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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."
Develop Once,
Deploy Anywhere
- 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:
AWS
Azure
GCP
On-Premesis
Edge/Hybrid
What Customers Have to Say about Iguazio
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“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.”
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.
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.
Real-Time Feature Engineering
Serverless Functions
One-Click Notebook to Microservice
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Powering Business Innovation Across Verticals
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“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.”
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Powering Business Innovation Across Use Cases
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Fraud Prediction
Real-Time Recommendation Engines
Predictive Maintenance
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Customer Churn Prediction
Optimizing Operations
Iguazio Has Been Recognized By
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