Dataloop
Builds AI data pipelines, labeling, and human-in-the-loop automation
Updated May 2026
Overview
- Website
- dataloop.ai
- Founded
- 2017
- Headquarters
- Herzliya, Tel Aviv, Israel
- Segment
- Data Labeling & Annotation
Product overview
Dataloop is an AI development and data management platform focused on unstructured data, multimodal pipelines, and the full AI data lifecycle. It helps teams label data, automate data operations, orchestrate pipelines, and insert human feedback into model development and production workflows. The platform is especially positioned for computer vision and other vision AI use cases.
Revenue model
Enterprise SaaS platform subscriptions and usage-based services
Moat
- Proprietary Data
- Switching Costs
- Data Flywheel
Dataloop’s moat appears to be its proprietary data infrastructure and workflow integration for AI/ML teams, which can create stickiness as customers build operational data and processes on the platform. If it becomes deeply embedded in customer workflows, switching costs and data-driven learning effects may strengthen its defensibility.
Headwinds
Competition from larger ML platforms that integrate labeling as a feature rather than core product