Own Energy Analytics AI.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Energy Analytics AI domain, logo, and brand guidelines
• ●Functional landing page with features, pricing, and ROI calculator
• ●Customer outreach playbook: email sequences, call scripts, case studies
• ●12-month financial model: pilot pipeline, conversion rates, CAC assumptions
• ●MVP technical spec: SCADA protocols, API design, multi-tenancy architecture
• ●Market research document: competitive positioning, feature gaps, sales blocking points
• ●Investor pitch deck and 3-year revenue projection model

What Roll Digital builds for you.

Custom scope to take Energy Analytics AI from MVP shell to operating business.

• ▸Production Python backend on FastAPI with Postgres for real-time SCADA data ingestion
• ▸Multi-protocol connectors for SMA, SolarEdge, ABB, GE, Siemens, and Huawei inverters
• ▸AWS infrastructure with auto-scaling, multi-tenancy, and environment-based routing
• ▸Customer dashboard: generation tracking, loss anomalies, ROI calculator, alerts
• ▸Admin console: tenant management, connector configuration, billing controls, reporting
• ▸Stripe subscription billing for pilot tiers and annual contracts
• ▸NERC CIP security hardening and API rate-limiting for data access
• ▸30-day customer success program covering onboarding and technical support

Why this could work.

The renewable energy sector has clear investment pressure: 2,400 independent power producers and major C&I operators need better performance monitoring. The buyer is economically motivated and identifiable - VP Operations justify ROI through measurable generation loss reduction. Pilot-to-contract motion is proven in adjacent software. Long sales cycles of 9-14 months are expected and manageable. If pilot conversion rates hold, market size supports sustainable unit economics.

What you'd risk.

Hardware fragmentation is expensive: SMA, SolarEdge, ABB, GE, Siemens, and Huawei all use different protocols. Each new customer likely requires a custom connector, slowing onboarding and increasing costs. Many prospects never close because IT security reviews reject third-party cloud access under NERC CIP policy. Incumbent bundling is real: GE Vernova and AVEVA already bundle monitoring dashboards. Buyers default to good enough vendor tools rather than adding separate AI layers.

Who this fits.

Best for SaaS founders with enterprise sales experience or energy insiders with warm relationships among asset operators. The 9-14 month sales cycles and SCADA integration complexity require technical depth and patience. Industry connections matter: those with existing relationships to VP Operations roles can compress timelines significantly. First-time founders without energy sector networks will struggle. Ideal: someone who understands both enterprise sales gatekeeping and renewable asset operations.

Timeline.

From contract signing to operating business.

1. Day 1
   Review financial model, GTM playbook, and brand positioning
2. Week 1
   Begin discovery calls with target VP Operations roles
3. Week 3
   Launch website and execute initial email outreach campaign
4. Week 6
   First customer engaged or adjust targeting strategy
5. Day 90
   Secure first pilot contract or validate GTM assumptions

Pricing.

Three ways in, depending on how much you want to build yourself.