More models, always
New interactive risk and decision models ship into the same platform library as the method expands.
Membership page
R-MAP is built to extend.
Membership is not just a content gate. It is the product architecture for protected models, versioned methods, deeper analytics, and new Knowledge Webs as the platform grows.
Brand and trust
A protected method with a visible standard.
Behind the R-MAP mark is a protected, versioned method — the same rigor applied consistently across every release. There's a clear line between what's open to prove the thinking and what's reserved for members, so you always see the standard before you commit to it.
Member value
Why the membership model works.
The commercial logic mirrors the product logic: show enough to build confidence, then protect and expand the full method.
Deeper analytics
Richer dashboards, scenarios, Monte Carlo tooling, and editable data studios for real decisions.
New Knowledge Webs
Self-paced curricula teach the methods behind analytics, economics, delivery, EHS, and risk modeling.
Governance and trust
Protected, versioned models with a clear access boundary and proof-of-method demos before commitment.
All-Access plans
One membership. The whole platform.
Every protected model, every Knowledge Web, and everything that ships next — one plan, cancel anytime from your billing portal.
All-Access — Monthly
$39 / month
The full library, billed monthly. Ideal for trialists and short, intense projects.
All-Access — Annual
$349 / year
Everything in monthly, about 25% lighter over the year. The plan most members choose.
The adaptive mindset
Theory tells you what should happen.
Membership shows you what happens to your numbers.
That difference is a working posture, not a feature list. Reactive teams read about methods after the event; adaptive teams keep live instruments loaded with their own data — registers imported, scenarios stressed, setups saved — so when conditions shift, the model is already running. Membership is how that posture stays current: every new model, scenario, and method lands in your library, ready for your next decision.
