Dark Peak Landscape

Dark Peak

Analytics

Delivering Bespoke Analytical Platforms for Decision Modelling.

Our Services

Health Economic Models

We develop bespoke decision models in R and C++, moving beyond the limitations of legacy spreadsheet software.

Model Modernization: Legacy Excel to R Shiny

We specialize in migrating legacy Excel models into script-based programming languages like R and C++, ensuring greater transparency, speed, and auditability.

Bespoke Software for HEOR

We deliver scalable, production-grade software solutions tailored to the unique rigors of health technology assessment.

R courses

Learn to build script-based decision models

Explore our comprehensive online short courses catalog designed to empower individuals and organizations with the skills to build, analyze, and collaborate on advanced decision models.

Explore COURSES
AARON RYAN

AARON RYAN

Senior Health Economist

"The course content was incredibly modern and relevant. It bridged the gap between theory and practice perfectly. Highly recommended for any health economist wanting to upskill."

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PRISO WILSON

Research Fellow, University of Sheffield

"This has been a great resource for learning precision decision models using R and Shiny. It allowed me to expand into new areas and offer better services."

AARON RYAN

AARON RYAN

Senior Health Economist

"The course content was incredibly modern and relevant. It bridged the gap between theory and practice perfectly. Highly recommended for any health economist wanting to upskill."

P

PRISO WILSON

Research Fellow, University of Sheffield

"This has been a great resource for learning precision decision models using R and Shiny. It allowed me to expand into new areas and offer better services."

STRUCTURED EXPERT ELICITATION PLATFORM

Create evidence from expertise

Advanced decision modeling requires reliable inputs. The SEE Platform provides a digital solution to capture, aggregate, visualize and report expert evidence, ensuring your models are built on a foundation of transparent, reproducible insight.

Task 2

Place 20 chips on the grid. The number of chips in each bin shows how likely you think the value is to be in that range.

Chips:20 / 20
0102030405060708090100
Percentage (%)

Trusted by experts across the sector

Dawn Lee

Dawn Lee

Associate Professor,

PenTAG, University of Exeter

"The R Shiny course was really useful for our team and catered well for attendees at all skill levels. We all left considerably more confident about building Shiny applications for decision models in R. Having the codebase and coursebook to keep after the course was invaluable as this allowed us to continue to build on the skills we learnt on the day."

Contact us

Whether you are looking to enhance your internal models, upskill your technical team, or develop bespoke HEOR software, we are ready to discuss your strategic objectives.

Please provide a few details regarding your requirements. An expert member of our senior leadership team will review your inquiry and reach out within two business days to arrange a technical briefing.