AI Mental Health Companion
We engineered a voice-first AI companion with a therapeutic framework to validate a new model for mental health support.
Technologies used:
12 Dec 2025
Australia
The Vision & Challenge
Digital mental wellness tools often lack the nuance of human interaction. Most platforms offer static content or simple chatbots that fail to understand emotional context. A mental wellness startup identified an opportunity to create a more responsive tool-an AI companion that listens to a user's tone of voice and adapts its conversation accordingly.
The concept required a complex synthesis of bleeding-edge technologies. They needed to prove that a voice-first AI could not only understand words but also interpret emotion, follow a therapeutic model, and do so within a secure, private environment. Without a functional product to demonstrate this, securing the necessary seed funding to grow the business would be impossible.
The client engaged Robust Devs to build the minimum viable product. Our objective was to architect and deliver a proof-of-concept that integrated a custom AI conversation engine, a low-latency voice interface, and a secure backend. The final product would serve as the tangible evidence needed to earn investor confidence.
Project challenges
- Architecting an AI conversation engine that could adhere to a therapeutic framework and maintain contextual memory, moving beyond simple Q&A.
- Handling highly sensitive user data from the first line of code, requiring a secure-by-design backend compliant with health data regulations.
- Creating a fluid, low-latency voice interface that could accurately transcribe user speech and deliver natural-sounding responses in real time.
Solutions
- We fine-tuned a large language model with a custom logic layer reflecting Cognitive Behavioral Therapy principles, establishing a structured yet adaptive conversational flow.
- Our team implemented a backend architecture with end-to-end encryption and a relational database, building the system with privacy regulations as a core requirement.
- We integrated speech-to-text and text-to-speech APIs into a clean interface, focusing on minimizing latency between user input and AI response.
Technologies used
We are concerned about the security and performance of our customers. That's why we always keep updating and use best technologies in our products
Front-end
JavaScript
ReactJS
HTML5
CSS3
Back-end
PHP
Laravel
DevOps
Docker
Github CI
Database
MySQL
Therapeutic Conversation Engine
We developed a custom AI engine built upon a fine-tuned language model. Unlike a standard chatbot, this system is embedded with a Cognitive Behavioral Therapy framework, enabling it to guide conversations constructively. It maintains a memory of past interactions, allowing for context-aware support that becomes more personalized over time.
Personal Wellness Analytics
The platform includes a private dashboard where users can view trends in their emotional state. By translating qualitative conversation data into simple data visualizations, the system provides users with a clear, objective view of their wellness journey. This feedback loop helps users track progress and understand their patterns.