




At Decision Risk Analytics, we develop stochastic modelling services designed for today's uncertain business environment. Our approach offers a clear pathway through the complexities of decision-making in a disruptive and volatile world.
We move beyond traditional single-point estimates to investigate the full range of possible outcomes and provide integrated views and insights into future business performance.
We are a small dedicated team working passionately to transform the foundation for important decisions from traditional single point estimates to coherent data-driven analyses based on probable ranges of pertinent input variables. In spite of being a small team, we cover a wide range of business experience and professional competences, ranging from management of offshore energy assets through business risk management, financial analysis, data science visualization to software architecture, design and coding. Our goal is to offer a blazing fast and innovative platform for simulation of business outcomes based on accessible, adaptable and affordable software solutions.
Morten Aagesen
Partner / CEO
Andreas Bloch
Partner / CTO
John Stringer
Partner / Math Wizard
Jens Ole Thomsen
Partner / Business Advisor
Responsiveness: We listen to our customers and act on their needs, prioritizing feedback and continuous improvement. In our work, we strive to achieve a good balance between modelling effort and problem-solving detail.
Collaborative Mindset: We promote an open, respectful collaboration with our clients, in our partnerships, and within our own team.
Passion: Above all, we feel proud and passionate about what we do - we love models!
Our software and services help organizations explore alternatives, assessing risks and uncertainties to make informed decisions in complex projects and value chains.
We've developed a blazing fast Monte Carlo simulation application, complemented by simple processes and services for easy integration into any project or business operation. Our data-driven modeling approach, focusing on ranges and probabilities instead of traditional deterministic assumptions, enables efficient and informed decision-making. Beyond predicting possible outcomes, this process also uncovers critical insights into uncertainties, value drivers and potential risks. Our services include training, support, independent evaluation, and validation, and we can tailor our services to meet specific compliance or other requirements.
Our approach is applicable across a broad spectrum of industries, accommodating various complexity levels, from straightforward business cases to comprehensive value chains involving sector couplings across multiple business interfaces.
We are proud to have worked on a variety of critical projects with recognized companies and organizations.
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