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
"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 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."
"“We believe all enterprises deserve a faster and easier path to rolling out new AI services,” commented Asaf Somekh, Co-Founder and CEO, Iguazio. “Now it is much easier for AWS customers to gain access to Iguazio’s unique MLOps solution and create real business impact faster.”"
"The speed at which technological breakthroughs are occurring has no precedent in previous periods of transformation. The adoption of AI has been a key element of the digital transformation, highlighting the need for new organizational disciplines."
“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
"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
“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