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ENGAGE
Ways to start, all free to begin.

We are not here to nickel and dime simple advice. Your first two hours are free, and the best first step costs you nothing. Pick whichever fits.

01 
A free lunch & learn

We come to your team and teach where natural capital value hides at your operation, and how the value-in-use lens finds it. No pitch, just the method.

02 
A free carbon lunch & learn

The Carbon Privilege Value lens for your team: your commodities, the double poverty tax, and what a carbon price really does to your book.

03 
A free Tusk value model

Through our work with Tusk, we build a single value model for one of your thickeners at no cost. The easiest way to see the method work on your numbers.

04 
Two free hours

A working diagnostic on your single best opportunity, at no charge. We would rather earn a long relationship than bill for simple advice.

05 
Ask me anything

Open office hours. Bring a question about water, tailings, carbon, or a number you cannot make sense of, and we will talk it through.

06 
Explore working together

Ready to go further? Tell us the problem and we will scope it with you, from a single system to a corporate portfolio.

Your first two hours are free. We would rather earn a long relationship than nickel and dime you for simple advice.
GET STARTED

Tell us what you would like modelled or talked through. We reply personally.

THE VALUE LADDER
1
Free lunch & learn

A session with your team on where natural capital value hides.​

2
LinkedIn & the blog

Follow the thinking, published open.

3
A free Tusk model

A real thickener model, so you see the method before you commit.

4
Two free hours

A working diagnostic on your best opportunity, at no charge.

5
The engagement

The workshop, then the value cases that prove it.

B² Natural Capital · Parker, Colorado USA

B² Natural Capital

value-in-use natural capital pricing

OPEN
CPV Index

Download data

The papers

B² Natural Capital  ·  Parker, Colorado USA  ·  Privacy Policy

Case-study and index figures shown here are early-stage and use vendor and author assumptions. We own the assumptions and claim only as far as the data goes.

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