Patient-Centered Mental Healthcare Platform
We developed Braive, a precision mental healthcare platform that combines EU MDR-certified iCBT pathways, AI-assisted clinical documentation, & real time clinical decision support. Created as a Class IIa medical device, it streamlines the clinical work process, improves treatment results, and is also deployed across leading healthcare systems, which helps in serving patients across Scandinavia & Europe.
- AI Clinical Documentation Engine
- iCBT Treatment Platform Development
- EU MDR Medical Device Engineering
- GDPR-Compliant Health Data Architecture
- Clinician Decision Support Systems
- Mental Health Triage & Screening Engine
- Digital Therapeutics (DTx) Development
- Healthcare AI/NLP Model Integration
About the Project & Business Goal
Braive is a Sweden-based precision mental health company that is primarily focused on transforming behavioral healthcare across clinical, corporate & insurance settings. The platform incorporates evidence-based iCBT treatment programs, AI-enabled screening, triage & Braive Note engine for automated clinical documentation, reducing clinical workload. Established as an EU MDR Class IIa device, it meets stringent safety levels and is designed to continuously evolve with peer-reviewed research by ongoing academic collaborations.
Key Results of Our EU MDR Mental Healthcare Platform
Clinically Proven Treatment Outcomes
iCBT care pathways were built on 20+ years of psychotherapy research, which resulted in providing measurable symptom reduction, tracked across PCL-5, PHQ-9, and GAD-7 assessments set natively into every patient journey.
AI Documentation Reduced Clinical Workload
The AI-powered session documentation engine, Braive Note, generates 99.8% accurate clinical notes post-therapy sessions, which saves clinicians 15 minutes/client call on average, empowering more capacity without extra overhead.
Insurer & Enterprise Adoption at Scale & Speed
Smoothness & ease of onboarding for insurance partners & enterprise HR, including Ageas Portugal, Avonova, Lovisenberg, and Falck, with a stigma-free user experience drove higher employee utilization.
Metrics We Helped Braive Achieve
We engineered Braive on a modular, microservices-based, event-driven architecture across AWS and GCP, enabling scalable iCBT delivery, AI-assisted clinical documentation, and real-time decision support, supporting mental healthcare systems across Europe. Here are the metrics enabled by Excellent Webworld’s software development & AI development service.
Saved Per Clinical Session Time Efficiency
AI-generated clinical notes help to remove post-session admin burdens, thus saving clinicians time across all the sessions on the platform.
EU MDR Certified Clinical Medical Device Platform
The platform meets stringent EU MDR compliance standards, ensuring clinical safety, risk management, and continuous peak surveillance across deployments.
Research Foundation Behind Every Pathway
Care pathways are developed on decades of psychotherapy research, continuously improved through machine learning & real-world patient outcome data.
Higher Program Engagement
More Patients Onboarded
Leading healthcare organizations onboarded
Better Program Completion
Key Clinical & Engineering Challenges
Developing a precision mental healthcare platform as an EU-MDR-certified medical device is not a feature challenge; it is an actual system engineering aspect where each & every architectural design directly affects clinical safety, regulatory compliance & patient outcomes simultaneously.
EU MDR Class 11a Medical Device Status
Braive required complete EU MDR Class 11a medical device classification. Achieving it demanded rigorous risk management documentation, audit-ready quality management, clinical evidence, and post-market surveillance pipelines across every feature.
AI Note That Doesn’t Replace Clinical Judgment
The AI session documentation engine, Braive Note, needed to compile diagnostically accurate treatment recommendations & session notes while functioning strictly as a tool that supports decision-making instead of making autonomous decisions or generating outputs, which could mislead practitioners.
Personalized Care Pathways Across Patients
Every patient is unique. The platform required smart triage logic capable of mapping symptom profiles to custom & appropriate care trajectories in real time by extracting outcome data of similar cases and consistently updating clinical research.
Platform Architecture Evolution With Academic Research
The collaboration of ALEC2 with UiO & KTH required a modular architecture where outcome metrics, treatment programs & AI models could be continuously updated with new research findings without the requirement of recertification cycles system-wide.
GDPR-Compliant Multi-Jurisdiction Data System Deployments
Operating across Europe under different data residency requirements needed a privacy-first, highly secure infrastructure where health data of patients remains sovereign by jurisdiction even as aggregate clinical analytics remains accessible to approved partners.
Overcoming Stigma-Driven Avoidance with UX
The platform needed to have a UX that could dismantle stigma-driven hindrances in adoption without compromising clinical accuracy. We needed to identify core friction points like unstructured self-help, privacy fear & therapist selection overload through discussions with the employees who avoid EAP services.
What We Engineered for Braive
Each decision was guided by clinical safety, regulatory compliance standards & patient privacy, which ensures each feature underwent documented safety assessments before deployment across the platform.
Designed and incorporated a QMS (Quality Management System) aligned with EU MDR Annex IX requirements, consisting of audit trails, post-market surveillance pipelines, & clinical evidence documentation frameworks that support Class IIa certification & regulatory compliance.
Fine-tuned transformer models on anonymized transcripts to provide accurate session summaries, diagnosis support, & treatment suggestions with multi-stage safety classifiers that ensure outputs to remain decision support & flagging uncertainties over ambiguous conclusions.
Developed a real-time triage system utilizing validated assessments & outcomes matching algorithms to assign patients to iCBT pathways, enhancing recommendations by collaborative filtering based upon similar patient profiles & accurate outcomes.
Built a modular API enabled treatment based layer that helps the researchers to update protocols, run A/B testing & incorporate new evidence smoothly without triggering platform recertification, ensuring continuous clinical innovation & adaptability.
Incorporated jurisdiction-aware data routing with protected residency controls & different privacy techniques ensuring patients’ datasets sovereignty while enabling secure aggregate analytics access for enterprise & insurance partners without exposing records.
Redesigned the onboarding pathway, addressing privacy issues, therapist selection friction, & unstructured journeys, incorporating SAML/OIDC SSO and SCIM provisioning, enabling rapid enterprise deployment while enhancing engagement across stigma-sensitive mental healthcare users.
Empathetic Design. Built for Mental Healthcare
Mental healthcare platforms often fail due to complex interfaces & stigma-related friction. We conducted research with patients and clinicians to design a privacy-first experience featuring guided iCBT journeys, AI-assisted interactions, and intuitive workflows across web and mobile platforms.
Multi-Layer Safety Framework
Clinical mental health platforms demand safety, compliance, and clinician oversight. We developed Braive with a multi-layer architecture ensuring regulated AI outputs, privacy-first data handling, continuous monitoring, and fully auditable, EU MDR-compliant clinical decision support.
AI Output Guardrails
All AI-generated clinical data passes through a safety classifier flagging ambiguous, overconfident, or diagnostically unsafe outputs before reaching to the clinician UI.
Privacy Control Layer
Encrypted jurisdiction-scoped databases enforce strict data residency, ensuring patient records never cross borders while analytics remain accessible through aggregate datasets.
Clinical Audit Layer
Each patient’s interaction is logged and reviewed by clinical queues with automated notifications for symptom deterioration & complete audit trails are maintained for compliance.
Evidence Validation Gate
Newer treatment modules undergo rigorous clinical evidence reviews, along with research updates, validations, and versioning, before launch to ensure safe implementation.
Compliance & Regulatory Standards
Each layer of the Braive platform was built against active regulatory frameworks, not as a post-development checklist, but as a foundational design constraint from sprint zero.
Technology Stack Behind Braive
Each technology choice for Braive was validated against clinical safety reliability, GDPR-compliant data handling, and scalable support for EU MDR post-market surveillance requirements across deployments.
- Python (FastAPI)
- Node.js
- Express.js
- GraphQL
- REST APIs
- Celery (async processing)
- React.js
- TypeScript
- Tailwind CSS
- Next.js
- WCAG 2.1 AA Accessibility
- React Native
- Swift (iOS)
- Kotlin (Android)
- Fine-tuned GPT-4
- DistilBERT
- scikit-learn
- PyTorch
- HuggingFace
- NLP Pipelines
- Safety Classifiers
- HL7 FHIR
- Clinical Data Models
- PHQ-9
- GAD-7
- PCL-5 Integrations
- Audit Logging Systems
- AWS (GDPR BAA)
- GCP (ML Workloads)
- Docker
- Kubernetes
- Terraform
- CI/CD Pipelines
- PostgreSQL
- MongoDB
- Redis
- Amazon Redshift
- Encrypted Data Stores
- GDPR Controls
- EU MDR QMS
- ISO 27001 Practices
- Encryption (At-Rest & In-Transit)
- SAML/OIDC SSO
- SCIM Provisioning
- OAuth 2.0
- Role-Based Access Control (RBAC)
How We Built Braive
A clinically governed development approach, each sprint is reviewed by a clinical advisory board, and every feature is evaluated for regulatory compliance and safety impact before development commences.
Clinical Discovery Mapping
Mapped patient journeys, analysed EAP gaps, scoped EU MDR classifications, onboarded clinical experts, & audited digital therapeutics platform.
UX Safety Design
Conducted research with users avoiding mental healthcare, detecting barriers, & designed a stigma-free onboarding process & clincian dashboards.
Platform Build Training
Develop infrastructure, iCBT pathways, AI documentation, triage systems, GDPR data architecture, and an integrations & outcome-tracking module in parallel.
Clinical Validation Audit
Executed pilot programs, validated AI safety, prepared EU MDR documentation, compiled clinical evidences & completed GDPR architecture audits.
Launch Scale Onboarding
Rolled out the onboarding clinician process, enabled enterprise deployments, monitored results, and continuously updated programs with the research partners.
Enterprise Integration
Incorporated post-market surveillance systems, integrated enterprise workflow & established continuous clinical advisory governance for the platform updates.
What Our Client Says
Every decision reflected three priorities; clinician-first safety, EU MDR-grade regulatory rigor, and privacy-first scalability, ensuring trustworthy AI support, auditable systems, and seamless delivery of mental healthcare across diverse enterprise and healthcare environments.
Building a certified medical device in mental health means there is no room for a single unsafe AI output, a single data protection gap, or a single UX decision that re-introduces stigma. Excellent Webworld understood that from the first week. The result is a platform our clinical partners trust completely, and that our patients rely on during the moments that matter most.
As a healthcare app development company, we understand the clinical, regulatory, and engineering complexity of digital therapeutics. Let’s explore how we can build a platform that earns clinician trust, meets regulatory standards, and truly improves patient outcomes.