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A Different Approach to AI
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.
What This Enables
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.
More Efficient AI Runtime
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.
- ✓ 99% faster AI execution than typical API-based model calls
- ✓ 30% fewer model calls when interacting with existing AI models
- ✓ Models up to 90% smaller than typical LLM architectures
- ✓ Up to 90% lower memory and GPU usage
- ✓ No large GPU infrastructure required
Lower Infrastructure Footprint
EVO's architecture requires significantly less compute, memory and infrastructure than traditional AI systems.
Adaptive Intelligence
Built on AsterMind's real-time learning approach, EVO allows intelligence to evolve as systems and conditions change, reducing dependence on model retraining cycles.
Simulation-Driven Decisions
EVO evaluates potential outcomes through simulation, allowing organisations to evaluate decisions before taking action and reducing operational risk.
Flexible Deployment Including Air-Gapped Environments
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.
- ✓ Deploy intelligence in secure and regulated environments
- ✓ Support organisations that cannot rely on external AI services
- ✓ Reduce infrastructure dependencies and operational risk
- ✓ Enable AI deployment across critical systems
Deeper Understanding of Complex Environments
EVO constructs digital clones that represent how systems behave, enabling deeper understanding of relationships, dependencies and behaviour across complex environments.
Performance and Efficiency at Scale
Efficiency and Infrastructure
- ✓99% faster AI execution than typical API-based model calls
- ✓Models up to 90% smaller than typical LLM architectures
- ✓Up to 90% lower memory and GPU usage
- ✓No large GPU infrastructure required
Performance and Accuracy
- ✓30% fewer model calls when interacting with existing AI models
- ✓Intelligence based on live environmental behaviour
- ✓Faster adaptation to changing conditions
Scale and Reliability
- ✓Deploy intelligence in secure and regulated environments
- ✓Support organisations that cannot rely on external AI services
- ✓Reduce infrastructure dependencies and operational risk
Start Free with the Community Edition
Experience the power of Extreme Learning Machines with our open-source library
AsterMind-ELM Community Edition
The complete ELM library with 21+ specialized variants, RAG pipeline, synthetic data generation, and all core features. Free and open-source under the MIT license.
- ✓ Full ELM implementation
- ✓ TypeScript native with full type safety
- ✓ Browser & Node.js compatible
- ✓ MIT licensed - use anywhere
# Install via npm
npm install @astermind/astermind-elm
// Quick start
import { ELM } from '@astermind/astermind-elm';
const model = new ELM({ hiddenSize: 100 });
model.fit(trainingData, labels);
const predictions = model.predict(testData);