NOAA Technology Partnerships Office · May 2026
NOAA AOML and Silurian signed a CRADA to develop AI-driven tropical cyclone forecasting, build an ML-ready cyclone database, and improve the GFT model's tracking and intensity prediction.
Foundation models to simulate Earth, starting with weather.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Silurian AI builds foundation models to simulate the Earth system, starting with weather, and sells AI-driven forecasting products for energy, utilities, infrastructure, and government use cases.
Primary product
GFT (Generative Forecasting Transformer) weather / Earth forecasting API
Founded
2024
Headquarters
Kirkland, Washington, United States
Team size
10-20
Industry
Information Services
Sub-industry
Earth intelligence / weather forecasting foundation models
Offices
0 jobs at Silurian
Check back later for new openings
Business model
Stage
pre-seed
Total raised
$500K
Latest round
Convertible Note · Sep 2024
Latest amount
$500K
Sep 2024 · Y Combinator
Leadership
Chief Executive Officer / Co-Founder
Scientific Advisor / Co-Founder
Chief Engineer / Co-Founder
Chief Business Officer
Chief Strategy Officer
Founding Research Scientist
Founding Research Engineer
Founders
Co-Founder
Investors
Research-heavy, mission-driven, and small-team oriented, with a strong emphasis on scientists and engineers building frontier AI for the physical world and deploying it into high-stakes operational settings.
Visa sponsorship
No
Compensation
Public YC job posting listed $120K-$250K base pay and 0.25%-1.0% equity for a Machine Learning Research Engineer / Scientist role; public benefit details were not surfaced.
Pricing
Public pricing is not disclosed; the company appears to sell via API access and enterprise deployment / demo-led sales.
Differentiators
Technology
Customers
Competitors
Estimated revenue
about $0.5M-$2.5M ARR (public estimates cluster around ~$1M)
Estimated monthly visits
3.9K
Traffic estimate as of Jun 2026
NOAA Technology Partnerships Office · May 2026
NOAA AOML and Silurian signed a CRADA to develop AI-driven tropical cyclone forecasting, build an ML-ready cyclone database, and improve the GFT model's tracking and intensity prediction.
Silurian AI · Oct 2025
Silurian describes Hydro-Québec-backed GFT-HQ results for day-ahead rime-ice alerts, reporting 0.73 average precision versus a 0.37 climatology baseline and use cases in grid operations.
Silurian AI · Oct 2025
Silurian details how post-training GFT on utility sensor data improves power-grid forecasting metrics, including lower MAE for temperature, wind speed, and precipitation.
Silurian AI · Jun 2025
Silurian launched GFT-C as an operational hurricane forecasting API and announced an initial integration with Disaster Tech's PRATUS decision-support platform.
Silurian AI · May 2025
Silurian announced the Nature publication of Aurora and positioned it as the scientific basis for its GFT family, including weather, air quality, wave, and cyclone forecasting.