Spire Global Launches Breakthrough AI Weather Models Built on NVIDIA Omniverse Blueprint for Earth-2
Spire Global (NYSE: SPIR) has launched two advanced AI weather models - AI-WX and AI-S2S - built on NVIDIA Omniverse Blueprint for Earth-2. The models leverage Spire's proprietary satellite data to provide medium-range forecasts up to 20 days (AI-WX) and sub-seasonal forecasts extending to 45 days (AI-S2S).
The AI-driven models run 1,000 times faster than traditional physics-based models and integrate data from Spire's satellite network, including atmospheric profiles, soil moisture readings, and ocean surface winds. Unlike traditional deterministic models, they provide probabilistic forecasts offering multiple possible weather outcomes.
Notable customers Freepoint Commodities and Dominion Energy are already utilizing these models to navigate market complexities and evaluate potential risks of extreme weather events. The models are particularly valuable for industries such as energy, utilities, and commodities that are vulnerable to weather-related disruptions.
Spire Global (NYSE: SPIR) ha lanciato due modelli meteorologici avanzati basati su AI - AI-WX e AI-S2S - costruiti su NVIDIA Omniverse Blueprint for Earth-2. I modelli sfruttano i dati satellitari proprietari di Spire per fornire previsioni a medio termine fino a 20 giorni (AI-WX) e previsioni sub-stagionali che si estendono fino a 45 giorni (AI-S2S).
I modelli guidati dall'AI funzionano 1.000 volte più velocemente rispetto ai modelli tradizionali basati sulla fisica e integrano dati dalla rete satellitare di Spire, inclusi profili atmosferici, letture dell'umidità del suolo e venti superficiali oceanici. A differenza dei modelli deterministici tradizionali, forniscono previsioni probabilistiche che offrono molteplici possibili esiti meteorologici.
I clienti notevoli Freepoint Commodities e Dominion Energy stanno già utilizzando questi modelli per orientarsi nelle complessità del mercato e valutare i potenziali rischi di eventi meteorologici estremi. I modelli sono particolarmente preziosi per settori come energia, servizi pubblici e materie prime, che sono vulnerabili a interruzioni legate al clima.
Spire Global (NYSE: SPIR) ha lanzado dos modelos meteorológicos avanzados basados en IA: AI-WX y AI-S2S, construidos sobre NVIDIA Omniverse Blueprint for Earth-2. Los modelos aprovechan los datos satelitales patentados de Spire para proporcionar pronósticos a medio plazo de hasta 20 días (AI-WX) y pronósticos subestacionales que se extienden hasta 45 días (AI-S2S).
Los modelos impulsados por IA funcionan 1,000 veces más rápido que los modelos tradicionales basados en física e integran datos de la red de satélites de Spire, incluidos perfiles atmosféricos, lecturas de humedad del suelo y vientos en la superficie del océano. A diferencia de los modelos deterministas tradicionales, ofrecen pronósticos probabilísticos que proporcionan múltiples resultados meteorológicos posibles.
Clientes destacados como Freepoint Commodities y Dominion Energy ya están utilizando estos modelos para navegar por las complejidades del mercado y evaluar los riesgos potenciales de eventos meteorológicos extremos. Los modelos son especialmente valiosos para industrias como la energía, los servicios públicos y las materias primas, que son vulnerables a interrupciones relacionadas con el clima.
스파이어 글로벌 (NYSE: SPIR)이 NVIDIA Omniverse Blueprint for Earth-2를 기반으로 하는 두 가지 고급 AI 기상 모델 - AI-WX 및 AI-S2S를 출시했습니다. 이 모델은 스파이어의 독점 위성 데이터를 활용하여 최대 20일(AI-WX) 및 최대 45일(AI-S2S)의 중기 예보를 제공합니다.
AI 기반 모델은 전통적인 물리학 기반 모델보다 1,000배 더 빠르게 작동하며, 스파이어의 위성 네트워크에서 수집한 대기 프로필, 토양 수분 측정 및 해양 표면 바람 데이터를 통합합니다. 전통적인 결정론적 모델과는 달리, 이들은 여러 가능한 기상 결과를 제공하는 확률적 예보를 제공합니다.
주요 고객인 프리포인트 커머디티스 및 도미니언 에너지는 이미 이러한 모델을 활용하여 시장의 복잡성을 탐색하고 극단적인 기상 사건의 잠재적 위험을 평가하고 있습니다. 이 모델은 기상 관련 중단에 취약한 에너지, 유틸리티 및 원자재와 같은 산업에 특히 가치가 있습니다.
Spire Global (NYSE: SPIR) a lancé deux modèles météorologiques avancés basés sur l'IA - AI-WX et AI-S2S - construits sur NVIDIA Omniverse Blueprint for Earth-2. Ces modèles tirent parti des données satellitaires propriétaires de Spire pour fournir des prévisions à moyen terme allant jusqu'à 20 jours (AI-WX) et des prévisions sub-saisonnières s'étendant jusqu'à 45 jours (AI-S2S).
Les modèles pilotés par l'IA fonctionnent 1 000 fois plus vite que les modèles traditionnels basés sur la physique et intègrent des données provenant du réseau de satellites de Spire, y compris des profils atmosphériques, des mesures d'humidité du sol et des vents de surface océaniques. Contrairement aux modèles déterministes traditionnels, ils fournissent des prévisions probabilistes offrant plusieurs résultats météorologiques possibles.
Des clients notables tels que Freepoint Commodities et Dominion Energy utilisent déjà ces modèles pour naviguer dans les complexités du marché et évaluer les risques potentiels d'événements météorologiques extrêmes. Ces modèles sont particulièrement précieux pour des secteurs tels que l'énergie, les services publics et les matières premières, qui sont vulnérables aux perturbations liées aux conditions météorologiques.
Spire Global (NYSE: SPIR) hat zwei fortschrittliche KI-Wettermodelle - AI-WX und AI-S2S - auf Grundlage von NVIDIA Omniverse Blueprint for Earth-2 eingeführt. Die Modelle nutzen die proprietären Satellitendaten von Spire, um mittelfristige Vorhersagen von bis zu 20 Tagen (AI-WX) und sub-saisonale Vorhersagen von bis zu 45 Tagen (AI-S2S) bereitzustellen.
Die KI-gesteuerten Modelle arbeiten 1.000 Mal schneller als traditionelle physikbasierte Modelle und integrieren Daten aus Spires Satellitennetzwerk, einschließlich atmosphärischer Profile, Bodenfeuchtemessungen und Oberflächenwinde der Ozeane. Im Gegensatz zu traditionellen deterministischen Modellen bieten sie probabilistische Vorhersagen, die mehrere mögliche Wetterausgänge liefern.
Bemerkenswerte Kunden wie Freepoint Commodities und Dominion Energy nutzen diese Modelle bereits, um sich in den Marktkomplexitäten zurechtzufinden und potenzielle Risiken extremer Wetterereignisse zu bewerten. Die Modelle sind besonders wertvoll für Branchen wie Energie, Versorgungsunternehmen und Rohstoffe, die anfällig für wetterbedingte Störungen sind.
- Launch of advanced AI weather models that are 1,000x faster than traditional models
- Secured major clients including Freepoint Commodities and Dominion Energy
- Proprietary technology integration with NVIDIA's platform enhancing competitive advantage
- Extended forecast capabilities up to 45 days providing unique market positioning
- None.
Insights
Spire Global's launch of AI-WX and AI-S2S weather models represents a significant product advancement that could materially impact the company's competitive position and revenue potential. These AI-driven models deliver 1,000x speed improvements over traditional physics-based approaches while extending forecast capabilities to 45 days – addressing critical needs for industries where weather disruptions cause major financial impacts.
The commercial traction is particularly noteworthy, with established customers like Freepoint Commodities and Dominion Energy already implementing these solutions. For a company with a
By building on NVIDIA's Omniverse Blueprint for Earth-2, Spire is positioning its proprietary satellite data as a valuable differentiator in the expanding climate intelligence market. The probabilistic forecasting approach (providing ranges of outcomes rather than single predictions) creates additional value for risk management applications across multiple sectors.
This launch aligns perfectly with increasing market demand for advanced weather intelligence as climate variability intensifies. For a space-based data and analytics provider like Spire, successfully commercializing their satellite network data through AI applications significantly strengthens their product portfolio and potentially expands their addressable market.
Spire's new AI weather models represent an architectural breakthrough in computational meteorology by achieving 1,000x acceleration compared to traditional physics-based models. This isn't merely an incremental improvement but a paradigm shift that fundamentally changes what's possible in medium and sub-seasonal forecasting.
The technical innovation lies in how Spire has integrated their proprietary satellite data – atmospheric profiles, soil moisture readings, and ocean surface winds – with NVIDIA's GPU acceleration and Omniverse framework. This creates a technology moat through both unique data inputs and computational methodology.
Most significant is the shift from deterministic to probabilistic forecasting. Rather than producing single-point predictions (which become less reliable beyond 7-10 days), Spire's ensemble approach provides statistical distributions of possible outcomes – a far more valuable approach for downstream decision-making, especially for industries where weather impacts operations.
The application of AI to this domain is strategically important as traditional numerical weather prediction hits computational ceilings. By processing vast satellite datasets through advanced machine learning techniques, Spire can potentially identify patterns and correlations that physics-based models might miss, particularly in capturing extreme event probabilities that matter most to commercial customers.
This technology positions Spire at the intersection of three high-growth markets: satellite data, climate technology, and applied AI – potentially creating new monetization opportunities beyond their current business model.
- Enriched with proprietary satellite data, Spire’s AI-driven models deliver medium-range and sub-seasonal forecasts out to 45 days
- Accelerated by NVIDIA GPUs, Spire’s AI models run 1,000 times faster than traditional physics-based models, enabling large ensemble forecasts that capture the full range of possible weather outcomes
AI-WX and AI-S2S offer comprehensive weather forecasting capabilities, with AI-WX providing up to 20-day forecasts and AI-S2S extending up to 45 days. Built on Spire’s proprietary data assimilation techniques, these models integrate data from Spire’s extensive satellite network, including atmospheric profiles, soil moisture readings, and ocean surface winds. Differing from traditional deterministic models, the models provide probabilistic forecasts, offering a range of possible weather outcomes rather than a single prediction. Customers including Freepoint Commodities and Dominion Energy are using these new products to navigate market complexities with enhanced precision and to evaluate potential risks and likelihood of extreme weather events.
“At Freepoint Commodities, staying ahead isn't just about innovation—it’s about having an edge in an ever-changing market,” said a spokesperson from Freepoint Commodities. “This collaboration with Spire Global represents a major leap forward in weather intelligence for commodity trading. By combining NVIDIA’s advanced computing power with Spire’s proprietary satellite data, our traders now have the tools to help anticipate market shifts faster, and with increasing accuracy.”
As climate variability intensifies, leading to more frequent and severe weather events, the demand for more advanced and accurate forecasting capabilities is increasing. Industries such as energy and commodities are particularly vulnerable to the impacts of unexpected weather changes, which can disrupt operations and inflate costs dramatically. Spire’s new AI models provide detailed insights that enable companies to anticipate and effectively respond to weather disruptions.
"By harnessing the computational power of NVIDIA GPUs paired with the unique space-based data from our satellite network, we have developed AI-driven models that transform how industries manage weather risks," said Michael Eilts, general manager of weather and climate at Spire. "These models not only predict weather events with unprecedented accuracy, but they also enhance our understanding of weather, enabling energy providers and commodity trading firms to optimize operations and increase both efficiency and profitability in the face of unpredictable weather patterns."
“With Spire’s cutting-edge advancements in AI weather modeling, we can anticipate weather impacts further in advance, enabling more precise and strategic risk management for both immediate and long-term weather patterns,” said Jeff Mock, lead meteorologist at Dominion Energy. “This heightened foresight is crucial for strengthening resilience against adverse weather, safeguarding critical services, and ensuring operational continuity. By harnessing Spire's advanced forecasting tools and exclusive data sets, we are able to enhance efficiency and minimize disruptions for communities facing the impact of extreme weather.”
Previously, Spire collaborated with NVIDIA to integrate Spire’s Radio Occultation data and proprietary data assimilation capabilities with NVIDIA Earth–2 Cloud APIs, setting the foundation for the new models announced today.
Learn more about Spire's AI Ensemble Weather Model and Sub-Seasonal AI Model here.
About Spire Global, Inc.
Spire (NYSE: SPIR) is a global provider of space-based data, analytics and space services, offering unique datasets and powerful insights about Earth so that organizations can make decisions with confidence in a rapidly changing world. Spire builds, owns, and operates a fully deployed satellite constellation that observes the Earth in real time using radio frequency technology. The data acquired by Spire’s satellites provides global weather intelligence, ship and plane movements, and spoofing and jamming detection to better predict how their patterns impact economies, global security, business operations and the environment. Spire also offers Space as a Service solutions that empower customers to leverage its established infrastructure to put their business in space. Spire has nine offices across the
Forward Looking Statements
This press release contains forward-looking statements, including information regarding management's view of Spire’s future expectations, plans and prospects, including our views regarding future execution within our business, and the opportunity we see in our industry, within the safe harbor provisions under The Private Securities Litigation Reform Act of 1995. These statements involve known and unknown risks, uncertainties and other factors which may cause the results of Spire to be materially different than those expressed or implied in such statements. Certain of these risk factors and others are included in documents Spire files with the Securities and Exchange Commission, including but not limited to, Spire’s Annual Report on Form 10-K for the year ended December 31, 2023, as well as subsequent reports filed with the Securities and Exchange Commission. Other unknown or unpredictable factors also could have material adverse effects on Spire’s future results. The forward-looking statements included in this press release are made only as of the date hereof. Spire cannot guarantee future results, levels of activity, performance or achievements. Accordingly, you should not place undue reliance on these forward-looking statements. Finally, Spire expressly disclaims any intent or obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.
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Media Contacts
For Media:
Sarah Freeman
Senior Communications Manager
Comms@spire.com
For Investors:
Benjamin Hackman
Head of Investor Relations
Benjamin.Hackman@spire.com
Source: Spire Global, Inc.
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