Artificial Intelligence & Smart Systems
Developing AI architectures and intelligent systems that learn, adapt, and solve complex real-world problems.
Schlierix is a research and development company that turns hidden data and complex problems into meaningful insight. We combine artificial intelligence, scientific research, and creative problem-solving to improve learning, wellbeing, and sustainability.
Schlierix is a research and development company focused on creating innovative artificial intelligence solutions that improve education, environmental sustainability, and healthcare systems.
Our multidisciplinary team combines scientific research, AI technologies, and creative problem-solving to develop intelligent platforms, applications, and data-driven solutions that simplify lives and address real-world challenges.
To make the invisible visible through AI, innovation, and scientific research.
To develop impactful technologies and research-driven solutions that empower people and create a smarter future.
We work where technology meets human needs, turning data and research into tools people actually use.
Developing AI architectures and intelligent systems that learn, adapt, and solve complex real-world problems.
Personalized, AI-driven learning platforms that adapt to each student's learning style and intelligences.
Using AI and data science to monitor, predict, and address environmental challenges for a more sustainable planet.
Applying analytics and machine learning to health data to improve patient outcomes and system efficiency.
Rigorous scientific research, prototyping, and development of next-generation technologies.
Turning raw data into actionable intelligence with predictive models and AI-powered decision support.
MIRA reveals how children learn inside the classroom. BDA measures each child's abilities, needs, and achievement. Together they give educators a complete picture, before problems appear.
MIRA is a Student Well-Being and Holistic Development System that connects students' learning activities, participation, interests and giftedness, achievements, well-being, and developmental indicators to build a holistic picture of each learner and track their growth over time.
Captures teacher and student activity in class.
Maps activity to the multiple intelligences.
Gives educators insight before assessment.
MIRA builds each child's intelligence profile from everyday classroom activity, so teachers can see strengths as they emerge. Sample data shown.
United States Patent Publication No. US 2026/0148651 A1 (application 18/956,560)
Patent Cooperation Treaty publication WO 2026/112468 A1 (PCT/US2025/056629), supporting global scalability
Selected among the Top 10 Innovative Projects for educational impact
Invited to participate, expanding regional influence
Winner of a fully funded soft-landing opportunity.

A standardized diagnostic battery built and normed for Arab learners. BDA helps teachers and counsellors identify each child's strengths, needs, and potential, from giftedness and high achievement to learning delays, for children aged 4 to 14.
Most assessment tools used in the region were designed and normed for Western populations. BDA follows a developmental approach: it looks not only at what a child has learned, but at how they learn and why they may struggle. Schlierix is bringing BDA onto a digital platform, with AI that supports the examiner at every step.
Readiness and general abilities, alongside sensory and perceptual skills.
Indicators of psychological wellbeing for all children, based on a hierarchy of developmental needs.
Core academic skills measured against age-appropriate expectations.
Teachers nominate students using a structured indicator checklist.
A dual-screen setup guides examiner and child, in person or remotely.
AI scores results quickly and highlights strengths and needs.
An individual education plan and enrichment programme are drafted.
Progress is tracked over time, with alerts when something changes.
Results are analyzed in moments, with the factors behind success or difficulty identified.
Learning activities are matched to each student's profile and needs.
Students receive clear, immediate feedback on their answers.
Teachers are notified when a student's performance changes noticeably.
An assistant answers routine questions, reducing the teacher's workload.
Patterns across classes inform recommendations to strengthen teaching practice.
A multidisciplinary team bringing together expertise in AI, neuroscience, computer science, and environmental science.
Leads Schlierix's strategy and vision, guiding how our research becomes products that schools and institutions can rely on.
Whether you're a school interested in MIRA or BDA, or would simply like to learn more, we'd love to hear from you.
Send us a message and we'll get back to you shortly.