A cloud-agnostic Operating System where Apps, AIs, and Avatars thrive together.
Autonomous Learning Machines™ (ALMs)
ALMs which support both generative and layered AI components at once.
OS Architecture
Integrated OS Components
Custom Avatars
Custom Avatars designed using
ChatAssembler™ Robot Maker Studio.
Neural Composite Score™ : CE12
Patented AI scoring models
AI scoring model, Neural Component Score™ (NCS) are used to determine which trained
AI components can be assigned into an ALM.
Neural Component Scores (NCS)
ARIAL Cloud Language
Using ARIAL assembly language, ALMs and Avatars communicate with the external world.
ARIAL
(Autonomous Robotic Interactive AI Language)
AI Models
AI Models define a specific AI component as independent Micro service Clusters and containers. They are assigned independent Neural Component Scores (NCS). Multiple AI Models make up one ALM along with other components.
App Models
The app model defines an apps architecture, functionality, data models and related ALMs. External integrations are also defined in the App Model.
Data Models
The Data model defines a full schema and entity relationship for a specific data sources. One or multiple Data Models can be combined to form an App Model.
Native Apps
Existing apps can be integrated into PerfectLogic OS. Native apps run directly in the cloud platform and can be operated or modified by AI right off the gate.
Platforms
Platforms are a combination of multiple apps, integrations and data models. They are aggregation of multiple Models. A platform can use one or multiple ALMs. Platforms can have their own Neural Composite Score as well.
App Engines
App Engines are low code platforms for building apps.
Apps can be built using App Engines or without them.
Data Clouds
AI-ready data clouds which can be used for AI testing and training.
Public and private data stores which can be accessed by AIs, Apps, Avatars and ALMs.