Repustate

Overview
News
Natural Language Processing Tools?
Product stageSegments
Early
?
Sentiment analysis
?

Repustate is a sentiment analysis and social listening company based in Toronto, Canada, founded in 2010 by Martin Ostrovsky. The company provides AI-powered semantic technology solutions for sentiment analysis, text analytics, and enterprise search across various industries including healthcare, banking, education, automotive, and governance. Repustate's platform uses natural language processing (NLP), artificial intelligence (AI), and machine learning to convert text and video data into meaningful business intelligence.

The company's sentiment analysis API and platform can analyze data from multiple sources including surveys, social media, news, and more in over 23 languages natively without translations. This allows for faster and more accurate analysis. Repustate's technology is capable of analyzing 1,000 comments per second, making it suitable for processing large volumes of data. The platform provides aspect-based sentiment analysis, allowing for granular insights into specific topics and themes within the data.

Repustate's offerings include customizable machine-learned NLP models tailored to each customer's needs. The solutions can be deployed on-premise or in the cloud, providing flexibility for different business requirements. The company emphasizes its ability to provide accurate insights with over 85% precision. Repustate's platform also features semantic search capabilities and entity recognition to identify key names and brands within analyzed content.


Sources

Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
Toronto ON CAN
Founded year:
2010
Employees:
11-50
IPO status:
Private
Total funding:
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Last Funding:
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Last valuation:
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