An early-stage AI co-pilot startup needed to sharpen its business model, optimize pricing, and build a capital-raise narrative grounded in usage-based economics and investor-grade unit metrics. It lacked a clear mapping of economic value to product usage and had no investor-ready financial documentation.
QuantFi built a scalable, capital-efficient business model defining 'problem-to-cash' pathways and a hybrid pricing structure (subscription plus tokenized usage). The model captured CAC, margin by usage tier, LTV sensitivity to prompt frequency, and infrastructure scaling costs, and supported investor conversations with an ROI narrative and scenario-based valuation frameworks.
Working from usage economics, the team designed token-based pricing, modeled multiple capital-raise scenarios, and equipped founders to defend pricing and unit economics in fundraising conversations.
Pre-launch or early-stage software startups that need investor-grade unit economics and usage-based pricing ahead of a capital raise.

The startup worked with financial-modeling experts who turned its usage economics into an investor-grade model in under three weeks, designing hybrid subscription-plus-token pricing and modeling 5+ capital-raise scenarios covering CAC, margin by usage tier, LTV, and infrastructure costs.
The experts defined 'problem-to-cash' pathways and a hybrid subscription-plus-token pricing structure, then built scenario-based valuation frameworks and an ROI narrative to support investor conversations.
An investor-grade financial model delivered in under three weeks, 5+ capital-raise scenarios modeled, and a token-based pricing structure adopted pre-launch and framed as a fundraising strength.
Under three weeks - in the under-4-weeks range.
Pre-launch or early-stage software startups that need investor-grade unit economics and usage-based pricing ahead of a capital raise.