
Wellness
Elevate wellness experiences with our specialised IT services tailored for mental health and fitness industries. From intuitive mental health apps to personalised fitness trackers, we empower businesses to foster well-being. Our solutions prioritise user engagement, seamless integration, and data-driven insights, shaping the future of holistic wellness technology.
Scaling Meditation and Wellness Services with AWS Cloud
Headspace, a leading meditation and mindfulness app, needed to scale its platform to support a growing user base and deliver personalized wellness content.

Solution
Migrated application infrastructure to Amazon Web Services (AWS) for high availability and performance.
Used Amazon DynamoDB to store user data and preferences securely.
Leveraged Amazon SageMaker to build and deploy AI models that deliver personalized meditation recommendations.
Result
- Increased platform scalability to support 30% more concurrent users.
- Reduced content delivery time by 25%.
- Improved user engagement with AI-driven personalized wellness plans.
Enhancing User Experiences with Google Cloud AI
Calm, a leading sleep, meditation, and relaxation app, aimed to personalize user experiences by analyzing sleep patterns and delivering targeted recommendations.

Solution
Migrated data analytics workloads to Google Cloud Platform (GCP).
Used BigQuery to process and analyze user behavior data.
Leveraged Vertex AI to develop personalized recommendations and wellness programs.
Result
- Increased customer retention by 22% through personalized experiences.
- Reduced app response time by 18%.
- Improved sleep tracking accuracy with AI-powered insights.
Improving Health Tracking with Azure Cloud
MyFitnessPal, a popular fitness and nutrition tracking app, wanted to enhance its real-time data processing capabilities to provide personalized health recommendations.

Solution
Migrated data infrastructure to Microsoft Azure to improve scalability and data security.
Used Azure Synapse Analytics to analyze user health data and generate personalized recommendations.
Deployed Azure Machine Learning to offer predictive insights on nutrition and fitness goals.
Result
- Improved data processing speed by 30%.
- Enhanced user engagement with personalized fitness and nutrition plans.
- Increased app uptime to 99.9% during peak usage.
Driving Behavioral Change with AI and AWS Cloud
Noom, a behavior change and wellness platform, wanted to improve its AI-driven coaching model to provide more personalized insights and better guide users through their wellness journey.

Solution
Migrated AI workloads to AWS Cloud to enhance scalability and performance.
Used Amazon SageMaker to build and deploy machine learning models that analyze user behavior.
Leveraged Amazon Personalize to provide customized wellness plans.
Result
- Improved AI model accuracy by 25%, enhancing personalized coaching.
- Increased user engagement by 20% with targeted behavioral change suggestions.
- Scaled seamlessly to support millions of active users.