Loved by Data Science, Data Engineering & DevOps Teams

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"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."

Greg Hayes, Data Science Director, Ecolab

Develop Once,
Deploy Anywhere

Accelerate and simplify deployment and management of AI in production with full MLOps automation:
  • Accelerate: Deploy AI 12x faster
  • Automate: Automate your ML lifecycle end-to-end
  • Optimize: Save costs by more efficiently sharing resources such as GPUs and optimizing data storage
  • Unify Data: Ingest and unify data from any source and type, including unstructured, structured, streaming data etc.
  • Integrate with your Stack: Easily integrate with your existing AI infrastructure and software, including popular open source tools and frameworks
  • Deploy Anywhere:
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What Customers Have to Say about Iguazio


Payoneer (1)

“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.”

Yaron Weiss, VP Corporate Security and Global IT Operations at Payoneer
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Deploy Models to Production in Seconds

Deploy models and APIs from a Jupyter notebook or IDE to production in just a few clicks and continuously monitor model performance and mitigate model drift.

Iguazio's Feature Store

Monitor your Models and Data on the Fly

Manage, govern and monitor your models and real-time features in production with a simple dashboard integrated with Iguazio's Feature Store.

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Real-Time Feature Engineering

Leverage a fully integrated online and offline feature store to easily engineer features and share them across your organization
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Serverless Functions

Benefit from performance at scale, on-demand resource utilization and auto-scaling with high throughput and low latency
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One-Click Notebook to Microservice

Continuously and seamlessly deploy new AI services into business environments
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Iguazio Receives Honorable Mention in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Reviews from Gartner Peer Insights
“From notebook to cluster in 4 seconds”
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“Reducing time from data science POC to data product”
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“Multi-model database, data science tools, and production ready MLOps in under a week”
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“Agile data science platform”

Powering Business Innovation Across Verticals

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Financial Services
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AD-Tech & Gaming
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Sheba (1)

“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

Powering Business Innovation Across Use Cases

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Fraud Prediction

Reduce energy, increase efficient use of resources, optimize quality control and eliminate service outages with predictive maintenance.
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Real-Time Recommendation Engines

Gain deep visibility and control of Security Information and Event Management (SIEM), including log management, identity and access-control, and policy compliance tools, to ensure customers immediately detect and respond to threats.
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Predictive Maintenance

Understand and predict customer needs and interact with them accordingly in real-time to provide personalized engagement and increase brand loyalty.
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Customer Churn Prediction

Understand and predict behaviors indicating churn intent to proactively prevent churn.
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Optimizing Operations

Understand and predict behaviors indicating churn intent to proactively prevent churn.

Iguazio Has Been Recognized By

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