MYLS AIMYLSPartnerships
Practice for the moments that matter.
AI-powered video practice, assessment and personalized feedback for interviews, presentations, communication and real-world performance.
Built for universities, schools and education organizations.
Trusted by learners and partners worldwide
Learning needs practice, not just content
Students don’t struggle because information is unavailable. They struggle to turn knowledge into performance.
What learners have
- Lectures
- Examples
- AI-generated answers
But when they need to…
- Interview for a job
- Deliver a presentation
- Explain an idea
- Answer unexpected questions
- Communicate under pressure
…they need something different
- Practice
- Feedback
- Reflection
- Repeat
Practice. Feedback. Reflection. Repeat.
AI isn’t the goal
AI isn’t the objective. Better learning outcomes are.
AI makes personalized practice:
Accessible
Available to every learner, any time.
Repeatable
Practice the same moment until it lands.
Measurable
See progress from one attempt to the next.
Consistent
The same criteria for every learner.
MYLS gives every learner a space to practice real-world scenarios, receive immediate feedback, understand where they can improve, and practice again.
“Great performance shouldn’t depend on who can afford a personal coach.”
Traditional 1:1 coachingHard to provide consistently
With MYLSEvery learner
MYLS makes high-quality practice available at scale.
Who we collaborate with
One platform. Different ways to collaborate.
Better career preparation. At scale.
Universities & Colleges
Improve student career readiness and employment outcomes with scalable interview practice.
Schools & Education Organizations
Extend career preparation beyond the classroom without adding instructor workload.
Career & Training Programs
Deliver consistent, role-specific interview training with measurable learner progress.
Education Platforms
Add AI video practice and feedback to your platform without building from scratch.
Research Institutions
Study AI-supported learning and human–AI interaction with real-world learning applications.
Collaboration models
Choose how MYLS fits into your ecosystem.
Institutional Access
Provide MYLS directly to your students or learners. Good for career centers, universities, bootcamps and tutoring organizations.
Curriculum Integration
Embed MYLS activities into courses. Assignments can include mock interviews, presentations, communication exercises or role-specific simulations.
Customized AI Programs
MYLS works with your organization to create custom practice experiences around its learning objectives.
API / Technology Integration
Bring MYLS AI capabilities into an existing platform.
Research Collaboration
Joint studies, pilots, datasets, evaluation, publications and experimentation around AI-supported learning.
Instructor & Coach Copilot
Help instructors and coaches support more learners without sacrificing personalization. Coaches can:
- Customize practice content — questions, scenarios, rubrics, competencies and learning objectives
- Control the learning experience — decide what learners practice and how they progress
- Combine human + AI feedback — AI gives immediate feedback; coaches review, add to or personalize it
- See learner progress — spot common challenges and where individual learners need help
- Focus human time where it matters most — less repetitive feedback, more higher-value coaching
What learners can practice
One AI learning platform. Multiple practice environments.
Mock Interview
Practice career, university, admissions, behavioral and role-specific interviews.
Learner experience
- 1Pick an interview type
- 2Answer on video
- 3Get instant feedback
- 4Practice again
Feedback
- LanguageAnswer content, structure and relevance
- VoicePace, fluency and pauses
- VisualPresence, eye contact and nonverbal cues
Educator view
- Set question banks, rubrics and competencies
- Review recordings alongside AI feedback
- See cohort readiness and common gaps
Use cases
Multimodal video intelligence
Most AI tools only hear learners. MYLS sees the whole performance.
Our proprietary multimodal algorithm analyzes what learners say, how they say it, and how they show up on video.
Video practice
Learners practice on camera, just like the real moment.
Multimodal AI
Proprietary algorithm- LanguageContent, structure, relevance, clarity
- VoicePace, fluency, pauses, delivery
- VisualPresentation behaviors and nonverbal cues
Personalized feedback
Specific, evidence-based and actionable.
1/3Voice or transcript only: misses presence, eye contact and nonverbal cues.
3/3MYLS video multimodal: language + voice + visual, together.
Instructor-in-the-loop
Human expertise. AI scalability. Continuous practice.
- 1
Instructor / Coach
Instructor designs
- Learning objectives
- Questions & scenarios
- Rubrics & competencies
- Reference content
- Feedback criteria
- 2
MYLS AI
AI delivers personalized practice
- Interview
- Presentation
- Conversation
- Assessment
- Adaptive practice
- 3
Learner
Learner practices
- Practice
- Receive immediate AI feedback
- Reflect
- Practice again
- 4
AI + Instructor
Human + AI feedback
- AI feedback: immediate, consistent, available anytime
- Instructor / coach feedback: contextual, expert, personalized
- 5
Instructor
Instructor sees what matters
Progress & performance dashboard
- Who needs support?
- What are learners struggling with?
- What should we teach next?
- Where is human coaching most valuable?
Much more than an “AI mock interview tool.”
AI-powered. Instructor-controlled. Built around humans, not around replacing them.
Instructor-in-the-loop
Educators stay in control of learning objectives, content, evaluation criteria and feedback.
Customizable by design
Instructors can customize questions, scenarios, competencies, rubrics, resources and learning activities around their own curriculum.
Human + AI feedback
Learners receive immediate AI feedback while instructors and coaches can provide deeper, contextual guidance.
Scale the coach, not replace the coach
AI handles repetitive practice and first-line feedback so educators can spend their time where human expertise has the greatest impact.
Why MYLS
Designed for learning — not just AI interaction.
Practice-first
Students learn by doing, not simply asking AI for answers.
Actionable feedback
Feedback tells learners what happened, why it matters and what to improve next.
Evidence-based insights
Recommendations connect to observable elements of learner performance.
Human-centered AI
AI supports educators and learners rather than replacing human judgment.
Responsible AI & trust
AI for learning should be useful — and trustworthy.
Privacy & security
We explain clearly how learner data is collected, stored and protected.
Transparent AI
Learners understand when and how AI is being used.
Human in the loop
AI provides feedback and insights; educators retain control over consequential decisions.
Responsible assessment
Evaluation is designed around observable evidence and appropriate educational use.
Evidence & research
Built from research. Tested in real learning environments.
MYLS sits at the intersection of artificial intelligence, learning science and human–AI interaction.
Research foundations across leading universities
Carnegie Mellon University
Research in AI-supported learning, personalized feedback, tutoring and learning technologies.
National University of Singapore
Research in human–AI interaction, trustworthy AI, and how people understand, interact with and make decisions with AI systems.
University of Toronto
Foundational work across computer science, statistics, machine learning and education.
Let’s build the next generation of learning experiences together.
Tell us how you’d like to partner, and let’s start the conversation.