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AI built to replace LLMs for mission-critical real-time streaming data workloads.

EVO is a neuro-symbolic intelligence platform that understands how systems behave.

EVO works in real-time data streams, learns patterns and relationships continuously and creates digital clones of real-world systems.

Instant training and runs on a low footprint. Up to 90% less CPU and memory use, enabling efficient operation across environments. Use it in air-gapped environments.
AI today does not operate effectively in mission-critical real-time data streams. These are not isolated issues — they are structural limitations in how most AI systems are designed and deployed.
Most AI systems are based on LLMs. However LLMs have fundamental design flaws when they need to operate in real-time and inside high volume data streams.
AI systems require large models, repeated retraining and significant compute resources, making them costly to run and scale.
Most AI systems depend on centralised infrastructure and external services, limiting where they can operate.
AI models are trained in advance and updated periodically, preventing them from adapting quickly to changing conditions.
Without clear evidence or traceability, teams cannot rely on AI outputs in critical or regulated environments.
Most AI systems predict outcomes but cannot evaluate the impact of decisions before they are made.
Neuro-symbolic intelligence is a fundamentally different approach. Rather than analysing static datasets alone, intelligence must observe environments as they operate, learn continuously from incoming information and understand how systems behave as conditions change.
AsterMind has developed a new artificial intelligence architecture designed specifically for this purpose. At the core of AsterMind's architecture is a proprietary neural topology based on biological and cybernetic priciples.
The EVO Platform is build on Astermind's neuro-symbolic AI technology that enables intelligence to learn directly from live environments and construct digital clones that represent system behaviour — practical to deploy across cloud, on-premise and distributed environments.
EVO is designed to analyse environments that evolve over time and understand how they behave and respond to change — across data, visual and research environments. EVO is AI specifically for mission-critical real-time streaming data workloads.
Astermind’s architecture enables a new set of intelligence capabilities designed to understand and analyse complex environments.
These capabilities allow intelligence to operate continuously alongside the systems it observes, learn as environments evolve and evaluate how systems respond to change. continuously alongside the systems they observe.
Learns from live environments rather than relying on static training datasets. As new information is observed, the system refines its understanding. When situations require judgment, EVO uses a human-in-the-loop — every expert decision is fed back into the digital clone, so EVO continuously gets smarter and more autonomous over time.
Constructs evolving representations of how environments behave, capturing relationships, signals and patterns to understand system behaviour as conditions change.
Evaluate scenarios, test conditions and analyse possible outcomes before actions are taken — reducing operational risk.
Astermind's neural topology enables efficient runtime models that require significantly less infrastructure than traditional AI systems. 99% faster execution, 90% smaller models.
Results can be examined, verified and traced back to the signals and relationships that influenced the analysis — supporting governance and compliance.
Based on the changes EVO detects in the environment and the predictions it generates, it can take instant action — triggering alerts, workflows or automated responses the moment a meaningful signal emerges.
AsterMind removes work: less glue code, fewer brittle rules, fewer late-night incidents, faster recovery when things change.
Everything you need to know about AsterMind