolve, Upalgo DB ensures traceability, security, and reproducibility without adding operational complexity.
Supported Data Types
Environmental audio, industrial sounds and underwater acoustics.
Sensor data, telemetry, monitoring systems, and multivariate time series.
Spectrograms, RF signals, SIGINT, ROEM, and other frequency-domain representations.
Upalgo DB solves label storage
Traditional storage systems are designed to store files, not to manage labeled datasets. Data is stored in one place, while labels and annotations are handled separately, often through spreadsheets, scripts, or ad hoc tools. Over time, this separation leads to lost context, broken links between data and annotations, and uncertainty about which labels were used for which experiments.
Upalgo DB is built specifically for AI workflows. It keeps raw data, labels, metadata, and their full history connected in a single system. Every change is versioned and traceable, making experiments reproducible and datasets auditable from day one, even as projects grow and evolve.
Upalgo DB is built specifically for AI workflows. It keeps raw data, labels, metadata, and their full history connected in a single system. Every change is versioned and traceable, making experiments reproducible and datasets auditable from day one, even as projects grow and evolve.
Upalgo DB is designed to support expert review and validation at every stage, ensuring that data and labels can be continuously improved with human oversight.
Multiple users and teams can work on the same datasets while keeping roles, permissions, and responsibilities clearly defined.
Labeling tasks, reviews, and validations are structured and tracked, making progress visible and workflows predictable.
Upalgo DB handles growing volumes of data, long retention periods, and repeated dataset reuse without losing structure or performance.
Every change to data and labels is recorded, making it easy to understand who did what, when, and why.
Designed to integrate with your workflows
Upalgo DB is built to work seamlessly with labeling workflows and external AI pipelines. It ensures that data and labels remain accessible, portable, and usable across tools and teams, without locking you into a closed ecosystem.
Native compatibility with Upalgo Labeling
Upalgo DB integrates directly with Upalgo Labeling, allowing data, labels, tasks, and reviews to flow without duplication or manual synchronization.
