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EdTech

Learning products built for the people who actually use them

An AI tutoring platform trusted by students from 50+ medical schools and a WCAG-compliant social platform for 10,000+ students: we build EdTech that holds up under real classrooms, with accessibility, content workflows and AI assistance included.

  • 130+People, remote across Poland
  • 6 wksTo a working product, factory model
  • 5.0Clutch rating from clients

This is for you if you build for learners, teachers and institutions

  • AI tutoring and assessment

    Retrieval over your curriculum, adaptive practice, explanations with sources — evaluated, not improvised.

  • Accessibility is a requirement

    Accessibility requirements defined for your platform and checked during delivery, drawing on our WSB Merito work.

  • Terms and exams create traffic spikes

    Plan capacity around term dates and test the busiest workflows before students arrive.

  • Institutions buy slowly and keep long

    Define data ownership and access roles, with documentation for the institution’s review.

Engineering for EdTech. From course content to student access

How we work in EdTech

  • AI that explains, with sources

    RAG over your content with citations, evaluation sets built with educators, guardrails for younger users.

  • Accessible by default

    Keyboard navigation, screen-reader semantics, contrast and captions — tested, not assumed.

  • Content and community platforms

    Authoring workflows, moderation, multilingual delivery and integrations with LMS and SIS systems.

Where EdTech products fail their users

Three places we look first.

  • The accessibility debt

    Images with text, missing alt, unlabeled controls — fixable early, expensive after launch, and often a legal requirement.

  • The AI that confidently misleads

    Tutoring without retrieval and evaluation produces fluent wrong answers. We measure accuracy against your materials before students see it.

  • The exam-week outage

    Plan for exam-week peaks and test the busiest workflows before the term starts.

AI tutoring for future doctors

Elite Medical Prep wanted AI tutoring that medical students could trust.

Elite Medical Prep serves students from 50+ medical schools, including Yale, NYU and Mt. Sinai. We worked on its AI tutoring product for medical education.

Spacecraft illustration with Claude Code, Lovable, Codex and Cursor logos

The case study describes the deployed tutoring product and a 5.0 Clutch review. The founder’s feedback focuses on the team’s technical judgment and communication.

You’re not getting a classic developer who simply does and then you have to fix the thinking yourself. If I had another AI idea and wanted to pursue it, I would just use Pirxey. It wouldn’t be a question.
Marcel Brus-RamerFounder, President Elite Medical Prep

What you get. Six ways we build EdTech

AI tutoring & assessment

Adaptive practice and explanations with sources, evaluated with educators.

Accessibility (WCAG)

Compliance designed in and tested, with reports for procurement.

Learning & community platforms

Authoring, moderation, multilingual delivery, LMS and SIS integrations.

Mobile learning apps

React Native apps that work offline and on cheap devices.

Scalable infrastructure

Capacity planning and load testing for term-time peaks.

Platform audit

Accessibility, performance and AI quality reviewed with a ranked fix list.

How we work

Built with educators, measured with students

We set deadlines once the design is final, counted in working days, not as dates promised in a sales call. You hear about a problem from us, with options, while there is still time to choose.

What stayed with me was the communication. Fast, clear, and always with something concrete: a proposal, an update, a solution. We never had to wonder what was happening.
Katarzyna MoszczyńskaHead of Science Department, WSB Merito
  1. Scoping call

    What you want to achieve, by when, with what budget. We say on the call whether we are the right team, and what the smallest useful first step is.

  2. Workshop & plan

    A short workshop with your stakeholders: outcome, hard and soft deadlines, integrations, risks. You get a written scope, a price range and the split between what AI accelerates and what needs a senior engineer.

  3. Build in increments

    We build in deployable increments with code review and automated tests. You get a status daily at first, then weekly once trust is there. Scope lives in Linear; conversations happen in Slack.

  4. Launch & grow

    Monitoring, documentation and runbooks handed over, or a squad that stays. Either way the product can be operated without us.

Proof, not promises

Featured
EdTech · AI
Elite Medical Prep · USA

AI-powered medical tutoring for Elite Medical Prep

EdTech · Platform
WSB Merito · Poland

A WCAG-compliant social platform designed for 10,000+ users

10,000+ users planned
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Signal Mesh · USA

Taking over and rebuilding a crypto intelligence platform

What clients say

Shahar Yahav
"Pirxey gave us the full package - frontend, backend, AI, and data - all under one roof, which meant we never had to coordinate multiple vendors. They thought like product owners, not contractors."
Shahar YahavCo-founder, SignalMesh
Katarzyna Moszczyńska
"What stayed with me was the communication. Fast, clear, and always with something concrete - a proposal, an update, a solution. We never had to wonder what was happening."
Katarzyna MoszczyńskaHead of Science Department, WSB Merito
Piotr Gocał
"Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare."
Piotr GocałProject Manager, Matic SA
Marcel Brus-Ramer
"When you propose something to them, they don't simply say yes - they come back with a pro and con. You're not getting a classic developer who simply does and then you have to fix the thinking yourself. If I had another AI idea and wanted to pursue it, I would just use Pirxey."
Marcel Brus-RamerFounder, President, Elite Medical Prep
Oliver
"Well… didn't know what to expect but honestly, now I'm learning much from you guys. Had no idea an external tech partner can be so pro and organized."
OliverCTO, client under NDA
Piotr Gocał
"Their ability to quickly deliver high-quality solutions while maintaining transparency in communication is rare."
Piotr GocałProject Manager, Matic SA

The people who build learning products

  • An AI tutor is only as good as its evaluation set. We build that set with the educators before we build the model pipeline.

    Piotr

    AI research and adoption

  • An AI tutor is only as good as its evaluation set. We build that set with the educators before we build the model pipeline.

    Piotr

    Delivery and squads

  • An AI tutor is only as good as its evaluation set. We build that set with the educators before we build the model pipeline.

    Wojciech

    Interfaces and design systems

  • An AI tutor is only as good as its evaluation set. We build that set with the educators before we build the model pipeline.

    Krzysztof

    Architecture and APIs

Questions EdTech teams ask us

  • Yes. Retrieval over your curriculum with citations is the default; answers without a source are flagged, not shown as fact.
  • We agree the accessibility criteria before delivery and test the interface against them. Our WSB Merito case study describes a WCAG-compliant platform. Your institution’s reporting requirements become part of the scope.
  • Moodle, Canvas, LTI, SIS exports — integrations are scoped in discovery with the owners of each system.
  • Data minimisation, roles, audit trails and residency chosen for your jurisdiction; AI vendors reviewed for what they see and retain.
  • Yes: load tests before the term, autoscaling where it pays, caching where it does not.
  • We built an AI tutoring product for Elite Medical Prep and a WCAG-compliant social platform for WSB Merito. The WSB platform was designed for at least 10,000 registered users.
  • Our AI Software Factory range is $60k–$150k for a scoped first working version, with a target of about six weeks. Learning-platform integrations and content requirements affect the estimate.

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