SAP aims to displace more general large language models with the release of its own foundational “tabular” model, which the company claims will reduce training requirements for enterprises. The model, called SAP RPT-1, is a pre-trained model with business and enterprise knowledge out of the box. SAP calls it a Relational Foundation Model, meaning it can do predictions based on relational databases even without fine-tuning or additional training.Walter Sun, SAP&#x27;s global head of AI, told VentureBeat in an interview that the value of the new model lies in its ability to perform various enterprise tasks, such as predictive analytics, out of the box. “Everyone knows about language models, and there’s a bunch of good ones that already exist,” Sun said. “But we trained the model on data on business transactions, basically Excel spreadsheets, and so we have a model that can do predictive analytics where the value is that it’s out of the box, meaning you don’t need to have specifics of a company to do tasks analogous to a language model.” Sun said that right out of the gate, RPT-1 can essentially build out a business model for enterprises based on its knowledge gained from data from SAP’s decades of information. Organizations can plug the model directly into applications, even without additional fine-tuning.RPT-1, SAP’s first large family of AI models, will be generally available in “Q4 of 2025” and be deployed via SAP’s AI Foundation. While RPT-1 is currently available, the company stated that additional models will be made available soon, including an open-source, state-of-the-art model. SAP will also release a no-code playground environment to experiment with the model. 
<h2>Tabular models vs LLMs
</h2>Tabular or relational AI models learned from spreadsheets, unlike LLMs, which learned from text and code. RPT-1 not only understands numbers and the relationships between different cells, but it’s also able to provide more structured and precise answers. When enterprises decide to use RPT-1, they can add more direction to the model through a bit of context engineering, since the model is semantically aware and learns based on how it is being used. SAP researchers first proposed the idea that tabular models can both exhibit semantic awareness and learn from content through a paper <a href="https://arxiv.org/pdf/2506.10707">published in June</a>. It proposed ConTextTab introduced context-aware pretraining. It utilizes semantic signals, such as table headers or column types, to guide model training, enabling the model to build a relational structure with the data. It’s this architecture that makes the model work best for tasks with precise answers, such as for financial or enterprise use cases.The RPT models build on the ConTextTab work that lets it learn structured business data, say from SAP’s knowledge graph, and then be able to add more context through usage. SAP researchers did test ConTextTab against benchmarks, saying it “is competitive” against similar models like TabPFN and TabIFL. <h2>Industry-specific models continue to grow</h2>
Many enterprises prefer to fine-tune general LLMs like GPT-5 or Claude, to basically retrain the model to answer only questions relevant to their business. However, a shift towards <a href="https://venturebeat.com/ai/microsoft-brings-ai-to-the-farm-and-factory-floor-partnering-with-industry-giants">industry-specific models has begun to take root</a>. Sun said that his experience at a previous company, building a very narrow, highly customized AI model for sentiment analysis, influenced a lot of what makes RPT-1 different. “It was a very customized model, a narrow model that takes specific feedback for specific products but it wasn’t scalable,” Sun said. “When LLMs came about, that one model measures sentiment. But there are use cases that we can do that LLMs cannot do.”He said these use cases include predictions, such as determining when a shopper will return to a grocery store, which may involve numerical analysis along with an understanding of the shopper’s buying habits. However, some LLMs have begun integrating into spreadsheets, and AI model providers encourage users to upload similar data to teach them context. <a href="https://www.microsoft.com/">Microsoft</a> added new <a href="https://venturebeat.com/ai/microsofts-copilot-can-now-build-apps-and-automate-your-job-heres-how-it">capabilities to Copilot</a>, including the ability to work in Excel. <a href="https://www.anthropic.com/">Anthropic</a> <a href="https://venturebeat.com/ai/anthropic-rolls-out-claude-ai-for-finance-integrates-with-excel-to-rival">integrated its Claude</a> model with Excel, complementing its <a href="https://venturebeat.com/ai/financial-firms-get-a-purpose-built-claude-as-anthropic-bets-on-vertical-ai-platforms">Claude for Finance service</a>. Chinese startup <a href="https://manus.im/">Manus</a> also offers a <a href="https://venturebeat.com/data-infrastructure/chinese-startup-manus-challenges-chatgpt-in-data-visualization-which-should-enterprises-use">data visualization tool</a> that understands spreadsheets, and ChatGPT can create charts from uploaded spreadsheets and other data sources. However, SAP noted that it is more than just reading a spreadsheet; RPT-1 should stand out amongst its competitors because it requires fewer additional pieces of information about a business to provide its responses.

تقوم SAP بإحداث ثورة في مجال الذكاء الاصطناعي من خلال نموذجها الجديد RPT-1، المصمم لتبسيط المهام التجارية دون الحاجة إلى تدريب مكثف. يستفيد هذا النموذج المدرب مسبقًا من المعرفة المؤسسية ويمكنه إجراء توقعات بناءً على قواعد البيانات العلائقية، مما يجعله نقطة تحول للشركات التي تسعى لتحسين عملياتها.

SAP está revolucionando el panorama de la IA con su nuevo modelo RPT-1, diseñado para simplificar las tareas empresariales sin necesidad de un entrenamiento extenso. Este modelo preentrenado aprovecha el conocimiento empresarial y puede hacer predicciones basadas en bases de datos relacionales, convirtiéndose en un cambio de juego para las empresas que buscan mejorar sus operaciones.

SAP révolutionne le paysage de l'IA avec son nouveau modèle RPT-1, conçu pour simplifier les tâches commerciales sans nécessiter de formation approfondie. Ce modèle pré-entraîné s'appuie sur des connaissances d'entreprise et peut faire des prédictions basées sur des bases de données relationnelles, ce qui en fait un atout majeur pour les entreprises cherchant à améliorer leurs opérations.

SAP is shaking up the AI landscape with its new RPT-1 model, designed to streamline business tasks without the need for extensive training. This pre-trained model leverages enterprise knowledge and can make predictions based on relational databases, making it a game-changer for companies looking to enhance their operations.

Forget Fine-Tuning: SAP’s RPT-1 Brings Ready-to-Use AI for Business Tasks

On December 4, WIRED sat down with some of the biggest names in tech, culture, business, and science for a day full of in-depth interviews.

في 4 ديسمبر، استضافت WIRED حدث Big Interview 2025، حيث اجتمع فيه شخصيات بارزة من مجالات التكنولوجيا والثقافة والأعمال والعلوم لإجراء سلسلة من المقابلات المتعمقة. وقد سلط هذا الحدث الضوء على أحدث الأفكار والاتجاهات التي تشكل هذه الصناعات.

El 4 de diciembre, WIRED celebró su evento Big Interview 2025, donde se reunieron figuras destacadas de la tecnología, la cultura, los negocios y la ciencia para una serie de entrevistas en profundidad. Este evento destacó las últimas ideas y tendencias que están moldeando estas industrias.

Le 4 décembre, WIRED a organisé son événement Big Interview 2025, réunissant des figures de proue des secteurs de la technologie, de la culture, des affaires et de la science pour une série de discussions approfondies. Cet événement a mis en lumière les dernières idées et tendances qui façonnent ces industries.

On December 4, WIRED hosted its 2025 Big Interview event, featuring prominent figures from technology, culture, business, and science for a series of in-depth discussions. This event showcased the latest insights and trends shaping these industries.

Forget Fine-Tuning: SAP’s RPT-1 Brings Ready-to-Use AI for Business Tasks

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