Evidence-based development
We base ourselves on current findings from autism and ADHD research – such as Theory of Mind, executive functions, and emotion-focused interventions – and systematically transfer them into digital learning formats.
Deep Spectrum Lab develops AI-powered learning tools that help children with autism and ADHD understand social situations, recognize emotions, and practice self-regulation in everyday life.
Deep Spectrum Lab develops digital interventions for autism and ADHD. Many children with autism or ADHD lack access to evidence-based training for social cognition, emotion recognition, and self-regulation. Our platform combines therapeutic approaches with software development and machine learning. This closes the gap through adaptive, low-threshold learning sequences that provide concrete help in everyday life.
We base ourselves on current findings from autism and ADHD research – such as Theory of Mind, executive functions, and emotion-focused interventions – and systematically transfer them into digital learning formats.
Many team members are neurodivergent themselves. Personal experiences with autism and ADHD flow directly into conception, prototyping, and user testing, helping us develop practical solutions.
We develop our own models for adaptive training algorithms and personalized learning paths. This allows content to be tailored to the pace, needs, and strategies of individual children.
In Deep Spectrum Lab, psychology, software engineering, and artificial intelligence work closely together. This creates learning environments that are scientifically sound, technologically robust, and truly usable in family everyday life.
Conception of interventions for social cognition, Theory of Mind, emotion recognition, and self-regulation in autism and ADHD – with a focus on practical application.
Development of a stable, barrier-free platform with clear interaction design, so exercises are intuitive, reliable, and well usable in the home environment.
Use of machine learning, data-driven models and a learning robot to make progress visible and adaptively adjust training to each child.
Deep Spectrum is an evidence-based learning platform for children with autism and ADHD. It trains core areas of social cognition and self-regulation through adaptive, child-friendly modules in structured form.
Interactive stories show typical daily situations – schoolyard, doctor's visit, shopping. Children try out reactions, get direct feedback and learn social sequences risk-free.
Step-by-step training to understand others' thoughts and feelings – central for autism. From simple desire/belief differences to complex perspective-taking, individually adapted.
Recognition of emotions in faces, voices, situations. Children learn appropriate reactions and calming strategies – especially important for ADHD frustration management in daily life.
Gamified exercises for attention, impulse control and planning – core areas for ADHD. Short, repeatable units build routines without overwhelming.
A virtual robot accompanies the children: clear explanations, joint practice, small games, relaxation exercises. It makes training more structured and predictable.
Our own AI algorithms individually adapt the training: difficulty, repetitions and pace are automatically matched to each child's learning behavior – without pressure.
Everything important about Deep Spectrum Lab and our learning platform.
We're seeking collaborations with neurodivergent developers, companies for hackathons, psychologists, and partners for practical deployment of our application.