Omnimodal Perception
Bring language, image, audio, video, behavior and context into a shared, source-aware state.
TECHNOLOGY
The architecture behind evolving agents.
Human–AI interaction is the starting point. Our research connects perception, world models, action and assessment so an agent can learn from feedback and improve its next step.
Understand human goals and signals from the world.Build a model of the situation and possible next steps.Turn understanding into a useful next action.Evaluate outcomes with evidence and human feedback.Use what was learned to improve the next interaction.
SYSTEM OVERVIEW
One loop. Six connected layers.
Each layer produces structured evidence for the next. Evaluation closes the loop and determines whether any proposed improvement should persist.
CONTEXT
Text · Image · Audio · Video · Behavior
- 01Perceive
- 02Model
- 03Plan & Act
- 04Assess
- 05Evolve
EVIDENCE
Outcomes · Capability · Uncertainty · Safety
ARCHITECTURE LAYERS
From signal to governed change.
Agentic World Model
Maintain a grounded model of the user, task and environment; represent uncertainty and simulate alternatives.
Planning & Tool Use
Choose tools, coordinate steps and act toward an explicit, measurable goal.
AI Assessment
Measure capability, progress, outcome quality, uncertainty and safety.
Memory & Evolution
Turn evaluated experience into changes to memory, strategies, tools and workflows.
Safety & Governance
Keep objectives verifiable and changes observable, testable, sandboxed and reversible.
FROM RESEARCH TO REALITY
A clear view of what is available and what comes next.
The architecture describes our technical direction. Availability belongs to each product; research and frontier work remain open questions.
- PRODUCT
- Visit CramAI for its current experience and available features.
- IN RESEARCH
- Questions, prototypes and experiments we are exploring.
- FRONTIER
- Long-term directions, including governed recursive self-improvement.