Training Data for Physical AI

Gerra provides enterprise-grade multi-modal sensor fusion datasets from real-world robot deployments. Hardware-synchronized streams with sub-millisecond precision, built to scale from pilot datasets to petabyte-batch training pipelines.

Platform Overview

The Gerra Enterprise Platform enables organizations to manage and review datasets for training physical AI systems.

Key Features

Multi-Modal Sensor Fusion

Hardware-level synchronization across vision, proprioception, IMU, audio, and depth. Sub-millisecond timestamp alignment with nanosecond-precision Unix epochs.

Dataset Management Workflow

1. List Datasets - Browse all datasets with filters for data type, status, and metadata
2. Review Datasets - Download and inspect individual datasets with pre-signed URLs
3. Accept or Reject - Approve pending datasets or reject with detailed feedback

Data Formats

Dataset States

Datasets flow through the following states:

• pending - Awaiting review by your organization
• accepted - Approved for use in training pipelines
• rejected - Rejected with feedback stored in metadata

Authentication

All API endpoints require authentication using an API key in the Gerra-Api-Key header.

curl -H "Gerra-Api-Key: gerra_your_api_key" \
  https://api.gerra.com/datasets

Ready to get started? Follow the Quick Start Guide to obtain your API key.