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Mind Intelligence builds machine learning systems for autism and mental health, from clinical care to everyday applications. Our models learn individual patterns of behavior and communication, and turn them into precise, personalized support.
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Mental health care has a capacity problem. Demand grows faster than the number of practitioners ever will. We build the systems that close this gap.
Every person on the autism spectrum communicates, learns and responds differently. Generic tools fail them. Our models are built to capture individual patterns and deliver support that fits the person, not the average. Engineered with clinical expertise, validated in real care settings, compliant with European data protection standards.
Models that adapt to individual behavior, communication styles and needs instead of averaging across populations.
Developed with practitioners and researchers to ensure outputs are evidence-based and usable in real care settings.
Sensitive health data is processed under strict GDPR standards, hosted in the EU, with privacy as a design principle.
One technology core, many applications. Models that understand individual behavior carry from clinical assessment to everyday products.
Machine learning models that detect individual needs earlier and more precisely than standardized questionnaires. Months of waiting become days.
Adaptive support that adjusts content, pace and communication style to each individual in real time. At home and in therapy.
A shared operating picture for families, therapists and institutions. Progress becomes measurable. Decisions become evidence-based.
Speech and behavior carry clinical signal. Our models detect patterns in voice, language and interaction that standardized assessments miss.
Since 2017, Mind Intelligence has led federally funded AI research projects in mental health and human-machine interaction. Our work has been supported by the Federal Ministry of Education and Research (BMBF), the Federal Ministry for Economic Affairs and Energy (BMWi) and the European Commission.
Machine learning that detects signs of depression in the human voice. Developed under our lead in the BMBF-funded MindMarker project, supporting clinicians in early assessment.
Affective computing research conducted with Humboldt-Universität zu Berlin: computational models that infer human emotional states and adapt machine behavior in response.
Our voice research extends into signal processing, including intelligent noise cancelling. Understanding speech starts with hearing it clearly.
Applied AI where the technology matters most.
Mind Intelligence was founded in 2017 and operates from Potsdam and Berlin. We work at the intersection of machine learning and mental health care, partnering with public research institutions, clinics and practitioners to move personalized support from research into everyday practice.
Accessible tools that provide orientation, structure and support in daily life.
Evidence-based assistance that saves time and improves the quality of care decisions.
Core technology that makes products understand and adapt to the people using them.
Collaborations that translate scientific findings into deployable, GDPR-compliant technology.
Talk to us about research collaborations, partnerships or pilots.
Am Kanal 16-18
14467 Potsdam, Germany
Eichhornstraße 3
10785 Berlin, Germany