Research

Research into AI systems capable of reasoning, planning, autonomous execution and interaction with complex software environments.

• large language models
• reasoning systems
• autonomous agents
• memory architectures
• tool-using AI
• adaptive AI systems

Traditional software architectures were designed primarily for human developers.

We investigate an alternative model in which AI agents can dynamically create, modify and operate software according to current requirements.

• Can software functionality be generated on demand?
• Can agents communicate using machine-native representations rather than human documentation?
• Can application architecture become dynamic rather than predefined?
• Can agents generate instructions primarily for other agents?

Research into distributed and adaptive knowledge representations.

• knowledge graphs
• semantic retrieval
• graph + vector systems
• dynamic relevance weighting
• personalized knowledge maps
• AI-readable documentation

Research into AI-assisted security workflows for modern software systems.

• AppSec automation
• vulnerability detection
• secure code review
• remediation
• dependency analysis
• authorized security testing
• security-aware AI agents

Experimental mathematical and computational models for representing complex systems, balancing relationships and solving computational problems.

Research into systems in which biological and artificial intelligence can operate as complementary parts of a larger cognitive architecture.

• human-AI interaction
• cognitive augmentation
• adaptive interfaces
• shared knowledge environments
• long-term human-machine symbiosis