Architecting a cutting-edge conversational AI system is our expertise. We excel in project research, definition, and estimation. Our AI team specializes in data collection pipeline setup, developing and deploying DL models as services, and conducting hypothesis testing for optimal performance.
Head of AI
$ 100 000+
1 000+
Our client sought to revolutionize their industry by infusing AI-driven conversational capabilities into their products. They envisioned enhancing user engagement, personalization, and overall satisfaction across diverse sectors such as coaching, entertainment, and dating. Their ambition was to create AI-powered conversations that felt genuinely human, bridging the gap between technology and emotions.
Crafting meaningful conversations that resonate with users on a personal level presented a formidable obstacle. The core challenge lay in developing an AI system that could understand context, emotions, and nuances in language. Additionally, the project had to manage a substantial amount of data, encompassing various industries, to train and fine-tune the AI models effectively. To make this vision a reality, we also had to manage a team of data collectors and data scientists, ensuring seamless collaboration across multiple domains. The ultimate goal was to not only meet industry standards but to exceed them, bringing the magic of conversational AI to diverse industries, including wellbeing, entertainment and dating.
Our team embarked on a meticulous exploration of the conversational AI landscape, evaluating the most promising technologies. Leveraging the power of Hugging Face, Pytorch, GPT, and OpenAI, we built an architecture that formed the backbone of Conversational AI. This robust foundation allowed us to process, understand, and generate human-like text, enabling natural and engaging conversations.
To address the data challenge, we established a comprehensive data collection pipeline. This system efficiently gathered, cleaned, and organized vast datasets from diverse sources, including internally generated sources. Utilizing Python, NoSQL, and AWS, we created an agile infrastructure for seamless data management. Data scientists and collectors collaborated, ensuring high-quality inputs for our models.
Wellbeing AI's success hinged on real-world deployment. With Docker, Django-Rest, and LangChain, we developed a scalable production deployment system. This allowed us to seamlessly integrate our AI models into various client applications (Web, Mobile and Plugins). Hypothesis testing and performance reporting became integral to our iterative development process, enabling continuous improvement of our solution.
The creation of Wellbeing AI opened doors to diverse industries. By tailoring the AI for wellbeing, entertainment, and dating, we helped our client tap into new markets and revenue streams. Conversational AI became a game-changer, enhancing user experiences and satisfaction across these sectors.
Our most remarkable achievement was the development of a state-of-the-art memory system. This innovation enabled Conversational AI to create personalized and meaningful conversations. Users felt heard, understood and entertained, forging deeper connections with the technology.
Through relentless dedication and innovation, Wellbeing AI transformed from a concept into a commercially viable product. Our team's efforts resulted in three commercially available projects, each tailored to specific industries. These projects completely met our client's expectations, driving the new standards for conversational applications