Aevaron is a research-driven technology company focused on the design, measurement, and validation of safe, interpretable intelligent systems.

Aevaron’s work began with a practical question:
Can intelligence be built in a way that is deterministic, inspectable, and measurable — rather than opaque and black-box?

To explore this, Aevaron is developing Synthetic Intelligence (SI), a non-pretrained, deterministic cognitive architecture designed to study intelligence as an internal dynamical system. SI is engineered so its internal states, transitions, and behaviours can be directly observed, logged, and evaluated over time.

Unlike conventional AI systems that rely on large pretrained models, SI is built from explicit components, including symbolic representation, affective state dynamics, reflection mechanisms, constraint projection, and memory. Each component is designed to be auditable and reproducible.

To support rigorous evaluation, Aevaron has developed:

MAST, a measurement framework for tracking internal coherence, stability, drift, and integrity across system runs.

Formal metrics and logging protocols that allow results to be compared across versions and experiments.

Controlled simulation environments for repeatable testing, stress evaluation, and long-horizon analysis.

Aevaron’s current work is focused on:

Demonstrating stability and alignment properties under controlled conditions

Preparing systems and results for external technical review

Formalising internal metrics and evaluation methods

Building reproducible prototypes of SI

Aevaron operates at the intersection of software engineering, cognitive systems research, and AI safety, with an emphasis on building systems that can be understood, tested, and trusted.