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EVO transforms how organisations deploy and use artificial intelligence. Instead of relying on static datasets or large external AI services, EVO enables intelligence to operate in real-world environments, supporting faster, more reliable decisions and actions with lower infrastructure and operating costs.
Most artificial intelligence systems analyse datasets and generate predictions based on historical training data.
EVO takes a fundamentally different approach.
EVO operates directly within real-world environments and adapts as conditions change.
Many AI platforms rely on large models, repeated API calls and compute-intensive infrastructure. EVO uses a highly efficient neural architecture that dramatically reduces the resources required.
Impact:
EVO's architecture requires significantly less compute, memory and infrastructure than traditional AI systems.
Built on Astermind's real-time learning approach, EVO allows intelligence to evolve as systems and conditions change, reducing dependence on model retraining cycles.
EVO evaluates potential outcomes through simulation, allowing organisations to evaluate decisions before taking action and reducing operational risk.
EVO can run across cloud platforms, on-premise infrastructure and fully air-gapped environments, allowing organisations to deploy intelligence in locations where traditional AI systems cannot operate.
Impact:
EVO constructs digital clones that represent how systems behave, enabling deeper understanding of relationships, dependencies and behaviour across complex environments.