logo Created with Sketch.

Market Research

Datawallet empowers market research firms with access to insights based on data that is 7,400x richer than conventional data capture methodologies. Datawallet allows for entirely automated data capture which eradicates the biases associated with traditional surveying techniques. Rather than having to rely on data capture that starts at the point in time a panelist engages in a market research survey, Datawallet furthermore allows users to share historic data, making years worth of data available to companies within a matter of seconds.

The Challenge
research

Customized Services

Music or video streaming services are already actively adapting to each user, trying to take the user’s behavior on their platform to make better recommendations. However, this is a slow process that requires significant user interaction with the service to calculate their taste profile. If users share a few relevant data points from their data wallet as a ‘taste profile seed’ for the services personalization algorithms, users can skip the training phase and experience a customized service right out of the box.

The Challenge
services

Deterministic Advertising

Datawallet can provide the holy grail of advertising — deterministically matching target customers based on their verified interests and purchases. And Datawallet does this right, through the expressive consent of the end users consuming the ads. With Datawallet’s deterministic advertising solution, advertisers will never have to rely on DSPs inferring interests based upon opaque browsing criteria. Instead, they can deterministically find the right target customers based on verifiable historic as well as real-time social media and purchase data. Fulfilling the vision of industry thought-leaders like Seth Godin, Datawallet offers the first scalable platform that brings the vision of permission-based advertising to life.

The Challenge
advertising

Personalized Car Insurance

When it comes to getting a good auto insurance quote, good drivers are being penalized by the coarse categories employed by traditional insurers. Safe drivers who come from statistically risky categories are paying a premium. Innovative insurers are racing to go beyond the coarse demographics they currently use to find ways to more accurately assess drivers risk and to offer better rates to those previously misclassified. A user’s collated data wallet is exactly what Auto insurers are looking for, and can be the kernel to train the next generation of granular risk assessment algorithms that will allow sophisticated insurers to skim the cream of the drivers of each category and offer them the best deal — a win-win.

The Challenge
insurance

Personalized Loan Underwriting

The lending industry faces similar incentives and challenges. Innovative lenders are searching for ways to more accurately determine a borrower’s probability of defaulting. Intelligent risk-scoring algorithms built upon borrowers’ collated data wallet can discover risky or safe tendencies invisible to algorithms built upon the data standardly considered. Additionally, borrower’s need not fill out form after form to receive a loan quote — they can share the relevant data points from their Datawallet with the click of a button.

The Challenge
insurance

Psychographic Hiring

As finding top talent becomes ever more competitive, companies are looking for innovative ways to both automatically identify compelling candidates early in the screening process and to have a more rigorous assessment of fit when evaluating the final candidates. A digitally interpretable collation of an applicant’s experiences, talents, and personality — an applicant’s data wallet — forms the basis for AI algorithms to find the diagnostic constellation of features that can guide a more refined hiring process.

The Challenge
hiring