Collaboration, the key for more and better Data Science
MLReef enables Domain Experts and Data Scientists to securely collaborate via a hybrid of pro-code & no-code development approach
+250%
more medical ML POCs completed
Increased productivity
75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster.
Better collaboration
Domain Experts and Data Scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong.
Secured Continuity
MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time.
Create custom AI Modules
AI MODULES
Create easy operable AI Modules from Git repositories
You can use already well known and established git repositories to create explorable, interoperable and versioned AI Modules.
Immutable, reusable and sharable
CI/CD based workflows
Knwodledge base of working code
Distribute ML workload
PIPELINES
Empower everyone to participate in the ML value chain with low/no code
AI Modules created by your data scientists become drag and drop elements. These are adjustable by parameters, versioned, interoperable and explorable within your entire organization.
Fast iteration of data, code and pipelines
Easy to use and still highly flexible
Concurrent computing pipelines
Manage your data, collaboratively
DATA MANAGEMENT
Make data processing a collaborative and connected work
Data handling often requires expert knowledge that a single data scientist often lacks. MLReef enables your field experts to relieve your data processing task, reducing complexities and increasing data quality for model training.
Use integrations to your data warehouse
Launch data processing & visualizations
Store versions of dataset
Develop reproducible models
EXPERIMENTS
Run experiments iteratively and with full reproductibility
Training models has never been as easy and flexible at the same time. Do not lose any history with full version control on data, code, parameters, pipeline run and base environment.
Use any ML framework
Track model performance and metrics
Store & version model artifact and output
Orchestrate and automate pipelines
Pipeline Graph - ROADMAP
Create interconnected pipeline graphs
Build complex pipelines via drag and drop or via jaml configuration. Set automation and sheduling rules and set best-practice CI/CD workflows.
Create complex pipeline flows
Orchestrate resources
Set custom automation and sheduling rules
Access a pre-built ML knowledge base
KNOWLEDGEBASE
Access ready to use & open-source Datasets, Data Operators and Models
Start producing value by accessing a pre-built ML knowledgebase. Access hundreds of medical imaging datasets and ready to use AI Modules for image processing and Machine Learning models.
Direct access to open-source medical datasets
Instant use of open-source AI Modules
Produce value within minutes
Use your preferred host
host on mlreef.com
self-host on any premise or cloud infra
NAUTILUS
Host MLReef on any infrastructure - on the cloud or on-premises
MLReef comes as a docker image to be installed wherever you need it. Secure your data policies with full flexibility
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