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The pain — Weather, alerts, asset GIS and market screens live in separate systems; quantifying exposure during a storm is manual and slow.

• Live wind, radar and ECCC alerts over your plants, lines and substations
• Capacity-at-risk (MW), exposed ≥230 kV substations and transmission-km in severe-alert zones — computed continuously
• 48-hour forecast timeline: scrub to the peak-gust hour and see risk before it arrives
• One-click AI briefing with redispatch, reserve, staging and import recommendations

Value — Fewer surprise outages, faster restoration, defensible pre-positioning decisions.

The pain — No common operating picture linking active warnings to the power infrastructure and the critical services that depend on it.

• Severity-coloured alert polygons with the grid failure mechanism spelled out (ice loading, galloping conductors, flooding)
• Critical facilities layer: hospitals, water works, wastewater plants, shelters, fire & police — and which are in the impact zone right now
• Worst-first ranked assets and affected-province summaries for briefings and mutual-aid requests
• Recovery sequencing: hospital feeders, water plants and shelters surfaced as explicit actions

Value — A shared, current picture for EOC activation, shelter readiness and restoration priority.

The pain — Climate-resilience and community-energy planning needs weather risk, grid assets and critical services together — usually three consultants and a year.

• See every hospital, water plant, shelter, fire hall and police station against live and forecast grid risk
• Generation, transmission and substation density around your community for energy-planning and siting
• Provincial price and carbon context for electrification, EV and district-energy business cases
• Exportable AI briefings as inputs to council reports and resilience plans

Value — Evidence-based resilience investment and faster, cheaper planning cycles.

The pain — Backup-power and treatment-continuity decisions are made without a live view of the grid threat to each facility.

• Hospitals and water/wastewater plants flagged the moment they fall inside high-gust or severe-alert zones
• Briefing actions: confirm generators, fuel-on-hand and transfer switches; avoid boil-water advisories and overflows
• 48-hour look-ahead so fuel and staffing can be arranged before the peak

Value — Protects patient safety and public health during grid stress events.

The pain — Grid-outage and business-interruption exposure is modelled coarsely; live event exposure is invisible.

• Event-time exposure: MW, substations, transmission-km and critical facilities inside each alert polygon
• Forecast-hour risk for early warning of large loss events
• A machine-readable briefing/impact API for exposure dashboards and claims triage

Value — Sharper event response, earlier reserving, better-priced grid-dependent risk.

The pain — Power availability, price, carbon and climate risk are evaluated separately, often on stale data.

• Existing data-centre footprint and nearby generation, transmission and substations
• Provincial price and carbon overlays for total-cost and ESG screening
• Live and forecast weather risk over candidate regions; alerts on facilities already in the impact zone

Value — Faster, better-defended site decisions for the largest new loads on the grid.

The pain — Resource, interconnection and market signal are assessed in separate studies; curtailment risk is an afterthought.

• Animated live wind field plus 48-hour forecast on the same map as transmission and substations
• Wind-farm cut-out insight: capacity sitting in ≥90 km/h gusts where turbines feather and output drops
• Provincial price and carbon to frame the business case

Value — Resource + grid access + market in one look, with weather-driven production risk made visible.

The pain — Their sites depend on the grid, but grid threat information arrives late and unlinked to their assets.

• Overlay any asset list on live grid risk to see which sites need backup power now
• Alert mechanisms and forecast timeline to plan generator deployment
• Shared picture with utilities and EMOs during joint events

Value — Keeps networks, fuel and transport moving when the grid is stressed.

The pain — Physical-climate and grid-resilience risk on energy assets is hard to see and harder to compare.

• Asset-level exposure to live and forecast weather, by generation type and province
• Carbon intensity and price context by province
• A repeatable, data-backed briefing format for due diligence and monitoring

Value — Better-informed capital allocation and transparent physical-risk reporting.

The pain — System-wide oversight and climate-grid research lack an integrated, current, national view.

• National inventory: 1,159 plants (144 GW), 132,410 km of ≥100 kV lines, 6,843 substations, refreshed from open sources
• Live weather-grid coupling with quantified impact — a ready base for resilience and hardening studies
• Provenance for every dataset (source and last refresh) shown in-app

Value — Evidence for policy, standards and resilience investment; a reproducible research substrate.