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AsterMind is an AI Platform with Cybernetic AI components that trains instantly, is self-learning and adapts automatically to changes in its environment. It is always up to date, runs in the cloud or locally without internet access and can improve the use of current AI solutions dramatically.
Not a static AI model—a self-adapting AI solution with Cybernetic elements that solves problems LLMs cannot. Use AsterMind in RAG Solutions, Data Pipelines, Live data streams and more.
A new class of AI systems combining machine learning with cybernetic control principles

Cybernetic Chatbot, Intelligent RAG, AI Enhanced Data Pipelines, Universal AI Translator and custom domain-specific AI solutions built on top of the cybernetic core.
The self-learning engine providing instant training, auto-adaptation, high performance, and explainable AI capabilities. The Cybernetic Core runs in the cloud as a service or locally within your own infrastructure.
Connect corporate content, LLMs, real-time data streams, and APIs seamlessly through unified integrations.
Cybernetic AI that combines machine learning with control principles
Train in milliseconds, not hours or days. No GPU infrastructure required. Closed-form learning enables instant model adaptation with real-time iteration.
Continuously learns and adapts automatically to changes. Persistent state tracks conditions, detects drift, and adjusts behavior without retraining.
Runs in the cloud or locally without internet access. Bounded autonomy enables coherent operation even when disconnected from centralized resources.
Achieve higher benchmark scores with dramatically fewer model invocations. Selective AI coordination reduces costs while improving accuracy.
On-device learning with zero data transfer. Reduced external data transmission with clear separation between internal state and external resources.
Bounded decision pathways with full transparency. Clear attribution of outcomes to inputs and control decisions for governance and compliance.
End-to-end AI solutions ready to deploy in your infrastructure
Adaptive Data Operations Platform
Maintains semantic and structural stability in living data systems. Four integrated modules — SchemaSense™, Normalize™, DriftGuard™, and Data Reflex™ — form a closed feedback loop for modern data operations, continuously observing, adapting, and responding as data evolves.
Browser-native, closed-form AI stack for retrieval, reranking, and summarization. Built on ELM/KELM with deterministic processing, Transfer Entropy controls, and millisecond training—fully offline with complete explainability.
Browser-native ELM technology for development teams
Everything you need to know about AsterMind