Ezako Data Annotation Service

Secure, expert human annotation compliant with European standards

We provide large scale annotation services for audio signals, time series data, and SIGINT-type signals, combining trained human expertise, industrial grade processes, and strict European security and compliance requirements.

Our services are designed for organizations developing mission critical AI and signal processing systems, including defense, maritime, intelligence, industrial, security, research, and strategic infrastructure applications.
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Supported use cases

Our team annotates audio and acoustic data with high precision, handling continuous recordings as well as individual events. We perform temporal segmentation, identify and classify sound sources, produce transcriptions, and provide semantic descriptions, with multi-layer labeling for machine learning applications.

We annotate multivariate time series from complex sensor systems, covering event detection, temporal labeling, anomaly ground truth creation, and regime or pattern classification. Annotations are aligned across synchronized data streams to ensure temporal consistency for downstream modeling.

We provide expert annotation of complex signal patterns, including the identification of signal events and behaviors, segmentation and classification of emissions, and the generation of structured metadata for signal processing and intelligence analysis workflows.

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Expert human annotation in controlled environments

Each annotator follows:
- clearly defined and documented annotation guidelines,
- domain specific labeling protocols,
- strict operational security procedures,
- continuous supervision and quality monitoring.

Annotation is primarily human driven, with optional software assistance where appropriate, ensuring high precision, inter annotator consistency, and full traceability.

Data protection and sovereignty are core to our operational model. Data hosted and processed exclusively within the European Union. No offshoring or non EU subcontracting. Strict access control and identity management. Isolated project environments per client.

Formal definition of labeling schemas and ontologies. Measurable quality metrics and acceptance thresholds. Human cross validation and review loops. Full traceability of annotation actions and revisions.

Deliverables are structured, documented, and ready for integration into MLOps pipelines, signal processing systems, or advanced research environments.

Unlike unmanaged crowdsourcing platforms, we rely on dedicated and trained annotation teams, reproducible and documented operational processes, rigorous project management and reporting, a single accountable point of contact.

This model ensures consistent quality, controlled confidentiality, and reliable execution for sensitive and strategic datasets.

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