Advances in machine learning enable simulating synthetic populations, that resemble the characteristics as well as diversity of actual people. For the first time, rich personal data assets become available at scale for many industries, that can be freely processed, analyzed and shared further.
Finally, big data & privacy protection are both possible!
Mostly AI has developed game-changing new technology that enables you to simulate an unlimited number of highly realistic & representative synthetic data, matching the patterns and behaviors of your actual data at an unprecedented level.
This opens up a whole range of opportunities for your otherwise locked-up data, and results in
✔ faster innovation,
✔ less risks, and
✔ less costs
The accuracy of our Synthetic Data Engine goes far beyond what is known as mockup or dummy data. It enables you to share highly accurate, yet anonymous data at scale, with a broad range of internal as well as external partners, without putting your customer's privacy or your reputation at risk.
Accelerate the development, testing and integration of your next-generation, data-driven products and services by providing as-good-as-real data to your developers and testers.
Data is the new oil. So, fuel your innovation by broadly sharing granular level data with researchers, startups and innovators alike, increasing the chances for disrupting breakthroughs.
Restricting data access to a handful of engineers prohibits broader customer understanding. Establish a modern data-driven culture by openly sharing representative data at all levels to boost customer-centricity.
Digital products only come to life with data. Thus, it is pivotal to provision highly realistic data, in all its diversity, to product owners and designers in order to deliver an intuitive, relevant user experience to your customers.
A range of SaaS providers offer compelling new solutions, but require data to be ingested for test-driving their services under realistic conditions. Provide synthetic in lieu of actual data to safely experience these new offerings in action.
Enable external developers to build upon your existing customer base by adding additional data-driven services. Developing these will require, aside from well designed APIs, also the provisioning of realistic data to prototype against.
Advanced analytics, machine learning and artificial intelligence require broad data access, and new emerging tools & infra. Provide data at scale and with peace of mind in non-prod environments to your data scientists and AI engineers alike.
Share your data assets without putting privacy at risk, either directly or via data marketplaces. Synthetic data can be offered at its fullest detail, and thus delivers much higher value compared to existing anonymization techniques.
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