
AI foundation models for weather & Earth impact simulation.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Silurian — AI foundation models for weather & Earth impact simulation. Best for Energy utilities managing grid resilience against weather, Government agencies needing localized weather intelligence, Infrastructure operators with asset-level weather risk. Contact Sales pricing.
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Silurian delivers specialized, enterprise-grade weather AI for asset-heavy industries. Its custom GFT models beat generic forecasts for power grids and utilities, but lack of public pricing and self-service means it's only for organizations with dedicated data pipelines and budgets.
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Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
28 mentions across 2 sources (Hacker News, Lemmy).
How likely is Silurian to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Silurian AI builds tailored foundation models to simulate Earth's weather and its impact on infrastructure. Starting with high-resolution regional weather forecasts, the company customizes its Generative Forecasting Transformer (GFT) models on proprietary client data to maximize asset intelligence. Key features include rapidly refreshing AI-powered forecasts, 72-hour severe weather early warnings, and asset-level forecasting for utilities like power grids. Silurian's approach replaces slower numerical weather prediction with AI that learns from diverse data sources, enabling faster, localized outputs. The team includes co-creators of ClimaX and lead authors of the Aurora foundation model, positioning Silurian as a research-driven enterprise alternative to general-purpose weather APIs.
Silurian stands out by focusing on enterprise customization rather than a one-size-fits-all weather API. Its foundation models can ingest proprietary client data—like sensor feeds or grid topology—to produce forecasts tailored to specific assets. This is a genuine step beyond traditional NWP or off-the-shelf AI weather services. We'd reach for Silurian when you manage critical infrastructure (power lines, pipelines, ports) and need predictions that account for your unique local conditions. The 72-hour severe weather early warning and day-ahead rime-ice detection are concrete, validated outputs, especially for energy utilities facing ice storms or tropical cyclones. Where it bites: Silurian is not for casual weather checking or small operations. There's no public pricing, no self-service demo, and no free tier. You need a sales conversation and likely a sizable budget. Compared to IBM's Weather Company or Tomorrow.io, Silurian is more research-heavy and less productized—you get deeper customization but less hand-holding. Real-world validation with Hydro-Québec is strong, but the lack of third-party reviews or API docs means you'll need to trust their research pedigree. If you need weather AI built around your data and have the resources to co-develop, Silurian is a sharp choice. If you need instant access or broad coverage, look elsewhere.
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