Artificial Intelligence | Machine Learning Arena | Make Decisions Fully Autonomous


Enterprise, Decision Intelligence, Business Decisions, Data-Driven Insights, Contextual Data New York , United States

Arena

Artificial Intelligence | Machine Learning


Arena | Make Decisions Fully Autonomous

Arena

Decision Intelligence, Business Decisions, Data-Driven Insights, Contextual Data


New York , United States

Arena delivers thoughtful, autonomous systems using artificial intelligence. Arena’s products have helped some of the world’s largest CPG companies, as well as small merchants and tech companies, transform intensive sales and supply chain processes into autonomous, self-learning systems — unlocking efficiencies and resulting in a better, more affordable consumer experience. But autonomous selling is just the beginning. Arena believes that, if safely and equitably delivered, real-world autonomy can positively transform humanity, from helping renewable energy providers reduce green premiums, to making physical infrastructure safer and more efficient. Arena is committed to bringing our technology where it can have the highest impact.

Similar to a physical robot, Autonomy OS is composed of three components: the Sensor, the Brain, and the Arm. The Sensor measures, the Brain makes decisions, and the Arm takes action. The whole system operates automatically and in real-time. Autonomy OS ingests and encodes heterogeneous data with different latency profiles – from streaming real-time and structured time series, to unstructured data like images and text – into features that train machine learning models. Autonomy OS also augments data with contextual data from Arena’s Demand Graph – a daily updating index of factors that affect consumer demand and supply – from product prices and availability by location, to demand proxies from social media platforms. Customer preferences and behaviors change, supply routes are unexpectedly disrupted, and competitors alter strategy. Autonomy OS lets teams build and deploy contextual active learning models that balance exploration with optimization – constantly updating their understanding of a changing world by actively acquiring information. In complex, multiplayer environments where the sequence of actions matters, Autonomy OS provides high-fid

 

B2B

51 to 100

Series A

$32M

Scaling Up

2019

 
 

Information Technology and Services
Computer Software

Continuous Online Learning
Enable to Track Business Impact

Increase Productivity
Revenue Growth
Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning


Decision Support System

Decision Support System


Text

Text

Structured

Structured

 

   Software


Django

Django

Tensorflow

Tensorflow

Python

Python

C/C++

C/C++

JavaScript

JavaScript

Typescript

Typescript

React

React

AWS

AWS

Azure SQL

Azure SQL


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

View All

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Machine Learning Scientist

New York, New York

Data Scientist

New York, New York

Software Engineer

New York, New York

Infrastructure Engineer

New York, New York

Front End / Full Stack Engineer

New York, New York

 

AI/ML Professionals

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5

1

$32M

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

 
 

Date

Round

$ Raised

Investors

08/03/2022

Series A

$32M

Initialized Capital, Goldcrest Capital, Founders Fund, Flexport Ventures, Michael Seibel

Date : 08/03/2022

Round: Series A

$ Raised: $32M

Investors: Initialized Capital, Goldcrest Capital, Founders Fund, Flexport Ventures, Michael Seibel

 

Investors

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Pratap Ranade

Pratap Ranade
CEO and Co-Founder

Engin Ural

Engin Ural
Co-Founder

Aaron Zelinger

Aaron Zelinger
Chief Of Staff

 
 

Potential Customers

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