AI systems that turnenergy data into decisions
We help energy teams synthesize resource, grid, environmental, and operational data into a single decision stack. Move from raw layers to defensible choices with confidence.
Decision stack
From resource to compliance
18+ dataset families
Harmonize NSRDB, 3DEP, ordinances, and grid layers into one decision model.
Compliance-first outputs
Generate setback matrices, flood constraints, and agency summaries as part of every screening pass.
4-6 weeks
Audit + pipeline
2-3 sprints
Model iteration
Ongoing
Decision support
The decision stack, phase by phase
Each stage of energy development has different data gravity. Our AI workflows are mapped to the phases that matter most to multi‑disciplinary teams.
Portfolio Screening
Shortlist high-probability assets by intersecting resource, land use, and grid proximity signals.
Core datasets
- NSRDB PSM v4 (5-minute irradiance)
- NLCD land cover
- HIFLD transmission corridors
- USPVDB existing solar footprints
AI workflows
- Constraint-aware asset ranking
- Interconnection proximity scoring
- Competitive saturation mapping
Data audit across the energy stack
The data landscape is shifting quickly from static, coarse layers to high-fidelity and frequently updated sources. We help teams build a living atlas that stays current.
Resource & Weather
High-frequency resource, temperature, and wind signals for yield and storage modeling.
Sources
AI applications
- Yield probability modeling
- Ramp-rate risk detection
- Storage sizing scenarios
Hydrology & Flood Risk
Map stream setbacks, floodways, and wetland constraints with regulatory and physical layers.
Sources
AI applications
- Buffer automation
- Flood risk scoring
- Hydrology-aware layouts
Grid & Interconnection
Combine line topology, substation voltage, and existing generation density to infer capacity risk.
Sources
AI applications
- POI selection
- Congestion forecasting
- Queue triage
Terrain & Constructability
Slope, aspect, and flow accumulation analysis to control grading and tracker constraints.
Sources
AI applications
- Slope filtering
- Civil cost modeling
- Layout viability checks
Load & Market Signals
Understand demand patterns and market pressure that shape grid and asset strategy.
Sources
AI applications
- Load pattern analysis
- Peak demand forecasting
- Market risk scoring
Regulatory & Zoning
Translate ordinance text into machine-readable setbacks, bans, and permit requirements.
Sources
AI applications
- Automated zoning extraction
- Permit readiness scoring
- Moratorium alerts
Land Use & Ecology
Combine land cover, vegetation height, habitat, and protected lands into exclusion masks.
Sources
AI applications
- Exclusion mapping
- Biodiversity risk scoring
- Visual impact analysis
Cadastre & Ownership
Normalize parcel ownership, acreage, and land use codes for acquisition strategy.
Sources
AI applications
- Owner outreach targeting
- Assembly prioritization
- Lease option forecasting
Logistics & Access
Route heavy equipment with freight network and bridge constraints before mobilization.
Sources
AI applications
- Access feasibility scoring
- Heavy-haul route planning
- Construction schedule risk
Asset Operations
Monitor assets, maintenance windows, and reliability risks across fleets.
Sources
AI applications
- Anomaly detection
- Failure mode prediction
- Reliability benchmarking
Signal audit
Feasibility stack · Fidelity benchmarks · OutcomesFaster screening and planning
Automated constraint stacking reduces manual GIS cycles and keeps teams focused on high-probability opportunities.
Lower interconnection surprises
Queue and substation intelligence de-risks capital planning and improves POI selection confidence.
Audit-ready documentation
AI-generated constraint matrices and narratives accelerate agency coordination and internal approvals.
Education-first adoption
Teams learn how to evaluate models, set expectations, and evolve workflows as AI changes.
Ready to operationalize your energy data stack?
We deliver AI workflows that connect planning, interconnection, and compliance so your teams move faster with higher confidence.