Build intelligent apps, web services and personal assistants on mobile devices, desktop or custom hardware.

Scalable, performant and dynamic Bayesian machine learning.

For developers and data scientists, it is a simpler and faster way to deploy intelligent services.

The Xyggy Bayesian machine learning method automatically learns and generalizes; supports all data types; has no notion of model training; predictions are calculated dynamically; provides for diversity, positive and negative relevance feedback, engineered serendipity and novelty detection.

Data can be unstructured and structured; or context and sensor data; ratings and preference data; decision, behaviour and process data and so on. Different data types can be combined to define a 'thing' (item).

Scale to whatever the size of data - small, medium or big.

Personalization with autonomous discovery.

AI-based personal assistants like Google Now and Apple's Siri. Any organization with relevant data, for example in health and education, can use Xyggy to deliver a personal assistant.

Predictive computing and recommendation systems.

Industrial Internet (Internet of Things) applications where machines generate data in pre-determined formats.

The Xyggy showcase app demonstrates personalization with autonomous discovery.

Get ahead of the scalable Bayesian machine learning curve with Xyggy.

Contact hello [at] xyggy [dot] com to work with us as an early beta customer or to be kept informed.