Detect treatment response weeks earlier without adding patient burden

The only speech-based biomarker platform for clinical trials with advanced proprietary behavioural analytics for multiple disease areas and use cases with patient-centric intake protocols enabled by agentic AI.

  • Collect daily speech data through natural voice journalling
  • Identify dropout risk and reduce patient attrition by 5-10%
  • Detect early signals and treatment response 2–4 months before traditional scales respond
ISO certified and GDPR compliant enterprise-grade security architecture with patient centric privacy features

Take patient-centricity into the AI-era with intuitive speech intake and reduce clinical trial timelines by 10-30% with digital speech biomarkers

Behavioural biomarkers

2–4 months earlier detection

of cognitive, mood, and behavioural changes compared to traditional scales

5–10% improvement

in patient adherence by more effective patient stratification and dropout risk prediction

Stronger regulatory packages

through precise patient stratification and continuous objective endpoints

There's a better way to collect psychometric and behavioural data in clinical trials

Traditional methods miss critical data between site visits. Speech biomarkers capture behavioural changes continuously.

Conventional approach

Timeline with two teal circles labeled 'Clinical Checkpoint,' each marked by clipboard icons indicating evaluation points.

Infrequent clinical assessments at site visits

Manual patient diaries and static rating scales collect data only at scheduled checkpoints, missing critical changes between visits.

  • Inconsistent reporting across patients due to varied expression and recall bias
  • Low compliance and incomplete data from burdensome diary formats
  • Delayed insights that prevent adaptive trial design and early intervention

New era with speech biomarkers

Timeline diagram with two clinical checkpoints marked by blue circles and labeled, connected by a continuous pink line with behavioral endpoints indicated by pink circles and warning icons linked to checklist icons.

Continuous behavioural monitoring through natural speech

Patients record 2-3 minutes of voice daily. Speech biomarkers detect cognitive, mood, and behavioural changes in real time.

  • Objective, comparable data across all patients with harmonised analysis
  • High engagement through low-burden voice journalling instead of written forms
  • Real-time alerts for dropout risk, treatment response, and adverse events
Why speech biomarkers

Speech biomarkers provide the continuous visibility modern trials require

Stop missing critical data between site visits

Manual diaries and infrequent site visits miss the behavioural changes that signal treatment response

Traditional PRO collection relies on patients completing written questionnaires between site visits. This creates inconsistent reporting due to recall bias, low compliance from burdensome formats, and delayed insights that arrive too late for adaptive trial decisions. Critical dropout signals and treatment effects remain invisible until the next scheduled checkpoint. Most methods also fail to catch objective observable and unconscious behaviours.

Timeline with two teal circles labeled 'Clinical Checkpoint,' each marked by clipboard icons indicating evaluation points.
Capture behavioural changes as they happen

Intuitive conversational speech interface reduces patient burden

Depending on the protocol, patients record 2-3 minutes of natural speech daily through voice journaling or provide input via more thorough interviews or conversations with agentic AI. Traditional surveys can also be automatically facilitated through the speech interface.

Realtime insights of behavioural and mood changes

AI analyses acoustic features (pitch, speech rate, pauses), semantic patterns (sentiment, coherence, vocabulary) and behavioural cues such as protocol adherence to extract behavioural and emotional biomarkers. This provides real-time visibility into behavioural, cognitive and mood changes as they happen.

Timeline diagram with two clinical checkpoints marked by blue circles and labeled, connected by a continuous pink line with behavioral endpoints indicated by pink circles and warning icons linked to checklist icons.
Make faster decisions with better data

Detect early signals and treatment response 2-4 months earlier

Continuous monitoring identifies dropout risk before patients disengage, enabling proactive retention strategies. Earlier detection of treatment response allows for faster interim decisions and shorter trial durations. Objective, comparable data across all patients strengthens regulatory packages and accelerates approval timelines.

Behavioural biomarkers

What makes Adalyon different

Everything you need to capture, analyse, and act on behavioural data in real time

Programmable AI Agent

Agentic AI and guided journalling to extract natural speech data. GenAI-powered conversational AI enables natural discussions through voice or text. Curated guided journalling programmes support trial monitoring and provide feedback based on behavioural data.

Behavioural biomarkers

Behavioural detection

Behavioural and emotional speech biomarkers for personalised insights. Analyses psychosocial expressions and behaviours, detects emotions using Plutchik's classification model, and extracts paralinguistic features including speech rate, length of phrases, interruptions, and pauses.

Automated clinical scales

Proprietary AI algorithms for automating clinical psychometric assessments. Analyses patient sessions, interviews, and journal entries with custom LLMs for correspondence to psychometric scales. Provides psychometric progress analytics following individual behaviour over time.

API-BASED & SEAMLESSLY INTEGRATING PATIENT ENGAGEMENT

The Behavioural Intelligence Platform

Built to capture, analyse, and translate speech into real-time behavioural insight—for your clinical trial patient check-ins.
Laptop displaying a client management dashboard with user details and booking status next to a smartphone showing a self-reflection app screen with prompts, progress tracking, and journal entries.

Patient App

Low-friction voice journalling with guided prompts. Keeps patients engaged whilst collecting high-quality speech data in real time.

Dashboard

Real-time behavioural insights for clinical teams. Monitor trends, receive alerts, and track engagement across cohorts.

Biomarker Builder

Create and validate custom speech-based endpoints. Design new behavioural biomarkers tailored to your study protocol or therapeutic area.

Developer API

Integrate into existing trial infrastructures. Connect Adalyon's behavioural intelligence capabilities with your current systems and workflows.

Fully secure technology

Enterprise-grade security architecture with patient centric privacy feature

Insight Assurance logo with ISO/IEC 27001:2022 certification badge.

Privacy-by-design

The platform extracts key behavioural patterns from speech and immediately discards the original recording. All insights are non-personally identifiable data that cannot be traced back to individual voices.

Regulatory compliance

The platform complies with GDPR and the EU AI Act. DPIA reviews and DPA documentation are available for audit.

Built-in consents

Patients can easily manage their consent through built-in tools, ensuring ethical and regulatory compliance for therapy and clinical trials.

Enterprise-grade

Information Security Management System (ISMS) aligned with ISO 27001 standards. The platform maintains enterprise-grade controls across access, availability, and data protection.

Secure architecture

The platform continuously monitors and reviews systems, suppliers, and third-party tools in line with ISO 27001 control objectives.

Continuous controls

Microsoft Azure hosts all data within the EU. Regional data residency, strict access controls, and advanced security measures protect all information.

Team

The team behind Adalyon

Our team combines expertise in AI engineering, clinical research operations, and behavioural science. We've spent years developing speech analysis algorithms and behavioural analytics—we understand both the technical challenges of extracting reliable biomarkers and the regulatory requirements of bringing digital endpoints to market.

Ulrik Tirsted Zeuthen
Ulrik Tirsted Zeuthen
CEO

Ulrik previously worked as Director of Global Data and AI at Novo Nordisk, where he led initiatives across clinical use cases and trial design. With a background in finance, data analytics, and mathematics, he brings deep expertise in translating complex data into actionable clinical insights.

Dr. Katarina Cantell
Dr. Katarina Cantell
Founder & CSO

Katarina has over 20 years of experience spanning digital and IT services, healthcare, and HRM/wearables. Her academic background in behavioural science and information systems positions her at the intersection of technology and human behaviour, driving Adalyon's scientific approach to speech-based biomarkers.

Riko Nyberg
Riko Nyberg
Chief Technology Officer

Riko previously worked at Apple on Siri speech solutions and conducted behavioural analytics research at Stanford University. As a tech lead with emphasis on back-end architecture and AI/ML & NLP, he architects the technical foundation that powers Adalyon's speech analysis platform.

Herman Smith
Herman Smith
Chief Architect

Herman is an enterprise-grade architect and senior team lead who masters the full solution stack at Adalyon. With previous experience in fintech and behavioural analytics, he ensures the platform meets the rigorous security, scalability, and reliability standards required for pharmaceutical clinical trials.

Ilze Dreyer
Ilze Dreyer
Product Lead

Heikki Tarkkila
Heikki Tarkkila
Advisor, MD, ex-McKinsey

Heikki brings extensive experience from his roles as an Associate Partner at McKinsey focusing on Life Sciences & Healthcare, a digital health entrepreneur, and clinical work. He has vast experience in leading projects in clinical trial design, investments, and strategy for pharma and biotech clients.

Dr. Kane Bidwell
Dr. Kane Bidwell
Advisor, Director of Psychology at Egon Zehnder

Kane is the Director of Psychology at Egon Zehnder, a global leadership advisory and executive recruitment firm. He has a background in organisational psychology and enjoys creating new solutions combining AI and organisational psychology. Kane has extensive, international experience in organisational development, leadership assessments, and radar on the international HR tech market.

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Ready to reduce trial timelines and strengthen insights with patient-centric speech biomarkers?

Book a demo to see how the platform captures behavioural data in real time, or contact us to discuss your specific trial requirements.

Get in touch

Contact us to discuss how speech biomarkers can fit your trial design. We'll walk through your therapeutic area, endpoints, and integration requirements—then show you exactly how the platform delivers continuous behavioral insights without adding patient burden.

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