why choose Hopewiser?
As the first company to identify the potential of Addressing Solutions allied to Postal Address Data, our aims remain as straightforward and simple as in the beginning: to offer every client the best and most cost effective solution to their addressing requirement, including outstanding technical support and innovative development.
In 1982 Hopewiser became the first Royal Mail Value Added Reseller in the UK to provide Addressing Software, Bureau & Consultancy services based around the Royal Mail PAF (Postcode Address File).
Hopewiser designs and supplies an unrivalled suite of address software solutions to leading organisations worldwide. We supply all vertical markets throughout both public and private sectors on a range of computer hardware - from Mainframe through Mid-range (including Unix and Linux) to PC systems, Web and Cloud-based Solutions.
Ground Breaking Technology
Founded in 1982, we were the first to develop Addressing solutions software. We supply across a range of platforms from Cloud desktop and mobile solutions to integrated mainframe systems. Often imitated but rarely duplicated we continually work to improve, innovate and simplify our software for the very best user and most efficient experience.
As specialists in the field all our software is written in-house and is reliable, robust and scalable. Our customers regularly praise our support team for lightning speed service and problem solving capabilities.
You can download the software, buy your clicks and be up and running in minutes or you may want to tailor a solution to specific business requirements. We can help you every step of the way with personal service or a plug and go solution.
We often beat our competitors on price but if you find the equivalent software cheaper elsewhere then we guarantee to price match it.
what We Do
Hopewiser design and supply addressing software and solutions. Recognised as the most technically capable organisation within the addressing market, our solutions enable businesses to make informed decisions based on accurate data whilst saving substantially on costs.