Research at Flink Labs is not separate from practice.
It’s how we test ideas, sharpen judgement, and understand what
actually holds up in complex systems.
Our focus is on how intelligence emerges, behaves, and adapts under real conditions. We explore these questions through three closely related threads, not as theory for its own sake, but as a way to build better systems.
Latent Life
Latent Life looks at how intelligent behaviour can emerge from simple rules and interactions, rather than being explicitly designed.
We study systems inspired by biology and artificial life to understand adaptability, resilience, and growth. The underlying question is whether intelligence can be cultivated rather than imposed, and what that means for building systems that don’t collapse under change.
Emergent Agency
Emergent Agency explores how intention, coordination, and communication arise when autonomous agents share an environment.
We study collective behaviour, negotiation, and decision-making in multi-agent systems, paying particular attention to how agents cooperate, compete, and sometimes collude. The interest here is not just what systems do, but how patterns of behaviour form and persist.
These ideas shape how we reason about complex decision systems, simulations, and distributed intelligence.
Situated
Intelligence
Situated Intelligence focuses on intelligence operating inside real, constrained environments.
Rather than assuming unlimited compute, clean data, or ideal conditions, we explore systems that must function with limited resources, noisy inputs, and physical or organisational constraints. The emphasis is on robustness, context-awareness, and systems that can be trusted in use.
This thread directly informs how we approach real-world deployment and embedded intelligence.
Together, they form a practical lens for thinking about intelligent systems that are usable, durable, and understandable.
Some research remains exploratory. Some becomes internal tools. Some flows directly into commercial work.
What matters is that exploration sharpens how we think and build. Research here is not about accumulation, but about improving the quality of decisions and systems over time.
If this way of thinking resonates, let's talk.