AI+R: Research & Development Leadership

 

Artificial Intelligence + Robotics

For over six years, we have been at the forefront of innovation in conversational and rules-based AI, pioneering solutions that transform the way humans interact with technology.

Our expertise has earned us a reputation as leaders in the field, driving progress that shapes the future of business through our Physical & Digital Helpas.


AI+R: Combining Rules-Based AI with Neural Learning with Robotics

Our cutting-edge research and development teams are making remarkable strides in blending rules-based AI with neural learning to create solutions that are both intelligent and adaptable, learning from every interaction and improving understanding. 

This unique combination allows us to deliver Helpas that excel in precision while continuously learning and improving.

One really exciting area of progress is our work integrating these advanced Business Helpas into physical robots, pushing the boundaries of what Helpas can achieve.


Case Studies

Retail Front-of-House Agents

Our retail-focused Helpas systems are revolutionising customer experiences.

By combining rules-based frameworks for reliable task execution with neural learning for natural language understanding, our solutions enable robots to manage customer queries, provide personalised recommendations, and enhance service efficiency—all in real-time.


Physical Robotics in Factory Settings

In our R&D efforts focused on industrial applications, we are creating robotic Helpas capable of performing physical tasks in factory environments.

Helpas use conversational AI to receive spoken instructions and seamlessly execute complex, precision-based tasks.

Our research demonstrates how integrating conversational AI with physical functionality can lead to transformative productivity gains in manufacturing and logistics.


Helpas in Healthcare and Education

In healthcare settings, we’re combining conversational AI with advanced neural models to assist medical professionals. These robots collect patient information, offer guidance, and streamline administrative tasks—all while adhering to strict safety and privacy protocols.

Meanwhile, in education, our AI-driven teaching assistants provide personalised learning experiences.

These systems adapt to individual student needs and deliver real-time feedback, illustrating the power of combining rules-based logic with neural learning to create meaningful, impactful tools.


Looking Ahead

As we look to the future, we remain dedicated to pushing the limits of what conversational and rules-based AI can achieve.

Whether through improving accessibility, enhancing user experience, or expanding AI’s capabilities in robotics, our mission is clear: to lead the way in creating intelligent systems that seamlessly integrate into daily life, making the extraordinary possible.