FiftyOne EnterpriseTake physical AI from prototype to production
Built on the open source foundation you trust, the enterprise version of FiftyOne helps teams scale production-grade vision systems with greater efficiency, automation, and security.
Success stories
Leading enterprises build using FiftyOne
Vivint Smart Home Leans on FiftyOne to Diagnose Model Behaviors on 2TB of Visual Data
Security & Safety
• Nov 24, 2025
3x Faster robotics dataset investigations: How Berkshire Grey drives productivity with FiftyOne
AV & Physical AI
• Jun 6, 2025
How SafelyYou detected 350,000 elderly safety events with visual AI using FiftyOne
Health & Medicine
• May 4, 2025
Enterprise Platform
Scale, security, and flexibility to meet your unique needs
Build your workflows, your way. FiftyOne Enterprise provides all the controls your growing team needs — flexible deployment, collaboration, advanced workflows, scalability, security, and more.
Scale without limits
Query and retrieve multimodal samples at billions+ scale across your infrastructure in the cloud, on-prem, hybrid, or air-gapped.
Achieve governance and security
Meet compliance requirements and maintain data sovereignty with SSO integrations, role-based access controls, versioning, and audits.
Automate and collaborate
Add workflow efficiency with scheduling and task delegation. Easily collaborate with team members on datasets, views, and samples.
Benefits
Solutions for every physical AI challenge
Poor data is the biggest barrier to AI success. FiftyOne Enterprise helps you build and iterate faster—with tools for data curation, annotation, generation, and model analysis.
Accelerate time to market
Eliminate weeks of manual data wrangling, giving back development time on capabilities that win customers and outpace competitors.
Lower development costs
Reduce resource overhead, annotation spend, and compute waste by incorporating smarter workflows.
Reduce the risk of failures
Surface edge cases and model blind spots in development before they trigger costly retraining cycles or production failures.
Autonomous Vehicles
Reduce edge case failures and accelerate safety validation for ADAS and driver assistance solutions.
Robotics and Humanoids
Close the sim-to-real gap and deploy robots that handle the unpredictability of the real world.
Manufacturing and Industrial
Reduce defect escape rates and accelerate production lines.
Agriculture Tech
Improve crop yield predictions and automate field monitoring with higher-quality aerial and ground-level imagery datasets.
Healthcare and Lifescience
Accelerate diagnostics and research, and improve patient outcomes with higher-quality medical imaging data and models.
Content and Brand Safety
Detect harmful content and protect brand reputation with precise training data.
Insurance and Document AI
Cut settlement delays and improve accuracy across damage assessment and claims documentation with precisely curated visual data.
Defense and Security
Enhance threat detection and situational awareness with rigorously curated, mission-critical visual data.
Feature comparison
Enterprise capabilities for scalable multimodal and physical AI
FiftyOne features
Open source
Enterprise
FiftyOne features
Overview
Curation, annotation, and evaluation
Users and data access
Single user, using local machine
Multi-user, with data in the cloud or on-prem
Deployment
Local machine
On-prem, air-gapped, cloud, hybrid
Data scalability
Limited by local resources
Scalable to 1B+ samples
Multi-user collaboration
—
Data governance & access control
—
Out-of-the-box workflows
Limited
Built-in and custom enterprise workflows
Workflow automation
—
Built-in scheduler for task delegation
Support
Community
Enterprise support with onboarding, upgrades, and maintenance
Overview
Curation, annotation, and evaluation
Users and data access
Single user, using local machine
Deployment
Local machine
Data scalability
Limited by local resources
Multi-user collaboration
—
Data governance & access control
—
Out-of-the-box workflows
Limited
Workflow automation
—
Support
Community
Details
Details
Users
Users supported
Single
Multi-user
Users
Users supported
Single
Deployment
Deployment options
Local machine
On-prem, air-gapped, cloud (private/public), hybrid, multiple environments.
Production and staging environments
—
Unlimited
Deployment
Deployment options
Local machine
Production and staging environments
—
Dataset support and access
Multimodal data support
Data storage
Local filesystem
Cloud or on-prem media storage. Data lake integrations (e.g., Databricks, PostgreSQL)
Data volume
Limited by local resources
Cloud or on-prem media storage. Data lake integrations (e.g., Databricks, PostgreSQL)
Data scalability
Limited by local resources
Scalable to 1B+ samples with Data Lens
Cloud integration
—
Native integration with all major cloud providers (AWS/Govcloud, GCP, Azure, OCI, Tencent)
Dataset support and access
Multimodal data support
Data storage
Local filesystem
Data volume
Limited by local resources
Data scalability
Limited by local resources
Cloud integration
—
Team collaboration
Multi-user collaboration
—
Easy cross-team collaboration on datasets, views, individual samples, and model performance
Team collaboration
Multi-user collaboration
—
Support
Support level
Community support
White glove enterprise support including dedicated communication channel, onboarding, upgrades, maintenance, and training.
Support
Support level
Community support
Data governance & security
Data encryption
Users build their own security practices
Built-in support for encrypting sensitive data at rest and in transit
Data authentication and access
—
SSO integration with OIDC, OAuth2, SAML. User and role-based permissions
Dataset versioning and audit
—
Version datasets. Track, browse, and restore snapshots
Data governance & security
Data encryption
Users build their own security practices
Data authentication and access
—
Dataset versioning and audit
—
Automation
Workflow automation
User implemented
Built-in scheduler to delegate tasks. Integrate with existing compute orchestration and resources.
Automation
Workflow automation
User implemented
Data workflows
Data visualization
Data embeddings
Manual data labeling
Auto data labeling
—
Auto-labeling, QA, and confidence scoring using foundational models.
Data quality
—
Builtin workflows with quality scoring to detect poor quality samples.
Data retrieval
—
Scenario search and retrieval at billion+ scale from data lakes using Data Lens.
Physical AI
—
Builtin workflows for data audit, augmentation, and neural reconstructions.
Data workflows
Data visualization
Data embeddings
Manual data labeling
Auto data labeling
—
Data quality
—
Data retrieval
—
Physical AI
—
Model workflows
Model evaluation
Model comparison
Scenario evaluation
Sample-level analysis
Model eval execution
Manual
Built-in
Model workflows
Model evaluation
Model comparison
Scenario evaluation
Sample-level analysis
Model eval execution
Manual
Customization & Extensibility
Extensibility
Python SDK and plugins
Plugin and panel framework with support for custom enterprise workflows
Custom dashboards and analytics
—
Customization & Extensibility
Extensibility
Python SDK and plugins
Custom dashboards and analytics
—
Software licensing
License
Apache 2.0
Commercial license with enterprise terms
Software licensing
License
Apache 2.0
More than software — a partner in your success
FiftyOne Enterprise unlocks more than just features. Get access to the best team of ML engineers invested in your success: from deployment to onboarding, maintenance, and more.
“FiftyOne has helped us solve the challenge of getting high-quality data from our fleet into our ML pipelines, so we can deliver robust ML models for robotic perception. The enterprise capabilities introduce the level of governance, structure, and visibility we need to make AI model development much more efficient.”
Anton Radice
Senior Perception Engineer, Scythe Robotics
“At Allstate, my team works on auto vehicle damage inspection. Verifying the damage to a vehicle can take an insurance claim agent hours to verify, but using computer vision and FiftyOne, we can segment the parts of vehicles first, then detect the damages, and finally match the damage to repair costs and generate reports for the adjusters.”
Pavan NanjundappaData Science Manager, Allstate India
“We use FiftyOne to organize large research datasets. My favorite feature is the ability to view distributions over image attributes in the dataset, and filter the dataset by those attributes.”
Brett IsraelsenPrincipal Research Scientist, AI, Raytheon
"I think of Voxel51’s customer success team as an extension of our team. We can work together on solving real-world ML problems and partner in cases where we’re requesting new features in the FiftyOne platform."
Matt ShafferVP of Artificial Intelligence and Co-founder at RIOS
“As we developed our Florence-2 model, FiftyOne proved invaluable for data management and visualization. Its powerful capabilities helped streamline our workflow, ensuring we built a robust foundation for our models. Now, as we dive into the development of Florence-5B, we're relying on FiftyOne more than ever. The tool's intuitive interface and rich feature set are essential for effectively managing our large datasets and gaining critical insights.”
Bin XiaoAI Researcher, Meta (formerly Principal Research Manager, Microsoft GenAI)
“What really stands out about FiftyOne is the flexibility. The plugin framework lets us customize our workflows based on our unique needs, and the mature SDK lets us consolidate more of our pipeline into one tool, avoiding the cost of stitching together multiple systems. FiftyOne integrates directly into our production pipeline to drive 80% reductions in workplace incidents .”
Patrick RowsomeHead of Computer Vision Operations, Protex AI
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