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Arize AI, Inc.

Arize AI, Inc.

Arize is a company developing a machine learning observability platform for real-time monitoring, analysis, and explainability.

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arize.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Technology
Technology
Machine learning
Machine learning
MLOps
MLOps
Location
Mill Valley, California
Mill Valley, California
Berkeley, California
Berkeley, California
0
B2X
B2B
B2B
CEO
Jason Lopatecki
Jason Lopatecki
Founder
Manisha Sharma
Manisha Sharma
Jason Lopatecki
Jason Lopatecki
Aparna Dhinakaran
Aparna Dhinakaran
Michael Schiff
Michael Schiff
Mikel King
Mikel King
Gabe Barcelos
Gabe Barcelos
Nate Mar
Nate Mar
Tsion Behailu
Tsion Behailu
Pitchbook URL
pitchbook.com/profiles...432489-61
Legal Name
Arize AI, Inc.
Legal classification
Corporation
Corporation
Date Incorporated
2020
Number of Employees (Ranges)
51 – 200
Full Address
740 EDGEWOOD AVE. MILL VALLEY CA 94941 United States
CIK Number
1,803,829
Place of Incorporation
Delaware
Delaware
Investors
Trinity Ventures
Trinity Ventures
Foundation Capital
Foundation Capital
The House Fund
The House Fund
TCV
TCV
Battery Ventures
Battery Ventures
Swift Ventures
Swift Ventures
Brett Wilson
Brett Wilson
Founded Date
2020
Total Funding Amount (USD)
61,024,999
Latest Funding Round Date
September 8, 2022
Competitors
VocaliD
VocaliD
BentoML.ai
BentoML.ai
Herbie.ai
Herbie.ai
PentoPix
PentoPix
Diffgram
Diffgram
Biodock
Biodock
Alleo.ai
Alleo.ai
Vivun
Vivun
...
CTO
Michael Schiff
Michael Schiff
Latest Funding Type
Series B
Series B
Patents Assigned (Count)
1

Other attributes

Company Operating Status
Active
Latest Funding Round Amount (USD)
38,000,000
Overview

Arize AI is a company developing a machine learning (ML) observability platform for real-time monitoring, analysis, and explainability. ML observability is the practice of understanding a model's data and performance across its lifecycle. It enables ML developers to identify the root causes behind a model's behavior in order to improve it. The Arize platform helps developers monitor, troubleshoot and explain models. It is used by data science and ML engineering teams to perform the following:

  • Monitor real-time model performance, with support for delayed ground truth/feedback
  • Perform root-cause model failures/performance degradation using tracing and explainability
  • Conduct multi-model performance comparisons
  • Surface drift, data quality, and model fairness/bias metrics
  • Log model inferences across training, validation, and production environments

Diagram showing Arize functionality and how the platform fits into ML workflows.

Diagram showing Arize functionality and how the platform fits into ML workflows.

Arize acts as an inference/evaluation store to better understand ML models once they are deployed into production. It is an open platform that works within the user's ML infrastructure and can be deployed as SaaS or on-prem. Atrize natively supports:

  • Tabular/structured data types (strings, floats, booleans, etc), as well as embedding support for NLP, image, and other unstructured data types.
  • Binary classification, multi-class classification, regression, ranking, NLP, and CV model types.

The model type informs the data ingestion format and the performance metrics that can be utilized in the platform. Arize surfaces outlier/anomalous data through data quality checks, drift checks, and feature performance heatmaps.

Arize AI was founded in 2020 by Jason Lopatecki (CEO), Aparna Dhinakaran (CPO), Michael Schiff (CTO), Mikel King (Technical Lead), Gabe Barcelos (Head of Solutions Architecture), Tsion Behailu (Engineer), Manisha Sharma (Engineer), and Nate Mar (Engineer). The company was formed through the common frustrations of Lopatecki and Dhinakaran when it came to understanding ML model behavior. This led to the development of the Arize platform for ML observability.

Funding

Arize AI announced it had already raised $4 million in seed funding when it came out of stealth on February 18, 2020. The funding was led by Foundation Capital, with participation from Wilson and Trinity Ventures. On September 28, 2021, the company announced $19 million in Series A funding led by Battery Ventures. Other participants included existing investors Foundation Capital, Trinity Ventures, The House Fund, and Swift Ventures. On September 8, 2022, Arize AI announced a $38 million Series B round led by TCV with participation from Battery Ventures and Foundation Capital.

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Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

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