Understand how your market is perceiving your brand.
Compare perception metrics on multiple topics over time. The example displays results for US presidential candidates from Q2 2018 to Q2 2019.
View multiple perception metrics for a topic by source, whether media or end users, with individual entity scoring. The example displays perception metrics on Ethereum from a single source.
Learn how the market values specific product features for a variety of perception metrics on a topic. The example displays feature importance for a mobile phone.
Understand how the market values your brand on two perception metrics and compare it to other brands. The example displays auto brands.
View market activity by location for a specific topic, scored for a perception metric. The example shows countries with high scores for distribution on a brand.
Discover companies with high scores for your perception metrics on a topic. The example shows the person at a company with a high score for cloud services.
See locations that score highly for your perception metrics on a topic. The example shows activity share across the United States with positive or negative growth.
Before conducting a long and expensive market survey and analysis, view multiple perception elements on your topic to learn whether that expensive survey is necessary.
AI needs large sets of clean data to work. Rehinged has built a proprietary data processing engine to apply sophisticated machine learning to massive data feeds. This is 85% of the work for most data scientists, and a necessity to process market intelligence at scale.
Rehinged’s scalable AI-powered data pipelines, using sophisticated natural language processing (NLP), allow us to interpret massive amounts of information about markets, products, brands and trends.
By re-engineering the data pipelines to have an on-demand flow of clean market information, our data scientists can apply AI and ML models to automate many components of market research.
Our innovation at the bottom of the stack allows for continuing innovation at the top of the stack.
Supplement your existing market research services with Rehinged.AI to deliver additional value to your clients and replace manual market research costs.
For the enterprise – add sophisticated market intelligence to support your marketing department, R&D and strategic initiatives.
Our platform uses cutting-edge AI with sophisticated natural language processing (NLP). Our Latent Dirichlet Allocation topic modeling classifies text to label unstructured data – text, images and video – and then appends topics using modern AI libraries.
Our data processing engine then selects models to perform named entity recognition (NER). This allows it to measure coherence score in order to fine tune the model and perform individual entity sentiment.
This differentiates our AI platform from the current industry standard which only provides a single sentiment score on an article. Rehinged.AI delivers entity sentiment within an article, at scale, which unlocks important insights missed by other AI tools.