A painter’s training,
applied to software
The founder started as a portrait painter—learning the discipline of observation: proportions, micro-expressions, the subtle changes in tone that make someone feel unmistakably themselves.
A portrait isn’t a photo—it’s a crafted representation. Mentorly applies that same craft to building real-time AI avatars: not just accurate, but believable.
Learning to capture what people can’t describe
Portrait painting trains a particular skill: translating personality into form. That meant studying how people speak, pause, smile, and emphasize—details that later became foundational for AI mannerism replication.
From canvas to code: the digital portrait
The leap into software began with a simple question: what would a portrait look like in motion? Not an illustration, but a living, interactive presence—able to speak with your voice and carry your expertise into every conversation.
Building Mentorly: mentorship at human fidelity
Mentorly’s avatars are trained not only on what you know, but how you teach: your phrasing, your cadence, and your decision-making patterns. The goal is simple—learners feel like they’re in a real 1-on-1 video call with you.
A portrait-grade likeness—built to read as you on camera, not as a generic avatar.
Voice, tone, and timing—so the conversation feels natural and unmistakably “you.”
Deep knowledge training to mentor learners with your frameworks—not canned scripts.