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Dataloop

dataloop.ai

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Spec score 7.6 #3 of 16 in Active Learning Tools

What it is

Dataloop is a paid, enterprise-first AI development platform for building AI applications. It supports unstructured workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal data. Users can work with off-the-shelf or custom models, then version, experiment, compare, and fine-tune them. Drag-and-drop pipelines or the Python SDK can coordinate data, models, and human feedback, including RLHF and other human-centric tasks. A marketplace provides models, datasets, workflow templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, AWS ECR, Google Artifact Registry, and Azure Container Registry. Dataloop lists GDPR compliance, ISO 27001, ISO 27701, and SOC 2 Type II compliance, with AES-256 and TLS v1.2 encryption. Access controls include role-based permissions, SSO, two-factor authentication, and activity logging. Deployment can be on-premises or in private storage. Pricing is available through a specialist demo.

Spec sheet

Product
Dataloop describes itself as an enterprise-first AI development platform for building AI applications.Read 8 Oct 2026 · dataloop.ai
Intended users
The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers.Read 8 Oct 2026 · dataloop.ai
Deployment
Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement.Read 8 Oct 2026 · dataloop.ai
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.Read 8 Oct 2026 · developers.dataloop.ai
Support
The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel.Read 8 Oct 2026 · dataloop.ai
Headquarters
Tel Aviv, IsraelRead 28 Sep 2026 · dataloop.ai
Founded
2017Read 28 Sep 2026 · dataloop.ai
Access controls
The platform lists role-based access control, single sign-on, two-factor authentication and activity logging among its security controls.Read 8 Oct 2026 · dataloop.ai
Data
The platform supports unstructured data workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS and multimodal data.Read 8 Oct 2026 · dataloop.ai
Encryption
Dataloop says customer data is encrypted at rest and in transit using AES-256 and a minimum TLS v1.2 protocol.Read 8 Oct 2026 · dataloop.ai
Human feedback
Dataloop supports human-in-the-loop workflows for RLHF and other human-centric tasks.Read 8 Oct 2026 · dataloop.ai
Marketplace
The marketplace offers models, datasets, workflow templates and other reusable components.Read 8 Oct 2026 · dataloop.ai
Models
Users can work with off-the-shelf or custom models, then version, experiment, compare and fine-tune them in the platform.Read 8 Oct 2026 · dataloop.ai
Pipelines
Pipelines can orchestrate data, models and human feedback through a drag-and-drop interface or the Python SDK.Read 8 Oct 2026 · dataloop.ai
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.Read 8 Oct 2026 · docs.dataloop.ai
Security and compliance
Dataloop states it is GDPR compliant, adheres to ISO 27001 and ISO 27701, and is SOC 2 Type II compliant.Read 8 Oct 2026 · dataloop.ai

Plans and prices

Custom subscription Priced on request Pricing available by scheduling a demo Read 8 Oct 2026 · docs.dataloop.ai

Every Dataloop plan and price →

Strong points and limits

Strong points

  • Supports many unstructured data types
  • Model versioning and fine-tuning
  • Drag-and-drop and Python pipelines
  • Human-in-the-loop workflows
  • On-premises or private-storage deployment

Limits

  • Pricing requires a demo
  • Subscriptions track usage
  • Enterprise-focused product
  • No listed public plan price

Who it suits

Dataloop is presented for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers. It suits teams coordinating varied data, model, annotation, and human-feedback workflows.

Verdict

Dataloop covers data workflows, model operations, human feedback, security, and deployment options in one platform. Request a demo to understand usage-based subscription costs and fit.

Where Specifiction places it

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