mlop Analysis
What is mlop?
mlop is an open-source MLOps platform for tracking, optimizing, and collaborating on machine learning experiments. It includes experiment tracking, parameter and gradient tracking, multi-media tracking, alerting, and a private-beta compute product. The site also says it is 100% compatible with the Weights and Biases API for migration.
Location
London, United Kingdom
Employees
1-10
Founded
2025
Business Model
Freemium model with enterprise features for larger clients; open-source platform.
Market Focus
mlop primarily focuses on the machine learning operations (MLOps) industry.
Y Combinator Partner
Aaron Epstein
YC Batch
X25
Yc Primary Partner
Aaron Epstein
Product Features & Capabilities
- experiment tracking, model performance monitoring, seamless integration with existing workflows, tracking model accuracy and performance metrics over time, real-time alerts about model performance, compatibility with Weights & Biases API, automation of ML training processes, deploying and managing models in production, tracking and managing model versions, continuous monitoring and retention of models for quality assurance.
Pricing
- Free: $0/month for 1 seat, unlimited logging hours, and 10 GB of storage.
- Pro: Custom pricing for businesses, up to 10 team seats, unlimited logging hours, 100 GB of storage, and email support.
- Enterprise: Custom pricing for large organizations, unlimited team seats, unlimited logging hours, unlimited storage, 24/7 support, and additional features.
Company Pricing
- Free: $0/month for 1 seat, unlimited logging hours, and 10 GB of storage.
- Pro: Custom pricing for businesses, up to 10 team seats, unlimited logging hours, 100 GB of storage, and email support.
- Enterprise: Custom pricing for large organizations, unlimited team seats, unlimited logging hours, unlimited storage, 24/7 support, and additional features.
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