Writer
Enterprisecompany
•
8 models
Enterprise Hub:
Build AI through secure collaboration
Give your team the most advanced platform to build AI with enterprise-grade security, access controls and dedicated support.
Join leading AI organizations already using Enterprise Hub
Just Eat Takeaway.com
Enterprisecompany
FFusion AI
Enterprisecompany
•
10 models
Zero Systems
Enterprisecompany
Preferred Networks, Inc.
Enterprisecompany
2nd Order Solutions
Enterprisecompany
IGES Institut GmbH
Enterprisecompany
GCX by Rightsify
Enterprisecompany
Sephora SEA
Enterprisecompany
A Complete Platform for Machine Learning
Model Database’s complete ecosystem compliant with your IT constraints
1. Experiment
Leverage over 250,000 open models and datasets to add natural language processing, computer vision, and speech transcription features to your apps. Quickly experiment with different architectures like BERT, T5, Whisper or Stable Diffusion.
2. Collaborate Privately
Publish custom models, datasets and Spaces as part of your Enterprise Hub. Make it easy for multiple teams to discover and use them in their projects. Role-based access control, Pull Requests, discussions, model cards and versioning are built-in.
3. Train models
Automatically train, evaluate and deploy state-of-the-art models with AutoTrain. From multi-class classification to regression, entity recognition, summarization, and more, we got you covered!
4. Demo your work
Easily host a demo app to show your machine learning work with Spaces. Get feedback early from your proof of concepts by allowing stakeholders to run your MVPs directly from their browsers.
5. Deploy & Serve
Data scientists don't need to talk to another team to deploy their models to production; they just use API requests to run these models at scale, in real-time.
Collaborate with Pull Requests and Discussions
A central place for feedback and iterations in machine learning
Our collaborative features radically improve the machine learning workflow. Now you can leverage Pull Requests and discussions to support peer reviews on models, datasets, and Spaces. Improve collaboration across teams and accelerate your machine learning roadmap.
Build with Model Database and Enterprise Security
A secure link to the open source development
Enable teams in regulated environments to frictionlessly keep up with the pace of open source advancement. The
Enterprise Hub provides enterprise security features like security scans, audit trail, SSO, and control access
to keep your models and data secure.
Pick your storage region (EU, US, Asia) for compliance and
performance.
Compliance & Certifications
GDPR Compliant
SOC 2 Type 2
A Better Way to Work in Machine Learning
Bridging the gap from research to production
Before
❌
Models and datasets aren't shared internally, no collaboration across teams.
😓
Similar models are built from scratch across teams all the time.
🐢
Unfamiliar tools and non-standard workflows slow down ML development.
🤼
Waste time on Docker/Kubernetes and optimizing models for production.
After
✅
Share private models and datasets to collaborate within and across teams. Pick your storage location.
🤝
Model reusability across teams. Wheels don't need to be reinvented again.
🚀
Familiar tools and standardized workflows accelerate your ML roadmap.
💪
Don't worry about deployment, spend more time building models.