Dyalog®

AI-powered mental health intake & assessment platform

dyalog® is an AI-driven software platform designed for clinics, healthcare providers, and insurance companies to transform how mental health assessments and patient onboarding are conducted.

Built by WALIT’s dedicated Healthcare & AI team, dyalog® creates a seamless digital pathway for first patient admission, combining conversational AI with clinically validated assessment models to deliver meaningful insights from the very first interaction.

This is not a chatbot.
This is a measurable, research-driven mental wellness platform.

The Challenge

Healthcare organizations face a growing demand for mental health services while still relying on fragmented, time-consuming intake procedures.

Traditional onboarding:

• requires manual data collection
• creates delays before the first clinical interaction
• increases operational costs
• limits scalability and patient engagement

In a fast-growing mental healthcare environment, efficiency, accuracy, and patient trust are no longer optional.

Our Solution

From first contact to actionable insight

dyalog® replaces complex intake processes with a guided, AI-powered conversational experience that collects structured psychological data while remaining natural, accessible, and human-centered.

• Patients interact 24/7 through a conversational interface
• AI generates an initial psychological assessment
• Clinicians receive structured, clinically relevant insights
• The entire process is secure, compliant, and supervised by professionals

AI delivers precision. Clinicians ensure relevance.

What Makes dyalog® Different

We don’t guess. We measure.

dyalog® is the first AI-driven platform designed to measure mental wellness, provide insights, and recommend actionable steps — always grounded in clinical guidelines and professional oversight.

• Clinically-backed assessments capturing cognitive, emotional, social, and physical indicators
• Actionable reports and recommendations supporting better decisions and outcomes
• Clinician oversight ensuring accuracy, reliability, and ethical compliance
• Research-driven foundation, developed with psychologists, clinical experts, and academic partners
• Validated by academia, in collaboration with Emory School of Medicine (US)

Two Core Model Layers

Built for flexibility and precision

Conversational Models

Define how dyalog® interacts with patients:

• Natural and safe AI dialogue
• Speech-to-text and text-to-speech for voice interaction
• Intelligent prompts guiding the conversation
• Live assessment during interaction
• Automated reporting
• Compliance and high-risk detection layers

Assessment Models

Define what dyalog® measures:

• Social, emotional, cognitive, and physical wellbeing
• Custom models for specific conditions (e.g. anxiety, PTSD, depression)
• Fully configurable based on organizational needs
• Scalable across different programs and populations

Designed for Healthcare Organizations

dyalog® supports:

• Clinics and medical centers
• Insurance companies
• Mental health programs
• Corporate wellbeing initiatives

It streamlines workflows while improving patient engagement and data quality — without replacing the clinician’s role.

Security, Privacy & Compliance

Mental health data requires the highest level of protection.

dyalog® is built with:

• Secure, privacy-first architecture
• Full compliance with healthcare data regulations
• Controlled data access and traceability
• Ethical AI principles embedded by design

dyalog® + Claiver®

From clinical insight to coordinated care

When integrated with Claiver®, WALIT’s AI orchestration platform, dyalog® enables a fully automated patient journey:

1. dyalog® performs the clinical intake and assessment
2. Claiver® manages scheduling and administrative workflows
3. Patients are matched with the right clinician, at the right time, in the right facility

Clinical focus stays clinical.
Administration becomes frictionless.

Built by WALIT

dyalog® is developed by WALIT’s AI and Healthcare specialists, combining:

• advanced AI engineering
• enterprise-grade software architecture
• deep understanding of healthcare processes
• years of experience in regulated environments

Grounded in research. Validated by experts. Designed for real-world healthcare.