unsubbed.co · Mar 2026
Independent review describing mlop as YC-backed open-source MLOps software with W&B API compatibility, free tier, and self-hosting discussion.
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Open-source MLOps/experiment-tracking platform for ML engineers, backed by Y Combinator X25, with a W&B-compatible API, managed cloud tiers, and a self-hosted enterprise option.
Primary product
Open-source experiment tracking and MLOps platform for machine learning models
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Information Services
Sub-industry
AI & Machine Learning Operationalization (MLOps) Software
Offices
0 jobs at mlop
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Business model
Stage
Pre-Seed
Total raised
$500K
Latest round
Pre-Seed · Jun 2025
Latest amount
$500K
Jun 2025 · Y Combinator
Investors
Community-driven and built by ML engineers for ML engineers; performance-first and KISS-oriented, with an emphasis on high-throughput logging, reproducibility, and saving compute time.
Benefits
Pricing
Freemium SaaS with a free tier, a contact-sales Pro plan, and custom-priced Enterprise/self-hosted offerings.
Differentiators
Technology
Customers
Competitors
Estimated revenue
$85K-$220K estimated ARR
Estimated monthly visits
309
Traffic estimate as of Jul 2026
unsubbed.co · Mar 2026
Independent review describing mlop as YC-backed open-source MLOps software with W&B API compatibility, free tier, and self-hosting discussion.
VCBacked · Jun 2025
Funding profile stating mlop raised $500K in a pre-seed round led by Y Combinator.
ISVWorld · Jun 2025
News/profile page summarizing mlop as an open-source Weights & Biases alternative and repeating the $500K funding announcement.
Hacker News · May 2025
Launch post describing mlop as a completely open-sourced alternative to Weights & Biases, highlighting Rust and ClickHouse for non-blocking performance.
BestOfAI · May 2025
Article-style roundup of the GitHub project describing mlop as a fast, open-source experiment tracking framework with self-hosting via Docker Compose.