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Naihub

Unai for universities and business schools

A tutor for every student. More time to teach.

Unai brings teaching staff closer to every student and helps spot early who is falling behind. Lecturers leave repetitive tasks behind and see, with evidence, which competencies each student is developing.

What lecturers see
Real recording · no sound
  1. Diagnostic
  2. Training
  3. Practice
  4. Research
  5. Create resource
  • AI tutor
  • Initial diagnostic
  • Practice with avatars
  • Rubric-based assessment
  • Evidence by competency
  • Teaching dashboard

What changes in the classroom

Closer to every student. More time to teach.

Unai turns your course content into experiences where students apply what they learn, practise with AI and build evidence of their competencies.

Close to every student

Every student talks to Unai, a tutor that answers from your programme’s content and suggests their next step.

+ See how it works

Less drop-out, spotted in time

The dashboard shows who is not logging in and in which competency each student is falling behind, so you can reach them in time.

+ See the dashboard

Lecturers teach. Unai marks and supports.

Unai assesses every practice session against the programme’s rubric and keeps the evidence in order. Lecturers spend their time on teaching.

+ See the evidence

Competencies and continuous assessment

Every competency, with its evidence. Not just a final grade.

Students start with a diagnostic for each competency. After that, every practice session adds a rubric-based assessment with its reasoning, criterion by criterion.

  • An initial diagnostic for each competency, marked on the server, with the answer options in a different order for every student.
  • Practice with avatars and branching cases, assessed against explicit criteria with a specific recommendation.
  • A competency record for every student: each piece of evidence keeps its date, its source and, where there is one, the student’s own words that back it up.
Real competency record of a test student in Unai: initial diagnostic, continuous assessment and evidence with quotes

Competency record · real screenshot

What lecturers see

The whole group on one screen. Every student in detail.

  1. Starting levelEach student’s diagnostic, competency by competency, before they begin.
  2. ProgressEach student’s activity, study and practice time, and progress, week by week.
  3. Rubric-based competenciesA heat map of the group and an assessment of every practice session against explicit criteria.
  4. Who needs supportWho is not logging in and which competencies to reinforce with each student, in time to act.

Measuring competencies shows applied learning. The effect on grades or academic results is checked against your institution’s own data.

Real Unai teaching dashboard with test students: active students, average initial diagnostic, competencies to reinforce and a heat map by competency and student

Teaching dashboard and a practice report · real screenshots

How it works

Your programme, in three steps.

  1. 01

    We set it up with your programme

    We work with your content, competencies and assessment criteria. Every student starts with a diagnostic of their level.

  2. 02

    Students practise and ask

    Each student studies their unit, practises cases with AI and asks Unai whenever they need to.

  3. 03

    Lecturers review the evidence

    They see each student’s level in every competency and decide whom to support and what to reinforce.

    Real teaching dashboard on a phone, with test students

We turn knowledge into AI-powered performance.

Which competencies do your students need to practise?

In a 20-minute demo we walk you through it: content, practice and evidence. Tell us what your institution needs and we will agree the next step.

20-minute demo

We walk you through it: content, practice and evidence. Tell us what your institution needs and we will agree the next step.

Please do not include passwords, student data or confidential information.