We Build The Token Model That Lets You Lead Before The Market Forces You To React
Our models are built to catch what would break your token then show you how to compound its value.
Before GridEcon, our valuation models have been relied on by corporations like Stellantis and Embraer, reviewed by the World Bank, and scrutinized by regulators including Chile's Comisión para el Mercado Financiero. We hold every token model to that same standard before it reaches you.
We work with DePIN and Web3 protocols and founders ready to build that foundation from day one.
Select Clients and Experience
These are the Protocols that Moved First:
Token models break in predictable ways: emissions that outrun demand, unlock cliffs that dump sell pressure before the network can absorb it, incentives that attract mercenary capital instead of committed operators. Every engagement starts by finding which one applies.
Wingbits: Token economics support to help Wingbits test decisions before making them.
DAWN: An institutional-grade quantitative framework for protocol risk, stress-testing stablecoin vault returns across revenue scenarios. DAWN runs every scenario through it before it reaches depositors.
GEODNET: Independent analysis of GEODNET's DePIN governance and tokenomics, rigorous enough that the protocol cited it during its Coinbase listing. See here for full case study.
Laconic Network: A financial model that tests protocol revenue assumptions against the broader market opportunity. Laconic walked into mainnet launch with numbers that had already been pressure-tested.
Featured Insights
The same rigor, published for the field. What's actually breaking token models, and the frameworks that catch it in time.
Before you raise or launch, know exactly where every token goes. The Allocation Map gives you the clarity to know how your numbers hold up.
Contact Us
Whether you're designing a token model from the ground up or validating one before launch, I'd like to hear about it. Share a few details below and I'll follow up to find the right fit.