Use Cases

Personalised Customer Research – ‘A trustless paradigm for responsible AI in the use of human data’

Distributed governance encourages societal participation. Our smart wallets empower customers to exchange a personalised profile in a fairer, safer and richer exchange.

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An elderly woman turns to smartphone AI for help.

Distributed governance encourages societal participation. Our smart wallets empower customers to exchange a personalised profile in a fairer, safer and richer exchange.

‘Personalised Customer Research’ represents a transformative white labelled SaaS Brand in the landscape of customer relationship management, focusing on the creation of a common, interoperable utility that serves as a bridge between private systems. This brand facilitates a Web3.0 pathway that is geared towards fostering a personalized relationship with customers, enabling extensible customer-centric services. Their innovation lies in their ability to bring about interoperability across different siloed systems, ensuring that various sectors, such as healthcare and international supply chains, benefit from secure, private, and efficient data exchanges. At the heart of their offering is a zero-trust interoperability infrastructure that can be implemented either on the cloud or on-premise, to bolster Responsible AI applications and improve accountability for businesses globally. This brand is carving out a niche for itself as a pioneer in providing enhanced compliance infrastructure that is essential for the digital transformation and cybersecurity of SMEs, delivering immediate ROI and reduced compliance overhead .

Key Benefits

‘Personalised Customer Research,’ offers a suite of services aiming to create a Web3.0 pathway that enhances customer relationships through a public utility framework. This framework operates as a ‘bridge’ between private profiles/digital twins, offering direct interoperability and extensibility across traditionally 3rd party siloed systems. The key benefits of this innovation revolve around its ability to facilitate customer-centric services by leveraging distributed ledger technology to build trust and enhance transparency within a business ecosystem. It supports various sectors such as Human Resources, Health Research, Supply Chain, and Digital Media, among others, by providing solutions tailored to address sector-specific challenges with responsible AI applications. A significant advantage lies in its zero-trust interoperability feature, which is accessible on the cloud or on-premise and underscores its core compliance infrastructure. Furthermore, it promises immediate ROI and reduction in compliance overhead for SMEs, indicating a streamlined approach for digital transformation with a focus on cybersecurity .

An elderly man turns to AI for help. The concept of digitalization of services for the older generation.

Applications

‘Personalised Customer Research’ offers applications across various sectors by leveraging a Web3.0 pathway to establish a personalized relationship with customers. In human resources, it offers an internal marketplace for FTE and contractors in the management of personnel with heightened focus on individual traits and requirements. The healthcare sector benefits from enhanced verification and privacy, ensuring interoperability among diverse stakeholders, leading to better patient-centered and self-managed services. Internationally, it supports supply chains through distributed governance, fostering a shared ownership system aimed at creating a sustainable freight ecosystem. In the energy sector, the application revolves around automated micro-energy trading, necessary to incentivize and unlock green industrial growth at scale. In each of these applications, the underlying theme is the facilitation of customer-centric services through interoperability, extensibility, and responsible AI applications, reflecting a trsutless paradigm/ecosystem for automation with compliance across various industries.

The KATLAS wallet system: acts as a universal interoperability layer, seamlessly integrating new data points and sensors from various systems. This is achieved by leveraging existing communication devices with proven low power consumption, such as routers and small computers such as Raspberry Pi Zero. The system guarantees dependable bandwidth, data quality, and connection stability, even in challenging environments.

“Katlas has a unique technology which can be used for responsible use of AI to enhance health research, education, space sustainability, and public services. Brunel University is delighted to work with Katlas to optimise its innovation.”

Dr Michael Joseph, Business Development Manager and RIEm Programme Lead, Brunel University London

The key benefits of this innovation revolve around its ability to facilitate customer-centric services by leveraging distributed ledger technology to build trust and enhance transparency within a business ecosystem.

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