Research

Frontier

Cardana Frontier is our research arm — where we explore the edges of what's possible in AI-assisted learning, cognitive governance, and human-AI collaboration.

This is long-term work. We don't rush to publish, and we don't announce things before they're ready.

No Timelines

Research takes as long as it takes. We don't announce dates for work that isn't ready.

No Hype

We describe what we're working on honestly, without exaggerating capabilities or implications.

Serious Work

Frontier exists to do rigorous research, not to generate marketing content or investor excitement.

Research Areas

Cognitive Governance

Active

Developing frameworks for how AI systems should reason, decide, and constrain themselves in educational and creative contexts.

Adaptive Learning Systems

Active

Research into how persistent learner profiles can improve AI-assisted education over time, without explicit configuration.

Safe AI Behaviour

Active

Investigating how to build AI systems that support human capability without encouraging dependency or replacing judgment.

Context-Aware Intelligence

Early Research

Exploring how environmental constraints shape AI behaviour and how routing decisions can improve outcomes.

Human-AI Collaboration

Early Research

Understanding the patterns of effective human-AI collaboration and how interface design affects outcomes.

Our Approach to Research

Frontier exists because we believe the most important questions about AI-assisted learning haven't been answered yet. How should AI systems behave when helping people learn? What boundaries should they have? How do we build tools that enhance capability without creating dependency?

These aren't questions you answer with a single paper or a quick feature. They require sustained investigation, iteration, and intellectual honesty.

We publish when we have something to say — not on a schedule, and not to meet external expectations. The work matters more than the announcements.

Access Frontier

Frontier is available as a workspace for experimental features and early research access. Not everything there is stable — that's the point.

Open Frontier