Accelerate the deployment and management of your AI applications with the Iguazio AI Platform
The Iguazio AI platform operationalizes and de-risks ML & gen AI applications at scale so organizations can implement AI effectively and responsibly in live business environments. Orchestrate and automate your AI pipelines, establish guardrails to address risk and regulation challenges, deploy your applications anywhere, and turn your AI projects into real business impact.
See it in ActionFaster 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
Operationalize (gen) AI applications and mitigate risks in production
to deliver impact at scale across the enterprise
Go from POC to a live application in production, cutting costs and time-to-market with efficient scaling, resource optimization, automation and data management applying MLOps principles.
Monitor applications in production to ensure compliance and reduce risk of data privacy breaches, bias, AI hallucinations and IP infringements.
Responsibly fine-tune models with RAG, RAFT and more. Improve model accuracy and performance at minimal cost.
Optimize GPU resources by scaling usage up and down as needed.
Multi-cloud, on-premises and hybrid environments all supported.
Monitor AI applications, address regulation needs, remove PII, mitigate bias and more.
Ecolab Reduces Time to AI Deployment from 12 months to 30 days
Read moreLATAM Airlines Group Drives Innovation with a Cross-Company AI Strategy
Read moreSeagate Uses AI to Detect Defects on the Factory Floor, Reduce Cost and Improve Yield
Read moreSense Personalizes the Recruitment Experience with AI Chatbot Automation
Read moreNetApp Deploys Real-Time Predictive Maintenance & Advanced Analytics
Read moreEcolab Reduces Time to AI Deployment from 12 months to 30 days
Read moreLATAM Airlines Group Drives Innovation with a Cross-Company AI Strategy
Read moreGlobal 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."
"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."
"Why I Picked Iguazio: I like the platform's methodology for accelerating MLOps through various mechanisms. For example, its integrated feature store automates offline and online feature engineering for real-time and batch data while its serverless technology facilitates the rapid development of scalable data and ML pipelines in real-time."
"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.
CB Insights is a leader in tech market intelligence that produces research on innovation and new technologies across industries. The LLMOps Market Map identifies the top technologies across 12 different generative AI categories
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."
"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."
"Why I Picked Iguazio: I like the platform's methodology for accelerating MLOps through various mechanisms. For example, its integrated feature store automates offline and online feature engineering for real-time and batch data while its serverless technology facilitates the rapid development of scalable data and ML pipelines in real-time."
"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.
CB Insights is a leader in tech market intelligence that produces research on innovation and new technologies across industries. The LLMOps Market Map identifies the top technologies across 12 different generative AI categories
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.
“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.”
Daniel Meehan
CEO, PadSquad
“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”
Santiago Gutiérrez
CEO, Tulipan
"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."
Jason Evans
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"
Asher Bennett
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.”
Boris Bialek
Global Head of Enterprise Modernization, MongoDB
“Iguazio complements the compute power of GPUs by directly connecting GPUs to large-scale, shared data infrastructure.”
Jeffrey Tseng
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."
Henry Jerez
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.”
Ingo Ramesohl
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.”
Aparna Sinha
Group Product Manager, Google Cloud
“Iguazio was the best MLOps platform that provided all of these capabilities”
Alex Rosen
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,”
Gerard Pijcke
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."
Greg Hayes
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.”
Tarik Dwiek
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."
Shankar Pasupathy
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"
Juliana Rios
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”.
Yaron Weiss
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.”
Daniel Meehan
CEO, PadSquad
“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”
Santiago Gutiérrez
CEO, Tulipan
"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."
Jason Evans
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"
Asher Bennett
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.”
Boris Bialek
Global Head of Enterprise Modernization, MongoDB
“Iguazio complements the compute power of GPUs by directly connecting GPUs to large-scale, shared data infrastructure.”
Jeffrey Tseng
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."
Henry Jerez
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.”
Ingo Ramesohl
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.”
Aparna Sinha
Group Product Manager, Google Cloud
“Iguazio was the best MLOps platform that provided all of these capabilities”
Alex Rosen
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,”
Gerard Pijcke
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."
Greg Hayes
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.”
Tarik Dwiek
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."
Shankar Pasupathy
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"
Juliana Rios
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”.
Yaron Weiss
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.”
Daniel Meehan
CEO, PadSquad
Accelerate the deployment and management of your AI applications with the Iguazio AI Platform
Test-drive the Iguazio AI Platform to see it in action
Test-drive the Iguazio AI Platform to see it in action