01IN RESEARCH
Self-Evolving Agents
How agents can learn through human interaction, carrying useful feedback into better memory, decisions and workflows.
Explore this areaMOMENTS RESEARCH
Agents that learn from experience. People who grow with them.
We study self-evolving agents shaped by human–AI interaction: how they understand context, plan useful action and improve through feedback. CramAI brings these questions into career growth.
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.
RESEARCH AGENDA
Four frontiers. One connected system.
Each area addresses a different part of the same question: how can intelligence keep learning while remaining useful, measurable and governable?
02IN RESEARCH
Agentic World Models
Internal models that represent state, predict outcomes, simulate alternatives and support closed-loop action.
Explore this area03IN RESEARCH
Omnimodal Intelligence
Unified understanding across language, vision, audio, video, behavior and real-world context.
Explore this area04IN RESEARCH
AI Assessment & Alignment
Continuous measurement of what a person or agent can do, where it fails, how certain it is, and whether it is improving safely.
Explore this areaFRONTIER
Read the agendaToward governed recursive self-improvement.
A long-term research direction, grounded in evaluation, controlled experiments and human oversight.
RESEARCH INTO PRODUCT
Career growth brings our research into focus.
CramAI is a career coach agent designed to help you find direction, build relevant skills and take your next step as work changes. Its Learn, Practice, Assess and Improve loop gives our research a practical question: what helps a person make progress toward a career goal?
Explore CramAIMOMENTS RESEARCH · PUBLIC OUTPUTS
Research you can read, examine and build on.
Papers, technical reports and public code connect research questions with methods and applications.
Papers
Published papers, preprints and accepted research.
No public records listed
No company papers are currently listed.
Technical reports & notes
Methods, observations, evaluation conditions and limitations.
No public records listed
No public technical reports or research notes are currently listed.
Open source & public code
Public projects with documentation, versions and license information.
No public records listed
Visit Moments AI on GitHubNo public code projects are currently listed.
OPEN PROBLEMS
Questions worth building around.
These questions frame research directions. They are not claims of solved capability.
- 01
Self-Evolving Agents
How can useful experience persist without losing consent, provenance or context?
- 02
Agentic World Models
What state must an agent retain to act coherently across long horizons?
- 03
Omnimodal Intelligence
How can signals from different modalities retain their provenance and timing?
- 04
AI Assessment
What evidence demonstrates capability rather than familiarity or fluency?
COLLABORATION & INTEGRITY
Build research that can survive contact with the world.
We are interested in joint research, benchmarks and applied pilots with teams that share our commitment to measurable progress, honest limitations and human agency.