April 20, 2012
Matteo Rizzi, Innovation Manager, Innotribe, says “I’m delighted to announce DemystData as a semi-finalist and look forward to discovering more about the business. This year’s semi-finalists have assessed the developments and trends in the region and have identified opportunities in the market. The entrants have each demonstrated a forward-thinking and innovative approach to the financial sector and have developed start-up businesses which could have profound impacts on the future of the industry. I’m extremely excited to give DemystData the opportunity to pitch its ideas to some of the top decision makers in the industry”.
Enough said! Looking forward to seeing everyone in Singapore on April 24th,
Launched in 2009, Innotribe is SWIFT’s initiative to enable collaborative innovation in financial services. Innotribe presents an energising mix of education, new perspectives, collaboration, facilitation and incubation to professionals and entrepreneurs who are willing to drive change within their industry. It fosters creative thinking in financial services, through debating the options (at Innotribe events) and supporting the creation of innovative new solutions (through the Incubator, Startup Challenge and Proof of Concepts (POCs). It is through this approach, the Innotribe team at SWIFT is able to generate a platform that enables innovation across SWIFT and the financial community. For more information, please visit http://www.innotribe.com/.
Leave a Comment » | Uncategorized | Tagged: demyst data, innotribe startup challenge, predictive analytics, social data, SWIFT | Permalink
Posted by kjdenberg
July 12, 2011
We’re opening some private beta trials to the DeMyst API, a tool that leverages rich public data sources; think digital footprint, telecommunications usage, and much more, to predict risk or conversion when there is minimal consumer information available. Initially targeted at lenders, a few client meetings quickly revealed that our tool had broad applications to anyone working with ‘thin file’ customers. So, like any good group of bootstrapping engineers, we iterated a bit, and hence, the latest version of the DeMyst API, a tool capable of predicting anything, was born.
How does it work?
The tool excels at predicting a ‘target’ with minimal inputs/identifiers. Of course, the more identifiers the better, but the reality is, there is a bunch of rich data out there in the public domain that with a bit of aggregation, some pretty geeky analytics, and kickass technology, allows us to produce either a standalone prediction or complementary attributes for your own scorecards. The UX is painless; just upload a decent sized sample containing whatever identifiers are available (e.g. it even works with just email!), we’ll append nifty third party data, exert our ‘muscle’, and within minutes, produce an API with a custom prediction. Yes, minutes.
Sounds cool, prove it:
From a proud founder’s perspective, we’ve been pretty blown away by how much lift is being created by the toolkit. We can boast a >90% hit rate and significant growth improvements. To prove it, we’re offering a few private beta spots so you can test for yourself.
What’s the catch?
There are two:
- You must be brutally honest and willing to provide us with feedback to help us refine the product.
- You must have a genuine interest in commercially using the product if you like it (at a preferred rate of course).
To show our appreciation, we promise to provide attentive support and assistance, some free consulting help, and a certain level of exclusivity as a lighthouse customer. This of course all comes free with your early access to a slick new tool that could massively increase your distribution without impacting your current risk level.
To reserve your spot, click here .
Leave a Comment » | CreditData, Modeling | Tagged: alternative data, api, big data, credit risk, creditworthiness, DeMyst, overfit, predictive analytics, predictive modeling | Permalink
Posted by kjdenberg