{"id":163250,"date":"2026-05-07T13:30:00","date_gmt":"2026-05-07T11:30:00","guid":{"rendered":"https:\/\/e3mag.com\/?p=163250"},"modified":"2026-05-07T13:32:38","modified_gmt":"2026-05-07T11:32:38","slug":"a-prior-labs-turbo-for-sap-rpt-1","status":"publish","type":"post","link":"https:\/\/e3mag.com\/en\/ein-prior-labs-turbo-fuer-sap-rpt-1\/","title":{"rendered":"A Prior Labs turbo for SAP-RPT-1"},"content":{"rendered":"

Large Language Models versus Relational Pre-trained Transformer<\/h2>\n\n\n\n

The very name of the large AI models implies their failure before the Abap tables from SAP ERP. Large language models are language models that understand and provide language-based answers. In an ERP world of numbers, formulas and attributes, language-based AI systems are quickly overwhelmed.<\/p>\n\n\n\n

While the global AI world is staring hypnotized at text-based large language models (LLMs), the specialized AI start-up Prior Labs from Freiburg (DE) is positioning itself as a decisive game changer in the much more complex area of structured and relational business data. On closer inspection, it quickly becomes clear that Prior Labs is by no means a competitor to SAP's own development SAP-RPT-1, but rather the technical backbone of SAP's future AI strategy, as SAP is acquiring Prior Labs in a strategic move that involves investments of over one billion euros over the next four years. <\/p>

\"\"<\/a><\/div>\n\n\n\n

Prior Labs is doing pioneering work in this area and, with its TabPFN-2.5 product, offers a so-called frontier model that is precisely geared towards predicting and analyzing structured table data. This offering is complemented by the Model Context Protocol, which gives autonomous AI agents the native ability to make precise predictions based on this relational data.<\/p>\n\n\n\n

SAP-RPT-1, a GPT for Abap tables<\/h2>\n\n\n\n

The need for such specialized models and SAP's own development SAP-RPT-1 arises from a serious architectural deficit of classical language models. Conventional LLMs from OpenAI or Anthropic are brilliant rhetoricians, but often fail miserably at simple arithmetic, as they break down numbers such as 1000 into isolated characters through tokenization and thus hallucinate mathematically.<\/p>\n\n\n\n

SAP-RPT-1 solves this problem by recognizing numbers as singular, relational values and natively understanding the semantic logic of database rows and columns, which effectively makes it a \u201eGPT for Abap tables\u201c. The revolutionary concept behind SAP-RPT-1 is based on so-called in-context learning: the model no longer has to be fine-tuned with customer data in time-consuming and cost-intensive phases, but instead reads the tabular data directly at runtime via an API call, performs classifications or numerical regressions and then forgets the data again. The advantages for existing SAP customers lie in the extremely fast provision of reliable, fact-based predictions without long training phases and in a significantly lower consumption of resources and computing power compared to classic LLMs.<\/p>\n\n\n\n

AI caesura: RPT-1, Prior Labs and Abap-1<\/h2>\n\n\n\n

The bundled AI offerings from Prior Labs, RPT-1 and the specific Abap-1 model represent an existential turning point for the SAP community and, in particular, for the future of the programming language Abap, which has dominated for decades. The Abap-1 model, which is an integral part of the \u201eJoule for Developers\u201c assistant, currently functions primarily as an algorithmic repair tool to automatically press users' historically grown, outdated custom code into the strict architectural constraints of the SAP Clean Core. <\/p>\n\n\n\n

However, if models such as RPT-1 and the technology from Prior Labs analyze, predict and control the actual business logic of SAP Hana databases in the future, while Abap-1 masters the syntactic code level, classic, manual Abap development will become obsolete. ABAP loses its status as a competitively differentiating engineering skill and degrades to a pure machine language that is machine-orchestrated by Agentic AI, whereby the clean core is effectively managed by autonomous algorithms instead of human programmers. A revolutionary technology that Professor Alexander Zeier from Nova Intelligence will be presenting at the Competence Center Summit 2026 in Salzburg on 10 and 11 June - Click here to register!<\/a> <\/p>\n\n\n\n

SAP BTP GenAI Hub and Prior Labs TabPFN<\/h2>\n\n\n\n

This change will also radically transform the GenAI hub of the Business Technology Platform (SAP BTP). Until now, this hub has primarily functioned as a broker, providing customers with structured access to external text models from hyperscalers. With the launch of SAP RPT-1 in Q4 2025 and the acquisition of Prior Labs, BTP is transforming into a proprietary fortress for enterprise-specific relational AI. Since Prior Labs already offers its TabPFN model for environments such as Databricks, AWS Sagemaker and Microsoft Azure AI Foundry, deep integration into SAP BTP is not only conceivable, but the logical architectural consequence. Prior Labs will therefore inevitably become an integral part of the SAP Business Data Cloud and BTP in order to cement SAP's data federation and semantic sovereignty.<\/p>\n\n\n\n

SAP BTP versus SAP API Policy<\/h2>\n\n\n\n

Despite these promising technical prospects, existing SAP customers face massive commercial and legal risks when using external AI systems via APIs, which SAP is cleverly trying to monetize. The recently tightened SAP API policy rigorously regulates that third-party systems and, in particular, autonomous AI agents may only access the ERP system via explicitly documented and approved interfaces.<\/p>\n\n\n\n

Mass data extractions for external data warehouses or AI solutions are made massively more difficult or prohibited, forcing users into SAP's own expensive solutions such as Datasphere or the Business Data Cloud (SAP BDC). In addition, the dreaded cost trap of digital access (indirect use) lurks here, where customers have to pay exorbitantly high license fees as soon as external AI agents trigger mass automated postings or read accesses in the S\/4 system. SAP will therefore strategically orchestrate the connection of Prior Labs to an S\/4 system via its own, strictly controlled BTP services and zero-copy partnerships in order to seamlessly monitor and charge for the data flow.<\/p>\n\n\n\n

The policy explicitly prohibits the use of APIs for purposes that are not documented in detail, for systematic and large-scale mass data extractions and, in particular, prohibits interaction with autonomous generative AI systems or agents from third-party providers, unless these application scenarios are expressly approved for this in the SAP Business Accelerator Hub.<\/p>\n\n\n\n

This is a commercial trap for Rise customers: while the Rise architecture model makes the use of APIs mandatory for any external communication, the API policy drastically restricts precisely this freedom in order to prevent external AI tools or third-party applications from exploiting the lucrative historical data treasure trove without additional SAP tolls. If user companies try to efficiently extract their data transferred to the cloud through Rise for external analytics platforms such as Microsoft Fabric, SAP blocks the high-performance interfaces and de facto forces companies into its own expensive data ecosystems such as the Business Data Cloud (BDC) or SAP Datasphere. <\/p>\n\n\n\n

In addition, the fatal interplay of Rise architecture and API restrictions threatens the incalculable cost trap of indirect use, feared in the SAP world as digital access. As soon as autonomous AI agents access the cloud-based S\/4 system via the strictly regulated APIs and independently generate business-critical documents such as sales orders or invoices, new pricing models come into play that allow SAP to collect horrendous license fees for precisely this external data traffic. The critical and instructive conclusion for every existing SAP customer is therefore that Rise with SAP and the API policy are not separate IT measures, but a masterfully orchestrated control grip: Rise with SAP wrests technical autonomy from customers in the database engine room through the Clean Core, while the API policy confiscates digital sovereignty at the system boundaries, thereby cementing the ERP world market leader's absolute control and monetization of the data streams of the future.<\/p>\n\n\n\n

SAP exit strategy: Prior Labs<\/h2>\n\n\n\n

In the critical IT scene and among independent analysts, Prior Labs\u201e commitment is held in the highest regard due to its revolutionary approach to tabular data. However, the overarching SAP AI strategy around RPT-1 is perceived far more skeptically and is sometimes derided as \u201cAI chaos theory\".<\/p>\n\n\n\n

Many experts harbor the well-founded suspicion that with RPT-1, SAP is merely trying to sell old statistical methods from the Predictive Analysis Library (PAL) from the Hana database with modern marketing buzzwords as a new foundation model in order to conceal the technical backlog compared to the real AI pioneers. <\/p>\n\n\n\n

While Prior Labs is actually delivering real innovation in the field of machine learning for structural data, the global corporation SAP has yet to prove that the multi-billion dollar integration of this technology creates real business value for customers and is not just an excuse to further tighten the vendor lock-in on the BTP.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Behind the cloudy AI marketing promises of the Walldorf-based software company SAP, a fundamental paradigm shift is currently taking place that will massively change the future of business data processing.<\/p>\n

LLMs naturally fail with abap tables.<\/p>","protected":false},"author":2,"featured_media":161236,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","footnotes":""},"categories":[27840],"tags":[44106,44395,73,624,517,236],"coauthors":[27825],"class_list":["post-163250","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chefredakteur-blog","tag-bdc","tag-btp","tag-erp","tag-ki-joule","tag-s4","tag-sap","pmpro-has-access"],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"thumbnail":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-150x150.jpeg",150,150,true],"medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-400x180.jpeg",400,180,true],"medium_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-768x346.jpeg",768,346,true],"large":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"image-100":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-100x45.jpeg",100,45,true],"image-480":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-480x216.jpeg",480,216,true],"image-640":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-640x288.jpeg",640,288,true],"image-720":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-720x324.jpeg",720,324,true],"image-960":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-960x432.jpeg",960,432,true],"image-1168":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"image-1440":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"image-1920":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"1536x1536":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"2048x2048":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"trp-custom-language-flag":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-18x8.jpeg",18,8,true],"bricks_large_16x9":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"bricks_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"bricks_large_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu.jpeg",1000,450,false],"bricks_medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-600x270.jpeg",600,270,true],"bricks_medium_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-600x450.jpeg",600,450,true],"profile_24":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-24x24.jpeg",24,24,true],"profile_48":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-48x48.jpeg",48,48,true],"profile_96":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-96x96.jpeg",96,96,true],"profile_150":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-150x150.jpeg",150,150,true],"profile_300":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/02\/Chefredakteur-neu-300x300.jpeg",300,300,true]},"post_excerpt_stackable_v2":"

Hinter den wolkigen KI-Marketingversprechen des Walldorfer Softwarekonzerns SAP vollzieht sich aktuell ein fundamentaler Paradigmenwechsel, der die Zukunft der betriebswirtschaftlichen Datenverarbeitung massiv ver\u00e4ndern wird.<\/p>\n

LLMs scheitern naturgem\u00e4\u00df an Abap-Tabellen.<\/p>\n","category_list_v2":"Chefredakteur-Blog<\/a>","author_info_v2":{"name":"Peter M. F\u00e4rbinger, E3 Magazine","url":"https:\/\/e3mag.com\/en\/author\/peter-m-faerbinger-e-3-magazin\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/163250","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/comments?post=163250"}],"version-history":[{"count":2,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/163250\/revisions"}],"predecessor-version":[{"id":163256,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/163250\/revisions\/163256"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/media\/161236"}],"wp:attachment":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/media?parent=163250"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/categories?post=163250"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/tags?post=163250"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/coauthors?post=163250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}