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
Software
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
5
1
$32M
Company was founded 2019 and it took almost 3 years (Aug 2022) to raise first external round
Investors
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Pratap Ranade
CEO and Co-Founder
Engin Ural
Co-Founder
Aaron Zelinger
Chief Of Staff