Iguazio has been named to the Constellation ShortList for MLOps for Q1 2025—marking this our third consecutive year on the list.
"Open-source models will play a key role in the ecosystem...if built right, can achieve a high level of accuracy and impact just by using sets of open-source LLMs combined with classic machine learning and deep learning models."
KDnuggets has recognized MLRun, Iguazio's open-source AI orchestration framework, as one of the top five end-to-end open-source MLOps tools.
MLRUN, Iguazio's open-source AI orchestration framework, listed as top 10 capabilities that can be found in the modern data lake reference architecture.
"McKinsey’s transformational work with MongoDB on their Iguazio (Acquired by McKinsey) MLOps Platform makes them a fitting winner for this award. MongoDB & Iguazio provide unprecedented ease in delivery of data and data science on multi-cloud platforms. We’re thrilled to continue building with McKinsey for years to come."
Iguazio is proud to be listed amongst the top leaders in MLOps by Constellation Research, Inc. for the third year in a row! The Constellation ShortList is determined by client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.
Global management consulting firm McKinsey & Company announced on Monday that it has acquired Iguazio. With the addition of Iguazio’s technology and a team of more than 70 data and AI experts, McKinsey will be able to dramatically accelerate and scale AI deployments, driving further impact for clients.
We're proud to announce that Iguazio has been named a Major Player in the IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment. This report is the latest recognition from several top industry analyst firms for the Iguazio MLOps Platform.
Iguazio is thrilled to be named an Outperforming Leader in GigaOm’s latest report on MLOps. This recognition highlights our rigorous production-first approach to MLOps and differentiated capabilities that address the entire end to end lifecycle of AI/ML services.
