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EVO Architecture
EVO is built on Astermind's AI neural topology, a proprietary intelligence architecture designed to learn from live environments and construct digital clones that represent system behaviour.
The EVO platform is structured around four core concepts that define how EVO ingests environments, represents system behaviour and executes intelligence processing.
Core Concepts
The EVO platform is structured around four core concepts that define how EVO ingests environments, represents system behaviour and executes intelligence processing.
Environment Ingestion
EVO ingests data from a wide range of environments including data systems, visual environments and scientific systems.
Digital Clones
Powered by Astermind's neural topology, EVO constructs digital clones that represent the behaviour of the environments it observes. These digital clones represent system behaviour, including relationships, patterns and system dynamics, and evolve as new data is observed.
EVO Engines
Specialised EVO engines operate on digital clones to execute processing and simulation tasks. Each engine is designed for a specific type of environment, such as structured data analysis or visual analysis.
Results and Action Interfaces
EVO produces results that can be delivered to downstream systems, processes and applications, allowing integration with operational environments.
Deployment Models
EVO is designed to operate across a wide range of environments, allowing deployment where it is needed without being constrained by infrastructure or external AI services.
Cloud Deployment
EVO can operate within cloud environments to analyse large-scale data and integrate with existing cloud platforms.
Allows deployment alongside existing cloud infrastructure and AI services.
On-Premise Deployment
EVO can run within on-premise infrastructure, including directly on devices and within operational systems and data environments.
Supports environments that require local processing, lower latency or control over infrastructure.
Air-Gapped Deployment
EVO can operate within fully isolated environments without requiring access to external AI services or internet connectivity.
Allows operation within secure and regulated environments where external connectivity is restricted.
Hybrid AI Deployment
EVO can also operate alongside existing AI platforms. In these environments EVO acts as an optimisation layer that coordinates interaction with external AI systems.
Allows integration with existing AI infrastructure.
Operating Models
EVO operates as either a standalone AI platform or alongside existing artificial intelligence systems. This flexibility allows adoption based on existing technology environments and AI infrastructure.
Standalone AI Platform
EVO can operate independently as a complete AI platform. In this configuration EVO ingests environmental data, constructs digital clones and executes EVO engines to process behaviour, simulate scenarios and produce results.
Operating as a standalone platform provides full access to EVO architecture and intelligence components.
Enhancing Existing AI Systems
EVO can also operate alongside existing artificial intelligence platforms and models. In these environments EVO evaluates environmental behaviour and coordinates the use of external AI models.
Allows integration with and extension of existing AI systems.