- Home
- Active Learning Tools
- Dataloop
Dataloop
Tel Aviv, Israel
What it is
Dataloop is an enterprise AI development platform for building applications with unstructured and multimodal data. It supports images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal workflows. Teams can use off-the-shelf or custom models, then version, compare, experiment, and fine-tune them. Drag-and-drop pipelines or the Python SDK coordinate data, models, and human feedback, including RLHF workflows. A marketplace provides models, datasets, templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, and several container registries. Security controls include GDPR compliance, ISO 27001, ISO 27701, SOC 2 Type II, AES-256 encryption, TLS 1.2 or higher, role-based access, single sign-on, two-factor authentication, and activity logging. Deployment can be on premises or in private storage. Pricing is arranged through a demo.
For and against
For
- Handles many unstructured data types
- Supports custom and off-the-shelf models
- Drag-and-drop and Python pipelines
- Human-in-the-loop workflow support
- On-premises deployment available
Against
- Pricing requires a demo
- Usage-based subscription measures multiple resources
- Enterprise platform may require deployment planning
The verdict
Dataloop combines data workflows, model operations, human feedback, and security controls in one platform. Request a demo to understand usage-based pricing and deployment options.
Who it suits
Dataloop suits data engineers, data scientists, software engineers, AI leaders, and human reviewers building collaborative AI workflows. It supports teams needing model management and varied data formats.
Plans and prices
Custom subscription
Pricing available by scheduling a demo
Read 8 Oct 2026 · docs.dataloop.ai
On the record
- Access controls
- The platform lists role-based access control, single sign-on, two-factor authentication and activity logging among its security controls.dataloop.ai · read 8 Oct 2026
- Data
- The platform supports unstructured data workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS and multimodal data.dataloop.ai · read 8 Oct 2026
- Deployment
- Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement.dataloop.ai · read 8 Oct 2026
- Encryption
- Dataloop says customer data is encrypted at rest and in transit using AES-256 and a minimum TLS v1.2 protocol.dataloop.ai · read 8 Oct 2026
- Human feedback
- Dataloop supports human-in-the-loop workflows for RLHF and other human-centric tasks.dataloop.ai · read 8 Oct 2026
- Integrations
- The developer guide lists cloud storage integrations for Google Cloud Platform, Amazon S3 and Microsoft Azure Blob, plus container registries including AWS ECR, Google Artifact Registry and Azure Container Registry.developers.dataloop.ai · read 8 Oct 2026
- Intended users
- The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers.dataloop.ai · read 8 Oct 2026
- Marketplace
- The marketplace offers models, datasets, workflow templates and other reusable components.dataloop.ai · read 8 Oct 2026
- Models
- Users can work with off-the-shelf or custom models, then version, experiment, compare and fine-tune them in the platform.dataloop.ai · read 8 Oct 2026
- Pipelines
- Pipelines can orchestrate data, models and human feedback through a drag-and-drop interface or the Python SDK.dataloop.ai · read 8 Oct 2026
- Pricing and limits
- Pricing is provided through a demo with a specialist, and subscriptions track usage such as annotation studio time, datapoints and serverless automation.docs.dataloop.ai · read 8 Oct 2026
- Product
- Dataloop describes itself as an enterprise-first AI development platform for building AI applications.dataloop.ai · read 8 Oct 2026
- Security and compliance
- Dataloop states it is GDPR compliant, adheres to ISO 27001 and ISO 27701, and is SOC 2 Type II compliant.dataloop.ai · read 8 Oct 2026
- Support
- The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel.dataloop.ai · read 8 Oct 2026