Palantir and Rio Tinto Renew Enterprise Contract and Extend Access to Palantir鈥檚 AI Platform
Palantir Technologies has renewed its multi-year enterprise agreement with Rio Tinto Group for an additional 4 years, extending access to Palantir's AI Platform (AIP). As an early Foundry adopter, Rio Tinto leverages the platform's digital twin capability for various operations, including managing unmanned trains and monitoring geotechnical risks.
In Western Australia, the system coordinates 53 driverless trains carrying iron ore, while in Mongolia, it manages risk at the Oyu Tolgoi mine. The Foundry Ontology integrates data from thousands of sensors, providing a unified view of operations and enabling AI-driven solutions for risk identification, asset management, and supply chain processes.
Palantir Technologies ha rinnovato il suo contratto aziendale pluriennale con il Rio Tinto Group per altri 4 anni, estendendo l'accesso alla piattaforma di intelligenza artificiale di Palantir (AIP). Come uno dei primi adottanti di Foundry, Rio Tinto sfrutta le capacit脿 di digital twin della piattaforma per varie operazioni, tra cui la gestione dei treni senza conducente e il monitoraggio dei rischi geotecnici.
In Australia Occidentale, il sistema coordina 53 treni autonomi che trasportano minerale di ferro, mentre in Mongolia gestisce i rischi presso la miniera di Oyu Tolgoi. L'ontologia di Foundry integra dati provenienti da migliaia di sensori, fornendo una visione unificata delle operazioni e abilitando soluzioni guidate dall'IA per l'identificazione dei rischi, la gestione degli asset e i processi della catena di approvvigionamento.
Palantir Technologies ha renovado su acuerdo empresarial por varios a帽os con el Rio Tinto Group por 4 a帽os adicionales, extendiendo as铆 el acceso a la Plataforma de IA de Palantir (AIP). Como uno de los primeros adoptantes de Foundry, Rio Tinto aprovecha la capacidad de gemelo digital de la plataforma para diversas operaciones, incluyendo la gesti贸n de trenes sin conductor y el monitoreo de riesgos geot茅cnicos.
En Australia Occidental, el sistema coordina 53 trenes aut贸nomos que transportan mineral de hierro, mientras que en Mongolia gestiona los riesgos en la mina Oyu Tolgoi. La Ontolog铆a de Foundry integra datos de miles de sensores, proporcionando una visi贸n unificada de las operaciones y habilitando soluciones impulsadas por IA para la identificaci贸n de riesgos, la gesti贸n de activos y los procesos de la cadena de suministro.
韺旊瀫韹办柎 韰岉伂雴搿滌鞀电 毽槫 韹错啝 攴鸽9瓿检潣 雼る厔臧 旮办梾 瓿勳暯鞚 4雲 於旉皜 鞐办灔頄堨姷雼堧嫟. 鞚措ゼ 韱淀暣 韺旊瀫韹办柎鞚 AI 頂岆灚韽(AIP)鞐 雽頃 鞝戧芳鞚 瓿勳啀霅╇媹雼. 齑堦赴 Foundry 鞗愳箼 靷毄鞛愲靹 毽槫 韹错啝电 頂岆灚韽检潣 霐旍韯 韸胳湀 旮半姤鞚 頇滌毄頃橃棳 氍挫澑 旮办皑 甏毽 氚 歆歆堩暀鞝 鞙勴棙 氇媹韯半 霌 雼れ枒頃 鞛戩梾鞚 靾橅枆頃╇媹雼.
靹滍樃欤检棎靹湹鐢 鞚 鞁滌姢韰滌澊 觳犼磻靹濎潉 鞖措皹頃樀鐢 53臧滌潣 氍挫澑 旮办皑毳 臁办爼頃橁碃, 氇疥敞鞐愳劀电 Oyu Tolgoi 甏戩偘鞚 鞙勴棙鞚 甏毽暕雼堧嫟. Foundry 鞓啫搿滌电 靾橃矞 臧滌潣 靹检劀鞐愳劀 雿办澊韯半ゼ 韱淀暕頃橃棳 鞖挫榿鞐 雽頃 韱淀暕霅 敕半ゼ 鞝滉车頃橁碃, 鞙勴棙 鞁濍硠, 鞛愳偘 甏毽 氚 瓿店笁毵 頂勲靹胳姢毳 鞙勴暅 AI 旮半皹 靻旊(靺橃潉 臧電ロ晿瓴 頃╇媹雼.
Palantir Technologies a renouvel茅 son accord d'entreprise pluriannuel avec le Rio Tinto Group pour une dur茅e suppl茅mentaire de 4 ans, prolongeant ainsi l'acc猫s 脿 la plateforme d'IA de Palantir (AIP). En tant que premier utilisateur de Foundry, Rio Tinto exploite la capacit茅 de jumeau num茅rique de la plateforme pour diverses op茅rations, y compris la gestion des trains sans conducteur et la surveillance des risques g茅otechniques.
En Australie-Occidentale, le syst猫me coordonne 53 trains autonomes transportant du minerai de fer, tandis qu'en Mongolie, il g猫re les risques de la mine Oyu Tolgoi. L'ontologie de Foundry int猫gre des donn茅es provenant de milliers de capteurs, offrant une vue unifi茅e des op茅rations et permettant des solutions bas茅es sur l'IA pour l'identification des risques, la gestion des actifs et les processus de la cha卯ne d'approvisionnement.
Palantir Technologies hat seine mehrj盲hrige Unternehmensvereinbarung mit der Rio Tinto Group um zus盲tzliche 4 Jahre verl盲ngert, wodurch der Zugriff auf die AI-Plattform von Palantir (AIP) ausgeweitet wird. Als fr眉her Anwender von Foundry nutzt Rio Tinto die digitalen Zwilling-Funktionen der Plattform f眉r verschiedene Operationen, darunter die Verwaltung von unbemannten Z眉gen und die 脺berwachung geotechnischer Risiken.
In Westaustralien koordiniert das System 53 fahrerlose Z眉ge, die Eisenerz transportieren, w盲hrend es in der Mongolei Risiken in der Oyu Tolgoi Mine verwaltet. Die Foundry-Ontologie integriert Daten von Tausenden von Sensoren, bietet eine einheitliche Sicht auf die Abl盲ufe und erm枚glicht KI-gesteuerte L枚sungen zur Risikobewertung, zum Asset-Management und in den Prozessen der Lieferkette.
- Multi-year contract renewal with major mining company Rio Tinto
- Successful implementation of AI platform in critical mining operations
- Demonstrated operational improvements in railway throughput and safety
- Platform adoption for high-value applications in risk management and asset coordination
- None.
Insights
This contract renewal and AI expansion marks a significant milestone in mining digitalization. The 4-year extension demonstrates strong validation of Palantir's technology by a major mining player. Rio Tinto's successful implementation of Foundry for managing autonomous trains and deep mining operations showcases tangible operational improvements.
The integration of Palantir's AI Platform (AIP) with existing Foundry infrastructure positions both companies for enhanced value creation. Rio Tinto's digital twin architecture provides a robust foundation for AI deployment, potentially accelerating efficiency gains in critical areas like geotechnical risk management and supply chain optimization.
While specific financial terms weren't disclosed, this deal reinforces Palantir's strong position in the industrial AI market and suggests potential for expanded commercial applications. The successful deployment at Rio Tinto serves as a powerful reference case for similar large-scale industrial implementations.
As an early adopter of Palantir Foundry (鈥Foundry鈥), Rio Tinto has already primed its operational landscape for the deployment of AI through the creation of a robust digital twin (or 鈥Ontology鈥). Via the Ontology, AIP will enable Rio Tinto to build, test, and validate AI use cases at an accelerated pace and deploy them to production safely.
These AI use cases will follow and augment critical operational workflows Rio Tinto conducts in Foundry today. From managing plant operations to monitoring geotechnical risk to coordinating dozens of unmanned trains carrying iron ore, Foundry is enabling Rio Tinto to make well-informed decisions and take appropriate actions based on a single, unified source of truth.
鈥淔oundry has helped to transform the parts of our business where it has been applied. In our most high-stakes environments, we are empowering our people to find better ways of working, to improve how we operate our assets, increase performance and to innovate. The Foundry Ontology has made our structured data accessible, and AIP is doing the same for our unstructured data while enabling us to attack with pace problems previously deemed too complex,鈥 says Bold Bataar, Rio Tinto鈥檚 Chief Commercial Officer.
For Network Specialists and Train Controllers in the RTIO Operations Centre in
In
鈥淲e have high expectations for Rio Tinto鈥檚 utilisation of Palantir鈥檚 AI Platform (AIP) based on what they have already achieved with Foundry and their ambition for secure use of AI. The Ontology created by Rio Tinto's team in Foundry over the past three years enables fast deployment of AI solutions to some of Rio Tinto鈥檚 most pressing challenges and ensures best and safe operator practice in areas like risk identification, asset management, and supply chain order and fulfilment processes,鈥 says Ted Mabrey, Palantir鈥檚 Head of Commercial.
About Palantir
Foundational software of tomorrow. Delivered today. Additional information is available at .
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements may relate to, but are not limited to, Palantir鈥檚 expectations regarding the amount and the terms of the contract and the expected benefits of our software platforms. Forward-looking statements are inherently subject to risks and uncertainties, some of which cannot be predicted or quantified. Forward-looking statements are based on information available at the time those statements are made and were based on current expectations as well as the beliefs and assumptions of management as of that time with respect to future events. These statements are subject to risks and uncertainties, many of which involve factors or circumstances that are beyond our control. These risks and uncertainties include our ability to meet the unique needs of our customer; the failure of our platforms to satisfy our customer or perform as desired; the frequency or severity of any software and implementation errors; our platforms鈥 reliability; and our customer鈥檚 ability to modify or terminate the contract. Additional information regarding these and other risks and uncertainties is included in the filings we make with the Securities and Exchange Commission from time to time. Except as required by law, we do not undertake any obligation to publicly update or revise any forward-looking statement, whether as a result of new information, future developments, or otherwise.
View source version on businesswire.com:
Lisa Gordon
media@palantir.com
Source: Palantir Technologies Inc.
FAQ
What is the duration of Palantir's (PLTR) renewed contract with Rio Tinto?
How is Palantir (PLTR) technology being used in Rio Tinto's mining operations?