AI for education

AI to accelerate teaching and automate grading and school management.

An editorial platform for schools and universities. AI-authored exams, review with per-student calibration — not a generic detector, and automatic grading — all in one place.

The problem01 · 03

Schools haven't changed. AI has.

I

Every teacher grades differently.

On an integration-by-parts exam, some teachers value only the final result; others hand out partial credit for each step. Without shared criteria, each class gets a different grade.

65% of undergrads admit cheating at least once · McCabe / ICAI

II

Only 46% of a teacher's day is actually teaching.

Grading four classes, uploading scores, handling appeals, replacing leaked exam banks. Time in front of students ends up under half the working day.

46% teaching · 54% non-instructional work · EdWeek 2022

III

Students use AI before teachers do.

You no longer know whether a student or a model wrote the answer. Without integrity standards, the evaluation breaks down and the labor market doesn't get what it expects.

88% of students use AI on assessments · HEPI 2025

How it works02 · 03

Three pillars. One flow.

01

Before the first question, AI already understands your exam.

You set topic, level, and difficulty. AI proposes ideas tuned to your subject — economic impact, social shifts, political consequences — and you pick what works. Before writing a single question the exam already has topic, description, and focus. Per-student unique versions from setup.

  • Topic · level · difficulty
  • AI ideas · tuned to your subject
  • Per-student unique versions
design
02

Ten questions in ten seconds.

You choose how many questions and how they split by type: free text, multiple choice, essay, equation, file. AI generates drafts you can edit later — or add your own by hand if you prefer. The balance between speed and control, where you set it.

  • 5 types · text, multiple, essay, equation, file
  • Custom distribution · edit afterwards
  • Manual when you want
automate
03

We don't detect AI. We detect when you don't write like you.

Generic AI detectors fail with anyone who writes differently — ESL students, formal writers, anyone who drafts on paper first. We start the other way: every student leaves a writing signature in calibration (rhythm, accents, corrections, sentence-building). During the exam, ten behavioral categories compare against that profile — not against a generic model. Four rounds of adversarial review stress-tested every signal against the false positives that break this class of product. Teachers get priority + breakdown + the why.

  • Personal calibration · learns your style
  • 10 categories · no single signal decides
  • Breakdown + why · teacher decides
evaluate
Thesis03 · 03

AI already won the race. Education isn't ready.

Language models went from academic curiosity to outperforming humans on several benchmarks in under a decade. Schools haven't had time to catch up.

88%

of students use generative AI for assignments and assessments.

HEPI / Kortext 2025 · n=1,041

65%

of undergrads admit to cheating at least once.

McCabe / ICAI 2024

Today we already grade with context and judgment. Tomorrow, project-based learning.

AI · What it can do

In 7 years

  1. 2020 · GPT-3

    Answers general-knowledge questions with coherence.

  2. 2022 · ChatGPT

    Coherent conversation. Summarizes, translates, writes full essays.

  3. 2023 · GPT-4

    Passes the bar exam and the MCAT. Reasons at a professional level.

  4. 2024 · Claude 3.5 · o1

    Olympiad-level math reasoning. Writes production-grade code.

  5. 2025 · Autonomous agents

    Execute long tasks. Operate the computer. Run deep research without supervision.

  6. 2026 · Agentic era

    Autonomous digital coworkers. Run end-to-end workflows with minimal human oversight.

What's next

Project-based learning, with virtual teachers.

Tomorrow's schools will host integrative projects — a simulator, a machine, a system — where students apply everything at once: software, electronics, mechanical, robotics. Virtual teachers are agents with specific personalities and skills, available any time.

Nothing taught me those concepts better than an integrative project. This module scales that experience.

Disciplines a project touches

  • Software
  • Electronics
  • Electrical
  • Mechanical
  • Integration
  • Robotics

Module in development · 2026

Contact

Book a demo.

Tell us about your institution. We'll reach out within 48 hours.

Who we are

Committed to education in Mexico and Latin America.

We build products at

GoogleAppleAWSMicrosoftThermo Fisher

3 USPTO patents as inventors

USD825583 · 2018GUI for data visualization
2015/0073848UI for deal stages
2022/0139843UI for deal forecast

We're engineers who used to teach. We know from the inside where time gets wasted, and where software can give it back.