Comparing the most popular open source synthetic data generators with MOSTLY AI's Synthetic Data Platform for informed decisions.

Data-driven personalization analyzes customer data in real time. Machine-learning models provide personalized services based on the customer's financial profile. These machine-learning models need quality data—and lots of it.

MOSTLY AI now ships with geo data support, thus allowing any organization to synthesize and truly anonymize their geo enriched data assets at scale. In this blogpost we present examples of synthetic geo data using publicly available datasets.

MOSTLY AI’s synthetic data is highly representative granular-level data. But how good is it? What does it mean when we state “as good as real” or even “better than real”? And how can it be compared across offerings?

At MOSTLY AI we take pride in offering the world’s most accurate synthetic data platform and that our AI-generated synthetic data is “as good as real”. It seems we might have been wrong on that one, and that it can be very well considered “better than real”.

Behavioural data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioural data your ultimate test case for choosing your preferred synthetic data solution!

Behavioral data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioral data your ultimate test case for choosing your preferred synthetic data solution!

Behavioral data is the new gold. Go Synthetic to unleash its potential – and make sequential behavioral data your ultimate test case for choosing your preferred synthetic data solution!

My colleague Mitch likens synthetic data to synthetic diamonds when pitching our value proposition to potential customers. And it’s indeed a fitting analogy.