2016
The Real-Time Web at your fingertips
We help solve problems businesses face in using the unimaginable amount of data being created every day
What We Do
  1. BIG DATA ANALYTICS
    BIG DATA ANALYTICS
    We engage in research and development of highly accurate Sentiment Analysis Measurements. Our methods are based on training, on a human supervision basis, algorithms on millions of samples of text. We have patent pending methods for tagging Tweets for sentiment. We also use proprietary Deep Learning methods for predicting Sentiment with a high degree of accuracy
  2. APIS, USER INTERFACES, HISTORICAL DATA
    APIS, USER INTERFACES, HISTORICAL DATA
    We develop: 1. Low-latency APIs for streaming real time data. 2. User interfaces in which subscribers can add key words and visualise real-time sentiment indicators and view breaking alert text. 3. Access to historical Sentiment time series.
  1. Patent Pending Methods For Supervised Learning
    Our AlgoSkool approach uses a patent pending method for tagging text for sentiment by farming out work to thousands of people
  2. Accurate Measurements
    Our methods have been trained on hundreds of millions of text for sentiment classifications.
  3. Low latency
    We believe low latency is important. This is why we designed all facets of the system with speed in mind.