The Iguazio MLOps Platform transforms AI projects into real-world business outcomes. Accelerate and scale development, deployment and management of your AI applications with end-to-end automation of machine (and deep) learning pipelines.See it in Action
Faster by moving from batch to real-time
Reduction in airplane turn time
Faults automatically prevented
Real-time recommendations per second served
Faster by moving from batch to real-time
Automate and accelerate the data science workflow so concepts
flow smoothly from development to deployment to impact
Automated offline & online feature engineering for real-time and batch data
Rapid development of scalable data and ML pipelines using real-time serverless technology
Codeless data & model monitoring, drift detection & automated re-training
Integrated CI/CD across code, data and models, using mainstream ML, Git & CI/CD Frameworks
Seamlessly deploy machine & deep learning models to high-powered business apps, cutting time to market and reaching real-time performance at enterprise scale, using an open and fully integrated platform.
Continuously and seamlessly deploy new models into business environments, monitor models in production, automatically detect and mitigate drift, and save time and resources on operationalizing machine learning.
Ecolab Reduces Time to AI Deployment from 12 months to 30 daysRead more
Payoneer Uses Real-Time AI for Fraud PreventionRead more
NetApp Deploys Real-Time Predictive Maintenance & Advanced AnalyticsRead more
Quadient Saves Time and Costs Getting AI to ProductionRead more
LATAM Airlines Group Drives Innovation with a Cross-Company AI StrategyRead more
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.
With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations. Sense leverages automation and AI to speed up the recruitment process, while delivering a hyper-personalized candidate experience.
The Iguazio Platform and built-in Feature Store now offers connectivity to the Snowflake Data Cloud, providing a full solution for enterprises looking to generate real business value with data science in an efficient, scalable and repeatable way.
"Iguazio is a strategic NetApp partner. The new support of FSx for ONTAP provides customers with enterprise-level data management, advanced storage services including as tiering and snapshotting, and high performance and scalability, supporting the most extreme workloads."
"Together, Iguazio and Pure Storage empower enterprises to continuously roll out new AI services by adopting a production-first mindset using technologies which later allow them to scale with AI. Enterprises can start to focus on their business applications and not the underlying infrastructure."
“Iguazio was the best MLOps platform that provided all of these capabilities”
Co-Founder and Head of Product at Sense
“With Iguazio, we are now able to analyze terabytes of video footage in real time, running complex deep learning models in production to predict rainfall,”
Chief Consultancy Officer, H2i.
"Prior to implementing this solution, model deployment times exceeded 12 months. Thanks to Iguazio and Microsoft Azure, by 2020, these had been reduced to between 30 and 90 days."
Data Science Director, Ecolab
“Using Iguazio, we are revolutionizing the way we use data, by unifying real-time and historic data from different sources and rapidly deploying and monitoring complex AI models to improve patient outcomes and the City of Health’s efficiency”
Nathalie Bloch, MD
Head of Big Data & AI, Sheba Medical Center’s ARC Innovation Complex
“We are excited to partner with Iguazio to bring end-to-end MLOps capabilities, including a built-in feature store, to our joint customers. We see the need for MLOps automation continuing to grow as data science matures in the enterprise and we look forward to offering deeper integrations with Iguazio in the coming months.”
Sr. Director Technology Alliances at Snowflake
"Iguazio reduces the complexities of MLOps at scale and provides us with an end-to-end solution for the entire data science lifecycle, with enterprise support, which is exactly what we were after."
Senior Director for Active IQ at NetApp
"We chose the Iguazio MLOps platform to operationalize data science, fueling more efficient and environmentally-friendly operations, enhanced safety and better customer service"
IT & Digital Vice President, LATAM Airlines Group
“With Iguazio’s Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives”.
VP Corporate Security and Global IT Operations, Payoneer
“Real time AI is critical to ad performance...Working with Iguazio enabled us to get our AI application up and running in a matter of weeks.”
“At Tulipan, we use novel techniques to convert information into knowledge, taking a holistic approach to data. That’s why we were so happy when we came across Iguazio - Iguazio’s data science platform enables the unification of data from all types and sources, along with the development and rapid deployment of AI applications across use cases and environments. Now, Iguazio’s integrated feature store takes real-time data engineering to the next level of automation”
"Iguazio allowed us to unify and combine any data type to create real-time machine learning models with an out of the box data science toolkit. That to us was worth its weight in gold."
Director of DXP Innovation, Quadient
"The Iguazio Data Science Platform has made our product viable by slashing costs and time getting AI to production. Without this partnership, we would never have been able to harness and process data from so many sources, to make accurate predictions in an efficient and reproducible way"
CEO and Founder, Airvi
“With Iguazio’s feature store, MongoDB Atlas, our fully managed cloud database, can easily store features that are ready to use in machine and deep learning, making MLOps a reality. This refines the experience for both our advanced users, who are scaling AI, and those just starting out on their AI journey to innovate on top of an already powerful database.”
Global Head of Enterprise Modernization, MongoDB
“Iguazio complements the compute power of GPUs by directly connecting GPUs to large-scale, shared data infrastructure.”
Director of Product, NVIDIA
"Iguazio provides an additional path to run AI on the edge beyond our current Microsoft Azure Machine Learning inferencing on the edge."
Principal Group Product Manager, Microsoft Azure
"Iguazio provides a distributed cloud near the edge for the greater simplicity, performance, security and agility required by next generation applications.”
RBVC Technology Managing Director, Bosch
"We are excited to collaborate with Iguazio to deliver a solution that enables real-time analytics of store data, all centrally managed from Google Cloud.”
Group Product Manager, Google Cloud