Megagon Labs

Our mission is to empower people with better information to make their best decisions. Megagon Labs (formerly Recruit Institute of Technology) is an innovation hub within the Recruit group that has over 352 subsidiaries, 45,856 employees, and annual revenues of approx. $21 Billion (in 2019). Recruit group’s primary businesses are in the space of Human Resources and Lifestyle internet services. Megagon Labs in Mountain View and Tokyo are developing a global network of innovation that includes world-class research, relationships with top universities and companies in the Recruit group.

Company Overview

Megagon Labs is a privately held company founded in 2016, operating in the Research Services industry. With a team size of 43, it is classified as a small business. The company is headquartered in Mountain View, California, and also operates innovation hubs in both Mountain View and Tokyo, Japan. Megagon Labs is part of the Recruit group, which consists of over 352 subsidiaries and reported annual revenues of approximately $21 billion as of 2019.

Specialties

Megagon Labs specializes in various advanced fields including Artificial Intelligence, Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot Interfaces, Crowdsourcing, and Visualization. The company engages in cutting-edge research and develops technologies that address complex challenges in these areas.

Research and Development

The company focuses on several research areas, including Knowledge Representation & Reasoning, Natural Language Processing, Human-Centered AI, and Data AI Symbiosis. Megagon Labs has developed notable technologies such as OpineDB, a subjective database system for experiential search, and Rotom, a data augmentation framework for training high-quality machine learning models. Additionally, it operates BigGorilla, an open-source data integration and preparation ecosystem.

Internship Opportunities

Megagon Labs offers internships for graduate students, providing opportunities to work on real-world problems in Natural Language Processing, Machine Learning, and Data Management. This initiative allows students to gain practical experience while contributing to the company's research efforts.

Community Engagement

The company actively hosts workshops such as NLP4HR and Matching to foster collaboration within research communities. It has also created tools like ExtremeReader, an interactive explorer for customizable and explainable review summarization, and Snippext, an opinion mining pipeline that requires less training data. These initiatives demonstrate Megagon Labs' commitment to advancing research and innovation.

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