Important Notice:
We are on a holiday of a lifetime....
so we are pausing our developments
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Exciting innovations coming soon!
who we are
We are data scientists, psychologists and problem solvers working together to bring real-time data thinking to industry, law enforcement and governments across the world.
what we do
Using our combined experience to predict and solve tomorrow’s problems before they happen. We use our behavioural analytics with our data science, neural network expertise to interpret historical, real-time business, consumer, social, economical and political data. Helping clients to understand and address issues before they affect their business models, operations, revenue or future market opportunities.
Which includes;
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Understanding then improving customer and consumer engagement - experience
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Increasing company effectiveness and efficiency, reducing pain points, growing revenue
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Identifying market opportunities and threats
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Predicting social and economic behaviour
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Discouraging crime and making a safer society for all
how we do it
With a unique and innovative neural network that ingests historical and real-time data from millions of global feeds to build a groundbreaking hippocampus toolset. A proprietary global communications network that means we never lose contact. A set of data scientists, psychologists, leading industry, political and criminal experts that bring collective intelligence to act as a hive to deliver our objectives.
research
The Challenges of Social Network Analysis
How it is or isn’t used in the insurance industry and law enforcement: An ellitrax® White Paper
White Paper Proposition
Currently, Social Network Analysis (SNA) is not being fully utilised by law enforcement and the emerging “insuretech” industry. Are there lessons to be learned from using SNA from other commercial sector data analytics? Are the right resources available from the market to help reduce crime whilst adding value for consumers and business? What will it take to translate technology advances combined with psychological and mathematical techniques to make a difference? Do solutions exist at a reasonable price without breaching the General Data Protection Regulation (GDPR)?