47Billion

Enterprise digital products built around AI and data

47Billion is an AI-driven digital transformation company. It helps organisations build intelligent products, modernise operations, make more use of their data and put scalable AI solutions in place. Its skills span AI, analytics, product building and UX design, which it uses to help clients reach measurable results and sustained growth.

An agentic AI framework for operations

The company describes its approach as a strategy-first, human-focused transformation. Its agentic AI framework is set out as five core transformations that turn reactive operations into responsive, intelligent ones, with intelligence built into the business so that human decisions are supported by data-driven insight. The company offers agentic AI services as the way into this work.

Sectors served

According to the company, its clients are organisations in healthcare, financial services, sustainability, education, insurance, manufacturing and enterprise technology. The site groups its sector work into healthcare analytics and personalised health, lending and financial outcomes, traceability and resource conservation in sustainability, and AI-enhanced learning in education.

Healthcare, billing and analytics projects

Case studies describe a digital platform for a healthtech company that connects healthcare providers and patients, supporting appointment scheduling, patient interaction and telehealth services. Another project is a billing platform for a wireless service provider, which the company says streamlined billing and carries a customer retention figure of 98 percent. A third is an analytics and visualisation platform for a senior living advisory service with a network of 17,000 communities and home care providers, built to serve as the single source of sales and marketing figures.

Data engineering, UX and cloud architecture

The company says it designs user-centric interfaces that simplify complex workflows, delivers product solutions from concept to launch, and modernises cloud architecture so that data can support AI-driven decisions. Its published material covers intelligent automation, predictive analytics in healthcare, insurance claim management, data security challenges and the design sprint method.