Pong AI

Contextual Intelligence - federated context data services for accurate, responsible, and governed AI.

General Information
Company Name
Pong AI
Founded Year
2013
Location (Offices)
New York, United States +1
Founders / Decision Makers
Number of Employees
3
Industries
AI, Big Data, Information Technology +1
Funding Stage
-
Social Media

Pong AI - Company Profile

Pong AI is a platform developed by Pong Labs, a research and development software team at Criterion 360, Inc., that aims to elevate AI through federated context data services, enhanced collaboration, and integrated governance. The company was founded in 2013 and is based in the United States. Pong AI's mission is to bridge the AI context deficit by providing real-time situational awareness to AI systems through its platform, pong.ai. The platform focuses on continuous learning and assessment, multi-modal data processing, augmented human-AI collaboration, and real-time situational context data. Pong AI offers context data services for AI/ML operations, providing tools and services that supply AI with contextual insights, thus improving accuracy and efficiency across sectors such as healthcare and cybersecurity. Moreover, the platform ensures responsible and compliant AI deployments by modernizing corporate governance to integrate with AI technologies. Pong AI's innovative approach to addressing the AI context deficit and providing AI systems with real-time situational awareness positions the company at the forefront of AI and machine learning technologies. As the demand for accurate, responsible, and governed AI continues to grow, Pong AI's contextual intelligence services are poised to make a significant impact in the big data and information technology industries. With its potential to revolutionize AI operations and governance, Pong AI presents an attractive opportunity for venture capital investment in the rapidly evolving AI landscape.

Taxonomy: AI/ML Operations, Context Data Services, Federated AI and Machine Learning Technologies, Real-time Situational Context Data, Governance and Compliance, Continuous Learning and Assessment, Multi-modal Data Processing, Augmented Human-AI Collaboration, Healthcare AI, Cybersecurity AI, Enterprise Collaboration, Data Governance, Privacy and GDPR Compliance, Responsible AI, Ethics in AI

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