Transform Sensor Data

into AI-ready insights

Expert annotation and AI ready pipelines for physiological, motion, and neurological sensor data.

Transform Sensor Data into AI-Ready Insights

WHY LEADING TEAMS CHOOSE iMERIT

Domain trained experts

Specialized annotators with knowledge in physiology, neurology, and movement science deliver context aware labeling for complex sensor signals.

Integrated tooling and smarter workflows

Using Ango Hub and advanced features like pre labeling, auto QC, model assisted annotation, and multilingual support, we build accurate and scalable pipelines.

Clinical and regulatory alignment from the start

Our teams follow HIPAA, PHI, and ISO 27001 aligned workflows, embedding compliance and traceability into every stage.

Flexible delivery and scalable operations

Tiered workforce models ensure consistent accuracy and speed as projects grow across new data types, regions, or trial phases.

Continuous quality oversight

Structured QA frameworks, reviewer consensus, and feedback loops keep datasets clinically reliable and ready for AI validation.

Agile product improvements

We refine tooling and workflows based on annotator insights and client feedback to keep pace with evolving real world data complexity.

End to end service

From raw signal ingestion to structured, labeled datasets, iMerit supports the entire data lifecycle to get your data AI ready.

Built for diverse biosensor and wearable AI use cases

ECG Annotation Visual

Our annotation services and tooling pipelines support:

  • ECG, PPG, SpO₂, and respiratory signals
  • Accelerometer, gyroscope, and IMU motion data
  • Sleep and activity pattern detection
  • EEG and EMG for neurological and behavioral AI
  • Multimodal sensor fusion for holistic analytics

Common Use Cases

Explore how iMerit supports different biosensor and wearable data types across AI and research projects.

Physiological Signals (ECG, PPG, SpO₂, respiration)

Expert annotation of heartbeats, arrhythmia events, pulse wave analysis, oxygen desaturation, and respiratory cycles for AI models in cardiac monitoring, stress detection, and remote patient monitoring.

Motion Data (accelerometer, gyroscope, IMU)

Labeling of gait cycles, posture, activity types, and anomaly detection for fitness tracking, fall risk analysis, and rehabilitation AI.

Sleep and Activity Patterns

Scoring sleep stages, detecting wake events, and labeling activity levels to train AI models for sleep quality analysis, wellness applications, and circadian rhythm research.

Neurological Inputs (EEG, EMG)

Event marking, wave segmentation, and artifact annotation to support AI in seizure detection, neurofeedback systems, and human behavior analysis.

Deliver value across your AI pipeline

Accuracy

Domain trained annotators, multistep QA, and expert review.

Compliance

HIPAA, PHI, and ISO 27001 aligned workflows.

Scalability

Scalability

Flexible workforce models as data and projects grow.
Speed

Speed

Smart tooling, pre labeling, and model assisted annotation.

Clinical precision

Detailed labeling at beat, event, and pattern level.

Trusted & secure

At iMerit, data security and privacy are built into every workflow. Our platform features strict access controls, granular data partitioning, and encryption for sensitive information, and complies with data privacy regulations and compliance standards. Detailed logging, monitoring, and audit trails ensure complete transparency and traceability, keeping every interaction with your data secure and accountable.

HOW IT WORKS

  1. Define your AI use case
    We scope data modalities, project goals, and annotation strategies.
  2. Annotate with integrated tooling
    Includes event tagging, segmentation, multi sensor fusion, and real time QC.
  3. Deliver model ready data
    Secure, structured, and documented datasets ready for AI training or validation.

Featured

Content

Let’s unlock your sensor data for Ai

Our expert teams, smart tools, and secure workflows help you transform complex biosensor signals into high quality, AI ready data.