Public startup profile

Kaelo is a Brazilian EdTech startup building a pedagogical intelligence engine for math learning recovery.

Our MVP identifies learning gaps from student responses, maps them to a proprietary BNCC-aligned micro-skill graph, and generates adaptive recovery cycles and printable activities for families, schools, and public education networks.

Technology page Company in Portuguese

Company snapshot

AXIMEA Tecnologia LTDA, product Kaelo.

This page is the public institutional profile for Google for Startups, cloud partners, investors and institutional programs.

Company

AXIMEA Tecnologia LTDA

Product

Kaelo

What Kaelo is, and what it is not.

Kaelo is an educational technology startup, developed by AXIMEA Tecnologia LTDA, and built as software infrastructure for learning recovery in mathematics.

Kaelo is not a school, online course, pedagogical consulting firm, agency, NGO or educational institution. The company builds proprietary technology to help families, teachers, schools and public networks identify learning gaps and act on the next pedagogical step.

Current validation

Beta infrastructure, family use and institutional validation.

Kaelo is validating the product with a practical focus: the family routine, the teacher workflow and the institutional path for learning recovery at scale.

Family beta in real-world use

The first product experience is being validated with families, focusing on onboarding, activity cycles, response registration and progress visibility.

School validation in progress

Institutional workflows are being calibrated for teachers, pedagogical grouping and recomposition by student, class and skill.

Institutional path

The product roadmap is aligned with public innovation programs and education policy conversations, including Centelha Tocantins and the MEC AI Sandbox path.

Problem

Students often move forward in school while carrying hidden math gaps. Families receive grades, but not a clear map of what the student has actually mastered, what needs recomposition, and what should come next.

Solution

Kaelo transforms student responses into pedagogical evidence. The platform identifies skill gaps, interprets likely causes of errors, creates recovery cycles, and shows progress in clear language for families and teachers.

Technology

Cloud-native, structured around a proprietary pedagogical engine.

Kaelo is cloud-native and built around a proprietary skill graph, deterministic pedagogical decision rules, assistive content generation, PDF/activity rendering, secure data storage and longitudinal learning records.

Proprietary skill graph

A BNCC-aligned map of math micro-skills, prerequisites and pedagogical metadata.

Deterministic decision rules

Critical pedagogical decisions are explicit, auditable and supervised.

Activity generation

Recovery cycles are translated into printable and paper-first learning materials.

Longitudinal records

The platform keeps a learning history by student, skill, cycle and evidence.

Responsible AI

Generative AI is used only as an assistive layer for pedagogical content generation and preliminary pattern reading. Critical pedagogical decisions are deterministic, auditable and human-supervised. Student data is not used to train AI models.

Why Google Cloud

Google Cloud credits will support the scaling of our beta infrastructure, including Firebase/Firestore, authentication, cloud storage, serverless processing, diagnostic workflows, generated learning materials, dashboards and monitoring. The credits reduce infrastructure risk while we validate product-market fit with families and institutional pilots.

Authentication

Firestore data storage

Cloud storage

Diagnostic workflows

Generated materials

Dashboards and monitoring

One product, three markets.

Families

Schools

Public networks