Digital Therapeutics Software Development Company

We build structured intervention delivery systems for cognitive behavioural therapy (CBT), dialectical behaviour therapy (DBT), acceptance and commitment therapy (ACT), chronic disease coaching, and condition-specific behavioural programs. Each session module is authored in a content management system your clinical team controls, so intervention protocols can be updated without a developer involved. Session sequencing adapts to the patient's progress data, not a rigid weekly schedule.

Intervention fidelity logging captures exactly which protocol elements were delivered, when, and in what order, giving your clinical research team the data they need to demonstrate evidence of efficacy in a regulatory submission or payer negotiation.

Built for DTx startups building their first intervention platform, mental health companies moving from therapist-delivered to software-delivered programs, and pharmaceutical partners building a companion DTx alongside a drug product.

Adherence architecture covers session reminders with personalised timing based on individual usage patterns, progress milestone celebrations that reinforce early wins, streak tracking, and inactivity alert triggers that notify a coach or provider when a patient crosses a defined non-engagement threshold. Push notifications, SMS via Twilio, and in-app messaging channels are all configurable per patient cohort.

We instrument every engagement event so your analytics team can see exactly where patients drop out of a session, which content modules have the lowest completion rates, and which nudge strategies retain patients longest. That data feeds directly into product improvement cycles rather than sitting in a raw event log.

Built for chronic disease management platforms aiming for 70%+ active usage at 12 weeks, mental health apps replacing high-cost one-to-one therapy at scale, and DTx programs entering payer negotiations where adherence data is a reimbursement lever.

Validated assessment instruments, PHQ-9, GAD-7, PHQ-15, PROMIS scales, AUDIT-C, HbA1c logging, blood pressure and weight tracking, and disease-specific outcome tools, are embedded directly into the intervention session flow. Scores are calculated in real time, time-stamped to the second, and stored with a full audit trail linking each score to the patient session, device, and software version that produced it.

FHIR R4 Observation resources carry outcome data to EHR systems and research databases via standard APIs, removing the manual extraction step that currently delays clinical review. Longitudinal outcome dashboards give your clinical team a patient-level and cohort-level view of progress without running a database query.

Built for DTx platforms seeking FDA SaMD clearance, clinical research teams running real-world evidence studies, and outcome-based reimbursement arrangements where payers require periodic outcome reporting as a condition of coverage.

Provider dashboards surface the patient data a clinician needs before a check-in: most recent outcome scores with a trend line, session completion rate over the past two weeks, inactivity alerts, and any flags the intervention logic triggered. Dashboards are role-based: a prescribing physician sees clinical outcome trends; a health coach sees daily engagement and open tasks; an ops manager sees cohort-level adherence rates and programme completion.

We build EHR-embedded dashboard views using SMART on FHIR so providers can see patient progress without leaving Epic or Cerner. Standalone web dashboards are available for care teams who manage patients across multiple EHR systems.

Built for prescription DTx companies whose commercial success depends on prescriber retention, digital health platforms with multidisciplinary care teams, and disease management programmes operating under value-based care contracts.

SaMD-aware data architecture covers the full technical safeguard layer the FDA expects in a premarket submission: immutable audit logs that record every clinical data access and modification event, software version control that maps each release to its clinical evidence base, cybersecurity risk documentation covering all data flows, and data integrity controls that confirm records cannot be altered after the fact without detection.

HIPAA-compliant data handling is built in from sprint one: PHI encryption at rest using AES-256 and in transit via TLS 1.3, role-based access controls scoped to minimum necessary access, and business associate agreement coverage mapped to every infrastructure provider. De-identification pipelines for research use follow Safe Harbor or Expert Determination methods as required.

Built for DTx companies planning an FDA 510(k) or De Novo submission, prescription digital therapeutics developers navigating the Software as a Medical Device pathway, and any DTx platform handling PHI in a regulated market.

Care coordination platforms connect patients, health coaches, prescribing physicians, and specialist providers around a shared view of the patient's therapeutic program. Secure messaging built on HIPAA-compliant infrastructure, task assignment with completion tracking, care plan management with protocol versioning, and escalation workflows that notify the right person when a clinical threshold is breached form the operational layer.

We integrate with telehealth video platforms (Zoom for Healthcare, Doxy.me, AWS Chime) for scheduled check-ins, and with HL7 FHIR APIs to pull patient context from the EHR into the care coordination interface. Appointment scheduling, session recording consent management, and billing data preparation for remote therapeutic monitoring CPT codes (98975, 98976, 98977) are included.

Built for DTx platforms operating under a hybrid software-plus-human-coaching model, chronic disease management companies coordinating care across primary care and specialist providers, and remote therapeutic monitoring programs billing under CMS RTM codes.