About unignosis

Training the next generation of multi-disciplinary professionals.

unignosis is an academic lab platform spun out of the Portsmouth Artificial Intelligence and Data Science Centre (PAIDS) at the University of Portsmouth. We give universities hands-on, browser-based labs in cybersecurity, AI, drones, Arduino, electrical engineering, programming and more — in one place, mapped to UK QAA outcomes.

What is unignosis?

A multi-domain lab platform built for universities — not for individuals.

unignosis is a cutting-edge teaching and assessment platform designed to give university students hands-on experience inside safe, isolated environments — at scale, across disciplines. It offers realistic scenarios where learners practise penetration testing, machine-learning experimentation, embedded systems development, drone simulation, circuit design, and more — all from a browser.

Built on modern containerisation and isolated network design, unignosis spins up a private environment for every student. No cross-contamination. No local installation. No VMs. Just an institutional URL and a browser tab. Whether the cohort is twenty undergraduates or two thousand, the experience scales — and the IT team's burden does not.

100%

Browser-based access — no installs, no VMs.

24/7

Always-on platform availability.

Per-student

Isolated environments. No cross-contamination.

Real-world

Genuine tools and scenarios, not toy exercises.

Capabilities

Everything a university needs in one platform.

The features that make unignosis production-grade for accredited delivery, not just a demo.

Isolated team networks

Each cohort and each student gets a private, isolated environment — fair, secure, contained.

Browser-based Kali Linux

A full Kali workspace inside the browser — every tool, no local installation, no compatibility headaches.

Vulnerable applications

Practise on real-world vulnerable apps — Juice Shop, DVWA, custom institutional challenges.

Live scoreboard & analytics

Real-time competition tracking, lecturer dashboards, cohort-wide progress visualisation.

Flag & assignment submission

Capture flags or submit coursework through a single streamlined interface — auto-marked where possible.

Team collaboration

Shared workspaces with built-in chat, code sharing and synchronised lab state for group projects.

Getting started

How it works.

From institutional onboarding to a student's first running lab — in minutes.

01

Register & join

Students join via institutional invite code or SSO and are placed into their course cohort automatically.

02

Launch a lab

One click spins up a browser-based environment, pre-loaded for the discipline — Kali, Jupyter, Arduino IDE, ROS, SPICE.

03

Explore & build

Students complete challenges, build projects, run experiments — in a real, isolated environment.

04

Compete & learn

Submit work for points or grades, climb the live scoreboard, sharpen real-world skills under real assessment.

University of Portsmouth

A spin-out of the Portsmouth AI & Data Science Centre.

unignosis was developed at the University of Portsmouth — one of the UK's leading institutions for cybersecurity research and education — as part of a wider commitment to preparing the next generation of professionals through innovative teaching, hands-on practice and cutting-edge research.

The platform is built and maintained by the Portsmouth Artificial Intelligence and Data Science Centre (PAIDS), within the School of Computing.

"Research-led, academically rigorous, industry-relevant — built for the way universities actually teach."

Research-led

Built on cutting-edge research in security and AI.

Academic excellence

Designed for accredited HE delivery from day one.

Industry standards

Aligned with real-world tools and practices.

UK-based

Located in Portsmouth, United Kingdom.

Project Team

Security experts and educators from Portsmouth.

The supervisors, researchers and developers behind unignosis.

Prof. Stavros Shiaeles

Supervisor

Professor at the University of Portsmouth, School of Computing. Research areas: cybersecurity and artificial intelligence.

Dr. Katerina Kanta

Supervisor

Lecturer at the University of Portsmouth, School of Computing. Research areas: cybersecurity and artificial intelligence.

Shariar Kabir

Researcher & Platform Lead

Researcher and lead platform developer. Research areas: artificial intelligence and applied learning systems.

Danial Miah

Researcher & Developer

Researcher and developer. Research areas: artificial intelligence and penetration testing.

Ready to start your journey?

Join unignosis and give your students hands-on labs for any discipline.