FiftyOne EnterpriseTake physical AI from prototype to production
Built on the open source foundation you trust, FiftyOne Enterprise helps teams scale production-grade vision systems with greater efficiency, automation, and security.
Benefits & ROI
The multimodal data platform for physical AI
0%
increase in model accuracy
0+
months of development time saved
0x
faster data curation
Maintained 99% fall detection rates for model performance.
Sped up investigations of robotic arms by 3x.
Maintained 99% fall detection rates for model performance.
Sped up investigations of robotic arms by 3x.
Enterprise Platform
Built for scale, security, and control
Build your workflows, your way: flexible deployment, collaboration, advanced workflows, scalability, 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
89% of teams say data is the primary driver of physical 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 Life Sciences
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.
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
Feature comparison
Enterprise capabilities for scalable multimodal and physical AI
| FiftyOne features | Open source | Enterprise |
|---|---|---|
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 |
Details | ||
Users | ||
Users supported | Single | Multi-user |
Deployment | ||
Deployment options | Local machine | On-prem, air-gapped, cloud (private/public), hybrid, multiple environments. |
Production and staging environments | — | Multiple |
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) |
Team collaboration | ||
Multi-user collaboration | — | Easy cross-team collaboration on datasets, views, individual samples, and model performance |
Support | ||
Support level | Community support | White glove enterprise support including dedicated communication channel, onboarding, upgrades, maintenance, and training. |
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 |
Automation | ||
Workflow automation | User implemented | Built-in scheduler to delegate tasks. Integrate with existing compute orchestration and resources. |
Data workflows | ||
Data visualization | ||
Data embeddings | ||
Manual data labeling | ||
Auto data labeling | — | Auto-labeling, QA, and confidence scoring using foundation models. |
Data quality | — | Built-in 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 | — | Built-in workflows for data audit, augmentation, and neural reconstructions. |
Model workflows | ||
Model evaluation | ||
Model comparison | ||
Scenario evaluation | ||
Sample-level analysis | ||
Model eval execution | Manual | Built-in |
Customization & Extensibility | ||
Extensibility | Python SDK and plugins | Plugin and panel framework with support for custom enterprise workflows |
Custom dashboards and analytics | — | |
Software licensing | ||
License | Apache 2.0 | Commercial license with enterprise terms |
“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
Questions?
We have answers.
FiftyOne Enterprise supports flexible deployment across on-premises, cloud (AWS, GCP, Azure, GovCloud), hybrid, and fully air-gapped environments. It integrates natively with existing data lakes and cloud media storage. The platform adapts to your infrastructure requirements rather than forcing you to change your environment.
Enterprise customers receive white glove support, including a dedicated communication channel (Slack or Teams), personalized onboarding, regular check-ins, training sessions, upgrade assistance, and maintenance support. Unlike community support, where responses aren’t predictable, Enterprise support ensures your team has direct access to Voxel51's ML engineers who can help with deployment architecture, workflow optimization, and best practices tailored to your specific use case.
Teams typically upgrade when they hit one or more key inflection points. Here are a few of those:
- Data scales beyond what a local machine can handle
- Multiple team members need to collaborate on a project
- Production workflow requires automation, scheduling, and orchestration capabilities
- Compliance and security requirements
If you're spending significant engineering time building custom infrastructure and workflows around open source FiftyOne, upgrading to Enterprise often provides faster time-to-value and cost savings.
FiftyOne Enterprise tiers and pricing is based on your team's needs and scale. Here are the different options: https://voxel51.com/pricing. You can schedule a call with our team to discuss your specific requirements to find out the right option for your use case. Many customers find that consolidating their CV workflow into FiftyOne actually reduces total cost compared to stitching together multiple tools for curation, annotation, evaluation, and data management or building your own.
Talk to the experts
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