PDC delivers business critical IT solutions for Resource Planning and Scheduling in complex Industries.
PDC is a 100% Danish-owned, high-tech software house with the stated goal:
- To be at the forefront internationally in the development of knowledge based systems, expert systems and logic programming;
- Applying this technology to practical applications with our customers, providing tangible benefits, often closely integrated with other computer technologies.
Today, we deliver business critical solutions for Resource Planning and Optimisation in complex, people focused industries. For 30 years, businesses in Denmark and across the World have relied on PDC’s unique knowledge based technology to deploy rules and AI methods for optimizing efficient Decision Support.
In Aviation, Healthcare, Emergency Services, Broadcasting, Retail, Postal and Security Services – the businesses that keep the World running are powered by PDC.
Decision Support from the bottom up
PDC develops Visual Prolog® which is a high level programming language with its roots in the logical programming language, Prolog. The Prolog language gives a strong advantage in implementing smart declarative models, doing rule based planning or using heuristics and constraints to solve problems.
Visual Prolog® is used for e.g. AI, mathematical optimization, expert systems and includes the best features of logical, functional, object-oriented and parallel programming paradigms.
Our Most Valuable Tool
Visual Prolog® is focused at being the foundation for PDC’s applications. Firstly, it is a fast and safe programming platform, that fits into the various modern connected and layered IT architectures. Secondly, it is the ideal tool for solving problems needed in planning applications with optimisation, plan generation, problem solving and more.
Through time, Visual Prolog® has moved from being the 1st Prolog compiler in the world to be the most extensively used commercial Prolog compiler.
We Do Intelligent Planning
Since the foundation of PDC A/S 30 years ago, we strive to solve complex planning issues.
By combining the best features of logical and object oriented programming paradigms, we are able to solve specific tasks that benefit from rule based logical queries such as searching databases, automated planning and more. By using heuristic search and constraints, we can solve the most complex planning tasks, when no obvious solution is to be found.