How Olamis works: an illustrative, five-step overview showing how the program meets a child where they are, teaches rather than hands over answers, keeps a person in charge, protects the child’s privacy, and can explain itself in plain English.
A high-level look at what happens when your child learns.
It meets your child where they are
Olamis notices how your child is doing and reshapes the lesson to fit — not too easy, not too hard.
It teaches — it never just gives the answer
Kids move forward when they’ve truly got it — guided by a nudge, not handed the answer.
A real person is always in charge
The program suggests. A teacher — or you — decides. Nothing important happens on its own.
Your child stays private
Olamis never stores a real name, and can run entirely inside your school or home.
It can always explain itself
Ask “why?” about anything, and get a clear answer in plain English.
An illustrative overview of how Olamis is designed to work. Today it runs on practice data while our first families get ready to try it — with full permission.
How it works - and how you can check it.
A learning program that bends to your kid, not the other way around. Here's what's under the hood - in plain English, because you shouldn't have to take our word for anything.
What it does
- Se adapta al nivel de tu hijo - it notices how a child learns best and reshapes the lesson to fit (what we call cognitive profiling).
- Enseña, nunca se limita a responder - kids move forward when they've truly got it, not when the clock runs out.
- Mantiene a alguien a cargo - coordinated AI agents suggest; a human decides (multi-agent orchestration, with human-in-the-loop by design).
- Protege la privacidad de tu hijo - never stores a real name; can run entirely inside your home or school.
- Siempre se puede explicar - every action is checkable and returns a plain-English reason.
The four promises, and how they're built
- Primero, el permiso - consent gates data use; parental/guardian authorization required before anything happens with a child's information.
- Una persona decide - a human-in-the-loop control layer; recommendations never auto-execute high-stakes actions.
- Sin calificaciones de máquina - no automated scoring or labeling module; assessment feedback is routed to a human.
- Sin secretos - explainability plus an audit trail; every decision is logged and expressible in plain language.
The science inside
Olamis is built on decades of research into how people actually learn, supporting five co-cognitive pillars - Critical Thinking, Creative Problem Solving, Moral/Ethical Decision Making, Emotional Intelligence, and Personal Health & Wellness - so a child grows as a whole person, not just a test score.
Designed to meet
FERPA, COPPA, ISO 27001 information-security practices, and WCAG 2.1 AA accessibility. These are design targets we build and test against, not yet third-party certifications.