MLReef
MLReef is a secure, collaborative machine learning platform designed for regulated industries, enabling domain experts and data scientists to work together efficiently through a hybrid pro-code and no-code approach. Founded in 2019 in Austria, MLReef offers a comprehensive MLOps solution that supports modular AI development, data management, experiment reproducibility, and pipeline orchestration. The platform increases productivity by 75% through distributed workloads and eliminates unnecessary communication, ensuring 100% reproducibility and continuity of ML projects. MLReef supports hosting on any infrastructure, including cloud and on-premises, and is trusted by thousands of users and organizations such as Amazon, ESA, and Saab. The company is committed to democratizing machine learning and fostering cross-project collaboration, backed by sponsors like NVIDIA, Amazon, Google, and the European Union.
MLReef
MLReef is a secure, collaborative machine learning platform designed for regulated industries, enabling domain experts and data scientists to work together efficiently through a hybrid pro-code and no-code approach. Founded in 2019 in Austria, MLReef offers a comprehensive MLOps solution that supports modular AI development, data management, experiment reproducibility, and pipeline orchestration. The platform increases productivity by 75% through distributed workloads and eliminates unnecessary communication, ensuring 100% reproducibility and continuity of ML projects. MLReef supports hosting on any infrastructure, including cloud and on-premises, and is trusted by thousands of users and organizations such as Amazon, ESA, and Saab. The company is committed to democratizing machine learning and fostering cross-project collaboration, backed by sponsors like NVIDIA, Amazon, Google, and the European Union.
TL;DR
Founded: 2019 (Austria)
Product: Collaborative MLOps platform (hybrid pro-code / no-code) for reproducible ML development
Deployment: Hosted (SaaS) and self-managed/on‑premises via a single Docker image (Nautilus)
Funding signal: Seed round Aug 2020 €50,000 (tecnet equity); total funding record: USD 420,000
Partners / sponsors: Sponsors and partners include NVIDIA, Amazon, Google, ESA BIC, Netidee, Austrian government, European Union
Company Overview
Problem Domain
Collaborative machine learning development and operationalization (MLOps) with a focus on reproducibility and governance for regulated environments.
Founded
2019
Industry
Machine Learning / MLOps
Tech Stack
Funding Track Record
€50,000
€0.0
Round record shows amount as €0.0 and investor not specified.
€0.0
Round record shows amount as €0.0 and investor not specified.
Investor Signal
“Has at least one disclosed institutional investor (tecnet equity) and individual investors listed on the company site (Dr. Manfred Prantl, Rainer Kern); has received sponsorship/support from NVIDIA, Amazon, Google, ESA BIC, Netidee, the Austrian government, and the European Union.”