LOGIC:The 'Subsurface-Geothermal' SaaS, by its nature, should command high gross margins (approx. 75%) once developed. Revenue streams will derive from enterprise-level annual subscriptions or per-project licenses for large residential developers, with pricing structured around project scale, data access tiers, and analytical features. Initial costs are heavily weighted towards R&D: acquiring high-resolution satellite thermal imagery, licensing specific geological datasets beyond public APIs, extensive API integrations with entities like CDRMS and BLM, and developing sophisticated predictive modeling algorithms. Operational costs for a lean, expert team in Denver are significant, primarily due to competitive tech and specialized engineering salaries (e.g., geoscientists, energy system engineers), which constitute the largest ongoing expense. Rent impact is 'Medium'; while a central Denver office can be costly ($30-$50/sq ft annually for 1,000-2,000 sq ft), a small software team can operate efficiently from more affordable suburban locations or co-working spaces. High-value data acquisition and continuous legal/consulting fees for navigating regulatory landscapes will also be substantial. The software's scalability means marginal cost per additional customer is low, allowing for high profitability once initial development and customer acquisition hurdles are overcome.