Decision-support tools for movement and rehabilitation
Products informed by prior work with wearable sensors, movement analysis, prehabilitation, and clinician-facing rehabilitation data.
UK research and product development
Research-led products for real-world decisions.
Pryu is building a portfolio of high-quality software products across AI, health, education, data, and human-centred digital systems.
8M+
users reached through prior software leadership
AI + HCI
academic depth translated into usable products
Health
digital health, rehabilitation, and biomedical research experience
What we are building
Pryu is an R&D-focused product company developing software where scientific evidence, careful design, and modern AI need to meet.
Our work is shaped for sectors where trust matters: healthcare, wellbeing, education, environmental intelligence, and public-benefit digital services.
Research standard
Products are grounded in human-computer interaction, machine learning, biomedical research, and evaluation practice.
Product discipline
We design for practical adoption, clean interfaces, measurable outcomes, and maintainable technical foundations.
Grant fit
The team has experience across funded R&D, knowledge transfer, clinical technology research, and public-impact software.
Product pipeline
Software products in development.
We are focusing the company around product lines that can become fundable, testable, and commercially credible rather than one-off consultancy outputs.
AI-supported education and knowledge systems
Learning products that combine responsible AI, interaction design, and structured knowledge experiences for specialist and public audiences.
Scientific workflow and insight platforms
Tools for researchers and organisations who need data capture, analysis, visualisation, evidence tracking, and usable reporting.
Public-good digital products
Digital services for wellbeing, environmental awareness, and community benefit, developed with practical adoption and long-term maintenance in mind.
Capability stack
Deep technical skill, paired with domain judgement.
The team combines product engineering with academic research methods, biomedical expertise, and experience taking ideas from evidence to deployed software.
AI and data science
Machine learning, data analysis, intelligent systems, sensor data, statistical thinking, and responsible AI product framing.
Python
ML
Data analysis
Signal processing
Human-centred product design
User research, interaction design, prototyping, usability evaluation, and product experiences built for real adoption.
HCI
UX strategy
Evaluation
Service design
Biomedical and life sciences
Immunology, pharmacology, genomics, scientific writing, lab research experience, and biological systems understanding.
Immunology
Genomics
Pharmacology
Research methods
Software engineering
Web, mobile, cloud, database, analytics, and production software practices for maintainable product foundations.
Web apps
Mobile
Cloud
Git
R&D translation
Experience across knowledge transfer, consultancy, funded research, academic publication, and startup collaboration.
Grant bids
KT
Research impact
Partnerships
Public impact delivery
Leadership experience with public-benefit software, distributed teams, large user communities, and sustained digital operations.
8M+ users
150 countries
Team leadership
Operations
Evidence and track record
Built on more than ambition.
The website should signal product quality, but also the stronger point for grant assessors: the founders have already worked across research, validation, software delivery, and impact.
Computer science, AI, and software engineering teaching
Dr Riasat Islam is a Lecturer in Computer Science at Queen Mary University of London, teaching areas including artificial intelligence, cloud computing, and software engineering.
Published digital health validation
Published usability and validation work around the Slider prehabilitation device for total knee replacement surgery and related wearable-sensor rehabilitation systems.
Biomedical research strength
Dr Priota Islam brings research experience in immunology, pharmacology, genomics, neutrophil biology, and translational biomedical science through Cambridge and Babraham-linked work.
R&D consultancy and knowledge transfer
Experience includes IoT-based home rehabilitation data capture, machine-learning modelling of knee joint angle from inertial sensors, and knowledge transfer with a medical-device startup.
Software leadership at public scale
Founder experience includes Greentech Apps Foundation, a public-benefit software organisation with 8M+ active users across 150 countries.
Team
Founder-led by research and product specialists.
Pryu's core strength is the combination of AI and HCI product leadership with biomedical research expertise. That gives the company a credible base for health, education, and evidence-driven software products.
Dr Riasat Islam
AI, HCI, software engineering, digital health
Riasat is a Lecturer in Computer Science at Queen Mary University of London with a PhD in Computing focused on wearable technologies for rehabilitation. His work spans AI, human-computer interaction, software engineering, cloud systems, clinical movement analysis, and product translation.
Dr Priota Islam
Biomedical science, immunology, genomics, research strategy
Priota brings life-science depth across immunology, pharmacology, genomics, and biomedical research. Her public research profiles describe work across neutrophil biology, signalling, epigenetics, effector T-cell biology, and disease-relevant biological mechanisms.
For grant partners and funders
A credible base for fundable product R&D.
Pryu is positioned for projects that need more than software delivery: evidence, domain understanding, user-centred design, responsible AI, and a route from prototype to adoption.
- Research-backed problem framing and evaluation plans
- Technical leadership across AI, data, cloud, web, and mobile
- Biomedical domain expertise for health-related products
- Experience with knowledge transfer and public-impact delivery
Contact
Talk to Pryu about product R&D, funding, or partnerships.
Use the form for grant discussions, collaboration opportunities, technical product work, or early conversations about the products Pryu is developing.
Grant-funded R&D and feasibility projects
AI, health, education, and data product development
Research translation and product strategy