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SELF-EVOLVING AGENTS · HUMAN–AI INTERACTION

Intelligence, evolving with humanity.

Moments AI is a US-based AI company building self-evolving agents that learn through human–AI interaction. World models, multimodal context and continuous assessment guide our research.

Research shapes our products. Human interaction and feedback shape our next research questions.

United States · Building globally

CramAI Your AI career coach
LIVING WORLD MODEL01—05 / CONNECTED
A loop shaped by human–AI interactionHuman goals and feedback connect to five research stages: perceive, model, act, assess and evolve.Human ↔ AgentA SHARED LEARNING LOOPPERCEIVEMODELACTASSESSEVOLVE
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.
HUMAN GOALS & FEEDBACKAGENT ACTION & ADAPTATION
  • OMNIMODAL PERCEPTION
  • WORLD MODELS
  • CONTINUOUS ASSESSMENT
  • GOVERNED EVOLUTION
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OUR BELIEF

AI should amplify human potential—not replace it.

The most valuable intelligence will not remove people from the world. It will help them learn faster, make better decisions, build new capabilities, and create more value with greater agency.

We share that belief. Our work is built around human agency, measurable growth, and intelligence that evolves with—not away from—people.

THE MOMENTS LOOP

From interaction to improvement.

Human goals and feedback guide the loop. Our research connects perception, world models, action and assessment to improve what an agent does next.

HUMAN INPUT. AGENT ACTION. SHARED PROGRESS.

01 / 05

Understand the person

Start with a person's goals, context and feedback.

FRONTIER RESEARCH

Toward governed recursive self-improvement.

RSI is not a product claim. It is a long-term research direction: systems that can improve parts of their own reasoning, tools and learning loops—while every change remains observable, testable and reversible.

  • Verifiable objectives
  • Sandboxed evolution
  • Continuous evaluation
  • Human oversight and rollback
Read our research agenda
  1. L0

    Static systems

    Fixed prompts, tools and workflows.

  2. L1

    Adaptive agents

    Memory and behavior adapt from feedback.

  3. L2

    Self-optimizing systems

    Agents improve strategies, tools and orchestration within a defined objective.

  4. L3

    Governed RSI

    Recursive improvement under verifiable objectives, sandboxed execution and continuous oversight.

FROM LAB TO WORLD

Research becomes real when it changes what people can do.

CramAI brings our human–agent research into career growth. Focused partnerships extend the questions we can explore.

FLAGSHIP PRODUCT · CAREER COACH AGENT

CramAIYour AI career coach for the AI era.

CramAI is a career coach agent designed to help you find direction, build relevant skills and take your next step as work changes.

THE COACHING APPROACH

ILLUSTRATIVE JOURNEY · YOU SET THE DIRECTION
01Learn

What would you like to do next?

Connect your career goal to the skills and knowledge your next step needs.

02Practice

What could you put into practice today?

Build skills through work that matters to your next move.

03Assess

What does your work show you?

Review what your work demonstrates and where you need more practice.

04Improve

What will you try differently next time?

Use feedback to refine your plan and choose the next useful step.

02

PARTNER PROGRAM

AI Assessment Infrastructure

Explore how work samples, capability models and continuous assessment could support better development decisions.

03

COLLABORATION

Research Partnerships

An invitation to explore shared research questions, evaluation methods and focused pilots for human–AI collaboration.

LONG-TERM VISION

The intelligence layer for human capability.

We are building infrastructure that connects what people learn, what they can demonstrably do, how they keep growing, and where those capabilities create value.

  1. 01Learning & Work Evidence
  2. 02Capability Graph
  3. 03Personalized Growth
  4. 04Trusted Certification
  5. 05Opportunity & Value Matching

LONG-TERM DIRECTIONThis chain expresses an infrastructure goal, not a claim that an opportunity-matching platform is currently available.

HOW WE WORK

A lab that ships. A company that learns.

We do not separate research from products. Products are real-world experimental environments. Market feedback becomes research signal. Research breakthroughs return as better products.

A CONTINUOUS OPERATING LOOP

  1. 01Research
  2. 02Prototype
  3. 03Product
  4. 04Evidence
  5. 05Research

Every cycle should leave behind stronger evidence, not just a louder claim.

  1. 01

    Human agency first

    Build AI that strengthens people’s ability to choose and act.

  2. 02

    Truth over theater

    Evidence before claims; clarity before hype.

  3. 03

    Measure before scale

    Capability without evaluation is not intelligence we can trust.

  4. 04

    Evolve with guardrails

    Improvement must be observable, testable and governable.

Startup programs

Moments AI is a member of these startup programs.

  • AWS Activate
  • Google for Startups Cloud Program
  • NVIDIA Inception

Program names and logos belong to their respective owners. Membership does not mean Amazon Web Services, Google or NVIDIA endorses Moments AI’s products, services or research.

Amazon Web Services, AWS, AWS Activate and related logos are trademarks of Amazon.com, Inc. or its affiliates. Google, Google for Startups and related logos are trademarks of Google LLC. NVIDIA, the NVIDIA logo, and NVIDIA Inception are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries.

RESEARCH & INSIGHTS

Latest from Moments Research

View insights

MOMENTS RESEARCH · PUBLIC OUTPUTS

Public research & outputs

Explore public records by format, alongside our research agenda and evaluation principles.

Explore research outputs

WORK WITH MOMENTS AI

Build the next interface between people and intelligence.

We welcome collaboration with researchers, institutions and teams working on human–AI interaction.