AI That Understands Maternal Health
Mahalo's AI platform delivers personalized, empathetic, and culturally-aware support for maternal health through our HAIA assistant, multimodal prediction engines, and intelligent intervention systems.
Hello Emma! I noticed your heart rate was elevated during your walk today. How are you feeling?
I'm feeling a bit more tired than usual today. I had trouble sleeping last night.
I understand. Your sleep data shows you had 5.2 hours last night, below your usual 7 hours. Would you like some gentle exercises that might help with sleep quality tonight? I can also connect you with your coach if you'd prefer to discuss this further.
Yes, I'd appreciate some gentle exercises. What do you recommend?
Based on your 24-week pregnancy status and previous preferences, I recommend these pregnancy-safe relaxation exercises:
- Gentle prenatal yoga (15 min)
- Deep breathing meditation (10 min)
- Light stretching before bed (5 min)
Would you like me to guide you through these exercises tonight at 9 PM?
AI-Powered Solutions for Maternal Health
Our comprehensive AI platform delivers four key capabilities that directly address the requirements for maternal and early childhood health research and care.
HAIA: Human-AI Health Assistant
Our mobile-based assistant blends advanced LLM technology with rules-based logic to provide personalized guidance with empathy and cultural awareness, adapting to each participant's unique needs.
Social Intelligence & Role Adaptation
Meta-reasoning and symbolic frameworks simulate empathy and motivational interviewing techniques to increase engagement, cultural fit, and user trust.
On-Stream Personalization
Real-time profile augmentation using wearable and survey data to continuously adapt to changing health status and context.
Multilingual Support with Theory-of-Mind
Communicates in 10+ languages with cultural context awareness and theory-of-mind logic for truly context-sensitive, emotionally intelligent conversations.
Daily Guidance
HAIA provides 24/7 personalized support for exercise, sleep, nutrition, stress management, reminders, and education, helping pregnant women maintain optimal health and addressing barriers in real-time.
Voice Biomarkers for Emotion/Stress
Our non-invasive audio analysis technology examines tone, pitch, and vocal patterns to detect emotional states and stress levels, providing early warning signs for mental and physical health concerns.
Early Detection Capabilities
Identifies markers for stress, depression, sleep apnea, asthma, and hypothyroidism through voice pattern analysis.
Passive Monitoring Integration
Seamlessly collects data during regular conversations with HAIA, requiring no additional effort from participants.
Privacy-Preserving Analysis
Processes vocal patterns without storing actual conversations, maintaining participant confidentiality and trust.
Health Impact
Voice biomarkers enable early detection of perinatal depression, allowing for timely interventions that can reduce depression rates by 25% and improve maternal-child bonding and long-term mental health outcomes.
Multimodal AI Prediction Engine
Our advanced prediction models are trained on wearable, behavioral, and self-reported data to identify early warning signs for gestational diabetes, hypertension, preterm birth, and perinatal depression.
Advanced Algorithms
Leverages Random Forest, LSTM, and Transformer models to handle temporal and longitudinal data with multimodal inputs for superior prediction accuracy.
SHAP Explainability
Feature attribution and model transparency using SHAP values to provide clinically trustworthy AI outputs for researchers and healthcare providers.
Early Warning System
Alerts healthcare providers to potential complications before traditional clinical signs appear, enabling preventive interventions.
Research Impact
Early risk detection enables preventive interventions that can reduce preterm births and pregnancy complications, potentially saving billions in healthcare costs while improving long-term health outcomes for mothers and children.
Intervention Delivery & Monitoring
Our AI-driven triage and escalation system ensures safety with automated routing to human providers when needed, creating a seamless blend of AI efficiency and human expertise.
Adherence Prediction Models
AI evaluates the likelihood of participants following interventions to tailor nudges and identify drop-off risk before it occurs.
Smart Nudges
Behavioral reinforcement based on real-time data improves compliance and engagement with health routines and research protocols.
Seamless Human Handoffs
Smooth transitions between AI and human care providers ensure participants always receive the appropriate level of support.
Care Impact
The human-AI symbiosis ensures participants receive the right level of care at the right time, optimizing healthcare resources while maintaining the highest safety standards and building trust in the research program.
Data-Driven Personalization
Our AI platform leverages advanced personalization technologies to deliver tailored experiences that adapt to each participant's unique health journey and preferences.
Retrieval-Augmented Generation (RAG)
Our AI assistant doesn't just generate responses—it retrieves and references specific information from clinical documents, evidence-based guidelines, and prior conversations to ensure accuracy.
Links large language models to our evidence base for safe, accurate, evidence-backed responses
Maintains conversation context to provide consistent, personalized guidance
Updates recommendations based on the latest clinical research and guidelines
Federated Learning (Planned)
Our next-generation approach to AI training will allow models to learn from data across multiple devices without centralizing sensitive information, preserving privacy while improving personalization.
Enables local fine-tuning without centralized data sharing for enhanced privacy
Maintains data sovereignty while benefiting from collective learning
Supports diverse populations with culturally-sensitive model adaptations
Dynamic User Profiling
Our platform builds evolving health behavior models for each participant, continuously learning from interactions, wearable data, and survey responses to optimize guidance over time.
Adapts to changing health status, preferences, and behavioral patterns
Identifies optimal intervention timing based on individual routines
Adjusts communication style and content to maximize engagement
Personalization in Action
See how our AI platform adapts to each participant's unique needs throughout their pregnancy journey, providing increasingly personalized support as it learns from interactions and data.
Initial Onboarding
Collects baseline preferences, health history, and goals to establish personalization foundation
Continuous Learning
Analyzes wearable data, conversation patterns, and engagement to refine user profile
Adaptive Interventions
Delivers increasingly tailored recommendations based on what works for each individual
Outcome Optimization
Continuously refines approach to maximize health outcomes and research objectives
Personalization Timeline
Week 24Adaptive Exercise Recommendations
Initially suggested 30-min walks, now recommending shorter, more frequent activity breaks based on observed adherence patterns and sleep quality improvements.
Optimized Notification Timing
Learned that morning reminders (7-8am) receive 3x higher engagement than afternoon messages, adjusting all communications accordingly.
Content Personalization
Identified preference for video content over text, now prioritizing visual educational materials with 78% higher completion rate.
Powering the Research Ecosystem
Mahalo's AI platform seamlessly integrates with research and care components, creating a unified experience for participants and researchers.
Human-AI Symbiosis in Action
Wearable Data Integration
HAIA processes real-time data from wearables, monitoring heart rate, sleep patterns, activity levels, and stress markers to provide personalized coaching.
Contextual Understanding
AI analyzes patterns across multiple data sources, understanding the context of each participant's unique pregnancy journey and health status.
Research Platform Integration
Seamlessly connects with our Research platform for eConsent, survey data collection, and outcome tracking while maintaining privacy and data security.
Care Platform Connection
Integrates with our Care platform to deliver personalized exercise recommendations, nutrition guidance, and appointment scheduling.
Daily Activity Summary
TodayAI Recommendation
You're close to your step goal! A 15-minute evening walk would help complete your daily activity target and may improve sleep quality tonight.
Exercise Impact
Reduced risk of gestational diabetes with recommended activity levels
Sleep Quality
Improved sleep quality with personalized evening routines
How Our AI Platform Works
Discover the comprehensive architecture that powers Mahalo's AI platform, designed specifically to support maternal health research and care delivery goals.
Platform Services
The core services that enable seamless integration and user engagement across the entire platform.
Wearable & Device Integration
Connects with fitness trackers, smartwatches, and health devices to collect real-time health data from participants.
Engagement & Nudge System
Sends personalized reminders and motivational messages to keep participants engaged with their health goals.
Care & Coaching Platform
Provides personalized health coaching and care recommendations based on individual participant needs.
Consent → Ethics Engine
Ensures all data collection and AI interactions comply with ethical guidelines and participant consent.
Infrastructure
The robust foundation that ensures security, scalability, and global accessibility of the platform.
Longitudinal Data Lake
Stores and manages long-term health data to track participant progress and outcomes over time.
Security, RBAC & Audit Layer
Protects sensitive health data with advanced security measures and tracks all system access and changes.
Global Infrastructure & Localization
Ensures the platform works reliably worldwide with support for multiple languages and local regulations.
User Interfaces
Intuitive interfaces designed for different user types, ensuring easy access to platform features.
Participant Mobile/Web App
User-friendly apps where pregnant women can track their health, receive coaching, and interact with HAIA.
Coach Portal
Dashboard for healthcare coaches to monitor participants, review AI recommendations, and provide personalized support.
Researcher Console
Comprehensive tools for researchers to analyze data, track study progress, and generate insights.
AI/ML Services
Advanced artificial intelligence capabilities that power personalized health insights and predictions.
LLM / Rules Chat Engine (HAIA)
The conversational AI assistant that provides personalized health guidance and answers participant questions.
Multimodal Prediction Engine
Analyzes multiple types of data to predict health risks and recommend preventive interventions.
Voice + Emotion AI Module
Detects emotional states and stress levels through voice analysis to support mental health monitoring.
Core Services
Essential research tools that enable researchers to conduct rigorous clinical studies and track outcomes.
RCT/Survey Engine
Manages randomized controlled trials and collects survey data to ensure scientific rigor in research.
Study Designer & Outcome Tracker
Tools for researchers to design studies, define outcomes, and track progress toward research goals.
Seamless Integration
All components work together harmoniously to create a comprehensive platform that supports both research excellence and exceptional participant care. The architecture ensures data flows securely between systems while maintaining privacy and enabling real-time insights.
Security First
Every component is designed with security and privacy as fundamental principles.
Real-time Processing
Data flows in real-time to provide immediate insights and timely interventions.
Scalable Design
Built to support growth from pilot studies to global implementation.
Responsible AI for Maternal Health
Mahalo's AI platform is built on a foundation of safety, ethics, and transparency, ensuring that all AI interactions prioritize the well-being of mothers and babies while supporting research goals.
Human-in-the-loop Oversight
Every critical AI decision is reviewed by qualified healthcare professionals, ensuring safety and accuracy.
Regular Bias Audits
Continuous monitoring and testing to ensure fairness across all populations and demographics.
Transparent AI Explanations
Clear, understandable explanations for every AI recommendation or decision.
Privacy-preserving Data Handling
Advanced encryption and federated learning to protect participant privacy and data security.
AI Safety Framework
1Data Collection & Privacy
- GDPR and HIPAA compliant data handling
- Federated learning to keep data on user devices
- Transparent consent and data usage policies
2AI Training & Validation
- Diverse training data representing global populations
- Regular retraining with new clinical evidence
- Expert validation of all AI recommendations
3Deployment & Monitoring
- 24/7 monitoring of AI system performance
- Automatic escalation for uncertain recommendations
- Regular safety audits and performance reviews
Transform Maternal Health Research
Join us in revolutionizing maternal and early childhood health through the power of AI and human expertise. Together, we can create a healthier future for generations to come.