Artificial Intelligence | Machine Learning Arize AI | ML Observability Platform


Enterprise, Computer Software, Information Services, Troubleshooter, Monitor Berkeley, California, United States

Arize AI

Artificial Intelligence | Machine Learning


Arize AI | ML Observability Platform

Arize AI

Computer Software, Information Services, Troubleshooter, Monitor


Berkeley, California, United States

Arize AI is the watcher, troubleshooter and the guardrail on deployed AI. Machine Learning Observability built for ML practitioners to automatically surface performance issues and trace the root cause. Arize provides production ML analytics and workflows to quickly catch model and data issues, diagnose the root cause, and continuously improve performance for your products and business. Designed to seamlessly plug into your existing ML stack and alerting workflows. Arize works with any model framework, from any platform, in any environment. 

Tracing a model issue through the data it is built and acts upon is a time-consuming feat. Reduce time-to-resolution for even the most complex models with purpose-built workflows for root cause analysis. Embeddings proliferate modern deep learning and next-gen AI models. Use Arize to isolate emerging patterns, underlying data changes, and data integrity issues for high-value labeling. Real world data is dynamic and impacts model response over time. Track distribution changes in upstream data, predictions and actuals to proactively gauge model performance and find retraining opportunities. The ability to monitor every aspect of an ML model is critical to catching performance degradation of key metrics and surfacing unknown issues before they tank your products and business. Gaining insights into how models arrive at outcomes across specific cohorts is key to optimizing performance. Uproot and mitigate the impact of potential model bias on marginalized groups with multidimensional comparisons. Arize is designed to seamlessly plug into your existing ML stack and alerting workflows. The platform works with any model framework, from any platform, in any environment. Arize’s inference store handles hundreds of billions of predictions a month, giving you ML observability at unprecedented scale. Work securely with options for on-premise deployment, SSO, RBAC, among othe

 

B2B

1 to 25

Series B

$61M

Scaling Up

2019

 
 

Information Services
Computer Software

Reduce Time-to-Resolution
Optimizing Performance
Automated Model Monitoring

Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning


Auto ML Platform

Auto ML Platform


Text

Text

Structured

Structured

 

   Software


MySQL

MySQL

AWS Cloud

AWS Cloud

Node.js

Node.js

Kubeflow

Kubeflow

Tensorflow

Tensorflow

C/C++

C/C++

Python

Python


Deep Learning Algorithm

Deep Learning Algorithm

Machine Learning Algorithm

Machine Learning Algorithm

 
 

Aug 2022

  • Arize AI Named To Fast Company’s List of the Best Workplaces for Innovators

Jun 2022

  • Arize AI Debuts Monitoring for Unstructured Data

Jun 2022

  • Arize AI Recognized For MLOps Innovation in 2022
 
 

View All

Senior Fullstack Engineer

Remote, Remote

Senior Backend Engineer

Remote, Remote

Frontend Engineer

Remote, Remote

Backend Engineer

Remote, Remote

Application Engineer

Remote, Remote

 

AI/ML Professionals

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We can introduce you to the right person at Arize AI

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7

1

$38M

Company was founded 2019 and it took almost 3 years (Sep 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

09/08/2022

Series B

$38M

TCV, Battery Ventures, Foundation Capital, Swift Ventures TCV, Battery Ventures, Foundation Capital, Swift Ventures

Date : 09/08/2022

Round: Series B

$ Raised: $38M

Investors: TCV, Battery Ventures, Foundation Capital, Swift Ventures TCV, Battery Ventures, Foundation Capital, Swift Ventures

 

Investors

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Jason Lopatecki


Jason Lopatecki
Founder & CEO

Aparna Dhinakaran


Aparna Dhinakaran
Co-Founder & CPO

Claire L.

Claire L.
Head of Customer Success

Liz Cardenas

Liz Cardenas
Head of Finance and Operations

Matt Wilson

Matt Wilson
Head Of Sales

 
 

Potential Customers

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