Your pre-sale economics are broken. Energy Pilot AI turns portfolio triage, energy forecasting, and proposal generation from a $20K bottleneck into a same-day workflow.
Performance contracts require defensible savings estimates before ink hits paper. That means engineering hours, site visits, utility data collection, and simulation runs — all before you know whether the project will proceed.
At a 25–35% win rate, three out of four pre-sale investments generate zero revenue. And the opportunities you can't justify screening? Those never enter the pipeline at all.
The bottleneck isn't demand. It's your ability to evaluate opportunities fast enough to act on them.
Energy Pilot AI replaces weeks of engineering analysis with an AI-powered pipeline from portfolio scoring through proposal delivery and on-site audit.
Upload 200–500 target buildings. Every one is auto-scored and ranked by retrofit potential. Focus your engineering resources on the highest-value targets.
ML-calibrated energy baselines from as little as an address. Model ECM scenarios, generate branded proposals with savings, incentives, and confidence intervals.
Digital audit forms that capture equipment data, photos, and observations in a structured format. Data flows directly back into Studio for refined forecasts.
200 target buildings from your pipeline — addresses, square footage, building type.
Every building scored by retrofit potential. Top 40 flagged as high-opportunity.
Top 10 buildings modeled with HVAC, lighting, and controls scenarios.
Branded PDFs with savings breakdown, incentive analysis, and confidence intervals.
| Metric | Today | With Energy Pilot AI |
|---|---|---|
| Buildings screened / month | 5–10 | 500+ |
| Pre-sale cost / opportunity | $15–25K | <$500 |
| Time to proposal | 8–12 weeks | Same day |
| Qualified pipeline | Capacity-constrained | 3–5x larger |
| Engineering hours on screening | 60–80% of pre-sale | Near zero |
| Mid-market projects | Often not viable | Now viable |
Illustrative figures based on industry benchmarks and pilot data.
Send us 50–200 buildings from your current pipeline. We'll score and rank every one, model the top targets, and show you a sample proposal — all before the demo is over.
Schedule a Demo →