Data operations for entire organizations
Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access.

Integrate
Integration with your cloud storage and direct M2M uploads via REST API
Automate
Automate data ops directly from your code with our Python SDK
Operate
Transparent and consistent management of your datasets
Product features
Data Management
Search, edit and query data by item info, metadata, annotation status and much more. Sort and filter your datasets, then automatically distribute items for annotation and QA


Storage Management
Seamlessly integrate your cloud storage with our platform, to directly display, query and access your data via our serverless infrastructure
Sensor Fusion
Combine input from multiple sensors to receive precise, decisive and comprehensive data output. Supporting everything from images and videos to multi-modality, 3D and LiDAR (coming soon)


Analytics Dashboards
Receive real-time insights into annotation progress, workforce productivity, time spent per item or annotation, labeling outcomes, performance, cost usage, reporting and more
Dataloop API
Publically accessible Rest API for Machine-to-Machine integrations, enabling bulk data uploads, direct communication with your data sources, and production-grade inference


Dataloop SDK
Python SDK for full flexibility in building your custom data pipelines, including model training, active learning, model integration and any other automation function or logic
Explore more of our platform
Annotation
platform
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
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Production
Pipelines
Build custom automation pipelines within our serverless environment, to reach production faster and scale indefinitely.
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