Leverage AI and ML to gain predictive insights, streamline processes, and enhance productivity. Our solutions address specific business needs, whether through custom AI model development, supply chain optimisation, or improving customer service. Key offerings include:
Custom AI model development: Tailored AI models address unique business challenges and unlock growth opportunities.
Machine learning integration: Seamlessly integrate ML into existing systems to automate tasks and improve efficiency.
Predictive analytics and forecasting: Utilise historical data to predict trends, enabling informed, data-driven decisions.
Computer vision applications: Advanced visual recognition systems enhance security and offer valuable insights through image analysis.
Our data analytics services transform raw data into actionable insights, providing a complete view of your business. We help you understand operations, customer behavior, and market trends to support data-driven decisions. Key features include:
Data warehousing and ETL processesWe design scalable data warehouses with efficient ETL processes to streamline data integration and accessibility.
Big data processing and managementHandle large datasets in real time, ensuring smooth data processing, storage, and management.
Interactive dashboard and report generationGenerate intuitive dashboards and reports for easy tracking of performance metrics.
Data visualizationUsing tools like Tableau and Power BI, we make data visually compelling, helping you make strategic decisions quickly.
Enhance customer engagement and automate service with smart AI-driven chatbots and NLP solutions. By understanding and processing natural language, our solutions improve user experience and streamline interactions. Key capabilities include:
AI-powered chatbot development: Create intelligent chatbots that simulate human conversations, automate responses, and reduce manual workload.
Natural Language Processing (NLP) integration: Incorporate NLP for effective human language processing, allowing for smooth, conversational interactions.
Voice assistant applications: Develop voice-activated systems for hands-free service interaction, enhancing convenience and accessibility.
Sentiment analysis tools: Use NLP to interpret customer feedback, reviews, and social media sentiments, helping your business respond strategically to customer needs.
AI Powered maternal support Mobile App is being created to ensure that all individuals experiencing the pregnancy journey (no matter what that looks like), are supported mentally and emotionally. This app will serve as a companion for maternity, from the beginning through postpartum. As the pregnancy journey can look and feel different for everyone making it hard to read endless articles, books and take advice from others. Solution is here to help break the stigmas, and leverage AI/ML technology to create a personalized experience just for YOU. App is building a voice-first experience. This is an opportunity to-push the boundaries of voice interaction in a mobile app that truly captures the tone, emotion, and personalization of the end-user.
The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.
This system aims to:
An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.