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NovaRqis

AI for education

We design and build AI-powered learning products for schools, universities, training providers and EdTech companies — personalised, accessible at scale, and designed so educators stay in control.

Discuss an EdTech projectSee how we work

Adaptive learning

The problem
One pace and one path through the material leaves some learners bored and others behind.
Our approach
Models that estimate what each learner has mastered and recommend the next activity, with teachers able to see and adjust the reasoning.
The value
Practice that meets learners where they are, without hiding decisions from teachers.
  • Mastery tracking
  • Personalised practice paths
  • Spaced revision scheduling

AI tutoring and study assistants

The problem
Learners need help outside class hours, but general chatbots give confident answers that may be wrong or simply hand over solutions.
Our approach
Assistants grounded in approved course material that guide with hints and questions, cite their sources and follow rules set by the educator.
The value
On-demand support that encourages thinking rather than shortcuts.
  • Course-grounded Q&A
  • Socratic hinting
  • Educator-set guardrails

Learning analytics

The problem
Platforms collect large amounts of activity data that rarely turns into useful action.
Our approach
Dashboards and models built around the questions teachers and leaders actually ask, using data the institution is permitted to use.
The value
A clear view of engagement and progress across courses and cohorts.
  • Engagement and progress dashboards
  • Course effectiveness analysis
  • Cohort comparisons

Learner success and early support

The problem
Learners who are struggling are often noticed only after they have failed or dropped out.
Our approach
Early-indicator models that flag learners who may need support, explain why, and route them to a person — never to an automated penalty.
The value
Earlier, more personal support for the learners who need it.
  • Early-warning indicators
  • Advisor outreach queues
  • Explainable risk factors

Assessment and feedback

The problem
Marking and written feedback take a large share of teaching time.
Our approach
Tools that draft rubric-based feedback and group similar answers for review, with the educator approving every final grade.
The value
Faster, more consistent feedback while teachers keep the final say.
  • Rubric-aligned feedback drafts
  • Answer clustering for marking
  • Question-bank generation

Content and curriculum tools

The problem
Creating and updating learning material across levels, formats and languages is slow.
Our approach
Generative tools that help educators draft, adapt and translate material, with review steps and alignment to curriculum outcomes.
The value
More time for teaching, less for formatting and rewriting.
  • Lesson and quiz drafting
  • Reading-level adaptation
  • Curriculum outcome mapping

Mobile learning platforms

The problem
Many learners study mainly on phones, often with limited data or patchy connections.
Our approach
Lightweight web and mobile apps designed for small screens, offline use and scale, with AI features layered in where they help.
The value
Learning that reaches people on the devices they already have.
  • Offline-capable apps
  • Video and quiz delivery
  • Progress sync across devices

Workforce upskilling

The problem
Organisations struggle to match training to the skills their people actually need.
Our approach
Skills mapping and recommendation tools that connect roles, competencies and learning content inside existing systems.
The value
Targeted training that closes real skill gaps.
  • Skills-gap analysis
  • Personalised learning plans
  • LMS integration

How we approach AI in learning

Learner privacy first

Learner data, especially children’s, is collected only where needed, protected carefully and never used for advertising.

Teachers stay in charge

AI suggests and drafts; educators decide. Grades, interventions and important judgements remain human.

Fair for every learner

We check how systems perform across groups of learners so that recommendations do not widen existing gaps.

Learning, not shortcuts

Assistants are designed to build understanding — guiding with hints and questions rather than handing over answers.

Experience in EdTech

Verified details of the team’s experience building and running learning platforms will appear here.

[CONTENT REQUIRED]EdTech track record: platforms, scale, role — only what you can verify publicly

Building a learning product?

Tell us who your learners are and what you want them to achieve. We will suggest where AI can genuinely help.

Talk to our teamcontact@novarqis.com