Snow intelligence — worldwide
Machine learning trained on seven weather models, satellite data, decades of history, and verified resort ground truth. Distributed AI-natively via MCP to every major AI assistant travelers use to plan ski trips.
Claude · ChatGPT · Grok · Gemini · Perplexity · Copilot — and any MCP-aware agent in the world.
The bigger picture
Last Northern Hemisphere winter in review, plus what's happening across the network right now — all from SnowSure intelligence.
Intelligence at scale
We don't run our own atmospheric model. We combine the world's best — seven numerical weather prediction models, satellite snow cover, ground-truth from SNOTEL and international equivalents, decades of resort × forecast archive, and verified attestations from snow safety teams at the resorts themselves.
Then we learn from it. SnowSure ML measures which forecasts were wrong, by region and by resort, and adjusts. The result: forecast trust grades, microclimate signatures, storm-pattern matching, and a 0–100 snow quality score no aggregator can produce.
Per resort, every hour. Disagreements between models surfaced; consensus signed and published.
Decades of every model's forecast measured against verified snowfall at every resort. This is what makes forecast trust grades possible — no other vendor has the archive depth.
National weather services, SNOTEL and international equivalents (CR2, NIWA, BOM, MeteoSchweiz), satellite snow cover (NASA MODIS, ESA Sentinel), resort webcams analysed by vision models, ski-patrol attestations.
SnowSure ML · Beta
SnowSure ML weights our seven numerical weather prediction models using verified ground truth — SNOTEL stations, resort attestations, and historical forecast verification.
Currently shadow-run for days 8–14 of the forecast horizon. Published as a separate signal alongside the consensus — never blended into the seven-model average.
Built-in AI
Resorts, developers, and press questions — answered from how Snowdata actually works. Powered by the same stack we recommend for production agents.
Ask about resorts, MCP, or live snow in the network.
powered by snowdata
Verified ground truth
Weather models predict. Satellites see snow cover. SNOTEL is sparse. Resort snow safety teams measure — at the snow stake, this morning.
We combine your verified data with everything else into the intelligence layer travelers' AI assistants reach for first. Your data shows up in AI answers with proper attribution. Your resort is found wherever travelers look.
How resorts contribute →AI-native distribution
When a traveler asks an AI assistant about snow conditions, powder, or where to ski this weekend, the answer comes from Snowdata. Resorts that contribute their data appear in answers across every major assistant, with full attribution, automatically.
Native MCP integration. Install in 30 seconds.
Custom GPT — Ski Conditions — backed by the Snowdata MCP.
Connector ships with the X integration.
Agent connector via the Vertex AI ecosystem.
Knowledge source for ski-related queries.
Any MCP-aware agent — one config line.
For developers
Plug Snowdata into Claude, ChatGPT, Grok, Gemini, Perplexity, Copilot, Cursor, or any MCP-aware agent. Verified snow intelligence in under thirty seconds. Free read tier.
Developer docs →
{
"mcpServers": {
"snowdata": {
"url": "https://mcp.snowdata.ai"
}
}
}Snowdata Answer Engine · Live
Snowdata Answer Engine learns continuously from every question. Resorts see the most frequent visitor questions in their admin dashboard, approve strong answers, and add official FAQs in English, Spanish, French, German, and Italian — improvements apply on the next ask. Snowfall and scores always come from verified Snowdata. Approved Q&A also feeds periodic fine-tunes so the voice gets sharper over time. Simple questions answer in about a second; the engine gets smarter every week operators use it.
The AI is a writer, not the source of truth. If the data isn't there, the engine says so.
EN · ES · FR · DE · IT — Five languages supported
Answers come from a verified evidence pack — not the model's imagination. If data is missing, the engine says so.
Seven weather models, 30-year history, SNOTEL ground truth, SnowSure scores. Not scraped marketing copy.
Embed on your resort site. Visitor questions logged and attributed for monthly analytics.
Resort admins approve answers and add FAQs in five languages. Improvements apply on the next ask.
Simple factual queries answer in ~1–2 seconds without a full AI call.
For resorts
In the Google era, SEO got travelers to your website. In the AI era, your resort needs to be the answer when travelers ask their assistants for snow. Snowdata is the layer that makes that happen.
Your verified data is what powers AI assistant answers about your resort. Not stale scrapes. Not someone else's framing.
Auto-generated daily social cards, comparative content, embeddable live widgets — all in your brand voice.
See how often your resort is cited by Claude, ChatGPT, Grok, Gemini, Perplexity. Competitive intelligence at AI scale.
Where we sit
0–100 scale · best among open resorts today
Matterhorn Ski Paradise
Europe · Switzerland
Timberline Lodge
North America · United States
Mt Hutt
Oceania · New Zealand
Valle Nevado
South America · Chile
Top open resorts by 24h snowfall.
Top open resorts by blended 7-model 14-day snowfall total.
Last NH winter
Grandvalira — 2026-04-02
Verified against SNOTEL, national weather services, and resort attestations.
Whistler Blackcomb — 27 days ≥6 cm (24h).
Northern Hemisphere winter (Sep–May) · verified powder days ≥6 cm / 24h.
Verified season snowfall totals vs five-year rolling average for the same region.
Live across the network
38 SH resorts in season per SnowSure season dates and operational status.
Resorts currently in season across the SnowSure network.
0–100 scale · best among open resorts today
Composite of current depth, recent snow, forecast outlook, and surface conditions.
Top open resorts by 24h snowfall.
Verified 24h snowfall across open resorts in the network.
6 cards · 6 live from the SnowSure Intelligence API · Updated Jul 18, 2026, 5:53 PM UTC. Cached ~60s server-side.