Сделка века: SAP приобретает Prior Labs за €1+ миллиард и создает ведущую европейскую ИИ-лабораторию для структурированных данных
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели. Модель TabPFN, опубликованная в Nature, за секунды обрабатывает данные, на которые обычные ML пайплайны тратят 4 часа —...
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SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели.
Модель TabPFN, опубликованная в Nature, за секунды обрабатывает данные, на которые обычные ML пайплайны тратят 4 часа — уже применяется в Hitachi, TD Bank и исследованиях рака.
Новейшая модель TabPFN 3 с режимом «Thinking» обрабатывает до 1 млн строк, превосходит AutoML на 200+ Elo и делает ИИ доступным без настройки данных.
What are the details of SAP's €1 billion+ acquisition of Prior Labs 18 months after its founding, including Prior Labs' pioneering work on tSAP completed its acquisition of Prior Labs on July 17, 2026, investing over €1 billion to create a frontier AI lab for structured data.
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Create a landscape editorial hero image for this Studio Global article: What are the details of SAP's €1 billion+ acquisition of Prior Labs 18 months after its founding, including Prior Labs' pioneering work on t. Article summary: On July 17, 2026, SAP completed its acquisition of Prior Labs, a Freiburg-based startup founded just 18 months earlier, committing more than €1 billion over four years to scale it into an independent frontier AI research. Topic tags: general, general web, user generated, government, academic. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, wate
openai.com
On July 17, 2026, SAP completed its acquisition of Prior Labs, a Freiburg-based startup founded just 18 months earlier, committing more than €1 billion over four years to scale it into an independent frontier AI research lab for structured data . Prior Labs pioneered Tabular Foundation Models (TFMs), a category of AI purpose-built for rows-and-columns enterprise data rather than unstructured text . Its core model, TabPFN, is a pre-trained transformer that delivers accurate predictions in seconds without requiring dataset-specific training .
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Каков краткий ответ на вопрос «Сделка века: SAP приобретает Prior Labs за €1+ миллиард и создает ведущую европейскую ИИ-лабораторию для структурированных данных»?
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели.
Какие ключевые моменты необходимо проверить в первую очередь?
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели. Модель TabPFN, опубликованная в Nature, за секунды обрабатывает данные, на которые обычные ML пайплайны тратят 4 часа — уже применяется в Hitachi, TD Bank и исследованиях рака.
Что мне делать дальше на практике?
Новейшая модель TabPFN 3 с режимом «Thinking» обрабатывает до 1 млн строк, превосходит AutoML на 200+ Elo и делает ИИ доступным без настройки данных.
Сделка века: SAP приобретает Prior Labs за €1+ миллиард и создает ведущую европейскую ИИ-лабораторию для структурированных данных
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели. Модель TabPFN, опубликованная в Nature, за секунды обрабатывает данные, на которые обычные ML пайплайны тратят 4 часа —...
ОпубликовалОтредактировано с помощью DeepSeek-V4-FlashИзображения созданы с помощью GPT Image 1.5
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели.
Модель TabPFN, опубликованная в Nature, за секунды обрабатывает данные, на которые обычные ML пайплайны тратят 4 часа — уже применяется в Hitachi, TD Bank и исследованиях рака.
Новейшая модель TabPFN 3 с режимом «Thinking» обрабатывает до 1 млн строк, превосходит AutoML на 200+ Elo и делает ИИ доступным без настройки данных.
What are the details of SAP's €1 billion+ acquisition of Prior Labs 18 months after its founding, including Prior Labs' pioneering work on tSAP completed its acquisition of Prior Labs on July 17, 2026, investing over €1 billion to create a frontier AI lab for structured data.
Промпт ИИ
Create a landscape editorial hero image for this Studio Global article: What are the details of SAP's €1 billion+ acquisition of Prior Labs 18 months after its founding, including Prior Labs' pioneering work on t. Article summary: On July 17, 2026, SAP completed its acquisition of Prior Labs, a Freiburg-based startup founded just 18 months earlier, committing more than €1 billion over four years to scale it into an independent frontier AI research. Topic tags: general, general web, user generated, government, academic. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, wate
openai.com
On July 17, 2026, SAP completed its acquisition of Prior Labs, a Freiburg-based startup founded just 18 months earlier, committing more than €1 billion over four years to scale it into an independent frontier AI research lab for structured data . Prior Labs pioneered Tabular Foundation Models (TFMs), a category of AI purpose-built for rows-and-columns enterprise data rather than unstructured text . Its core model, TabPFN, is a pre-trained transformer that delivers accurate predictions in seconds without requiring dataset-specific training .
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Продолжайте свое исследование
На этой странице есть ответ, подтвержденный источником, который вы можете продолжить внутри Studio Global.
Каков краткий ответ на вопрос «Сделка века: SAP приобретает Prior Labs за €1+ миллиард и создает ведущую европейскую ИИ-лабораторию для структурированных данных»?
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели.
Какие ключевые моменты необходимо проверить в первую очередь?
SAP завершила сделку по приобретению Prior Labs, инвестировав более €1 миллиарда за 4 года — стартап продолжит работу как независимая лаборатория, сохраняя бренд, руководство и open source модели. Модель TabPFN, опубликованная в Nature, за секунды обрабатывает данные, на которые обычные ML пайплайны тратят 4 часа — уже применяется в Hitachi, TD Bank и исследованиях рака.
Что мне делать дальше на практике?
Новейшая модель TabPFN 3 с режимом «Thinking» обрабатывает до 1 млн строк, превосходит AutoML на 200+ Elo и делает ИИ доступным без настройки данных.
TabPFN was published in Nature in January 2025 and has been cited over 1,000 times . It can match the accuracy of a four-hour tuned machine learning pipeline in a single forward pass lasting seconds . The technology is already deployed in production across demanding industries:
Rail maintenance — A case study on the Prior Labs site shows Prior Labs partnered with Hitachi to advance predictive maintenance in rail .
Financial forecasting — A case study documents that Prior Labs and TD (TD Bank) explored TabPFN for financial forecasting at enterprise scale .
Healthcare and life sciences — Research applications span pancreatic cancer diagnosis, oncology, neurology, and cardiology ; a case study with BostonGene used TabPFN to identify immune system profiles .
Environmental and energy — The model has been applied to wildfire risk prediction and renewable-energy nowcasting .
Battery materials — TabPFN-2.5's applications extend to environmental forecasting including algal blooms and wildfire risk, and renewable-energy nowcasting .
Latest model: TabPFN-3 with Thinking Mode
TabPFN-3 was released on May 12, 2026 . It supports datasets up to 1 million rows and 200 features, with native text feature support on the API . The API offering TabPFN-3-Plus (Thinking) introduces inference-time compute scaling (test-time compute) — spending more time during fitting for significantly higher accuracy . On the TabArena benchmark, TabPFN-3-Plus (Thinking) beats all non-TabPFN models by over 200 Elo, and outperforms AutoGluon 1.5 extreme while being 10× faster . TabPFN-3 itself remains open-source .
Deal structure and independence terms
Acquisition price — Not disclosed, but SAP committed to invest more than €1 billion over four years to grow Prior Labs .
Independence — Prior Labs continues to operate as an independent entity, retaining its brand, leadership, research agenda, and customer relationships .
Open-source commitment — SAP fully supports Prior Labs' open-source strategy; TabPFN-3 is released open-source and the model has over 3 million downloads .
Leadership — Founders Frank Hutter, Noah Hollmann, and Sauraj Gambhir continue leading the team . Yann LeCun and Bernhard Schoelkopf serve on the scientific advisory board .
Strategic rationale from leadership
Philipp Herzig, SAP CTO, said SAP recognized early that the greatest untapped opportunity in enterprise AI was not LLMs but AI built for structured business data. He stated: "Combining their frontier model work with enterprise data and customer reach is how we intend to lead this category globally" .
Frank Hutter, Prior Labs CEO, said: "Joining the SAP family gives us the resources, data environment and customer reach to take this category to its full potential" . In a LinkedIn post after close, he added: "Same team, same offices, same mission, open models, backed by €1B+. What changes? The scale and the planning horizon. SAP is the perfect partner, with an enormous scale of tabular data and distribution" .
The combined entity plans to pursue frontier research in enterprise AI, scientific discovery, causality, relational data, and agentic systems — moving beyond correlation to causation, and enabling agentic AI that understands tables, language, and images to reason and adapt dynamically . SAP also outlined moonshot ambitions in medical data and material sciences, with applications already demonstrated in oncology diagnosis, clinical decision-making, and battery materials research .
tech.eu
SAP acquires Prior Labs just 18 months after launch in €1B+ deal
TabPFN was published in Nature in January 2025 and has been cited over 1,000 times . It can match the accuracy of a four-hour tuned machine learning pipeline in a single forward pass lasting seconds . The technology is already deployed in production across demanding industries:
Rail maintenance — A case study on the Prior Labs site shows Prior Labs partnered with Hitachi to advance predictive maintenance in rail .
Financial forecasting — A case study documents that Prior Labs and TD (TD Bank) explored TabPFN for financial forecasting at enterprise scale .
Healthcare and life sciences — Research applications span pancreatic cancer diagnosis, oncology, neurology, and cardiology ; a case study with BostonGene used TabPFN to identify immune system profiles .
Environmental and energy — The model has been applied to wildfire risk prediction and renewable-energy nowcasting .
Battery materials — TabPFN-2.5's applications extend to environmental forecasting including algal blooms and wildfire risk, and renewable-energy nowcasting .
Latest model: TabPFN-3 with Thinking Mode
TabPFN-3 was released on May 12, 2026 . It supports datasets up to 1 million rows and 200 features, with native text feature support on the API . The API offering TabPFN-3-Plus (Thinking) introduces inference-time compute scaling (test-time compute) — spending more time during fitting for significantly higher accuracy . On the TabArena benchmark, TabPFN-3-Plus (Thinking) beats all non-TabPFN models by over 200 Elo, and outperforms AutoGluon 1.5 extreme while being 10× faster . TabPFN-3 itself remains open-source .
Deal structure and independence terms
Acquisition price — Not disclosed, but SAP committed to invest more than €1 billion over four years to grow Prior Labs .
Independence — Prior Labs continues to operate as an independent entity, retaining its brand, leadership, research agenda, and customer relationships .
Open-source commitment — SAP fully supports Prior Labs' open-source strategy; TabPFN-3 is released open-source and the model has over 3 million downloads .
Leadership — Founders Frank Hutter, Noah Hollmann, and Sauraj Gambhir continue leading the team . Yann LeCun and Bernhard Schoelkopf serve on the scientific advisory board .
Strategic rationale from leadership
Philipp Herzig, SAP CTO, said SAP recognized early that the greatest untapped opportunity in enterprise AI was not LLMs but AI built for structured business data. He stated: "Combining their frontier model work with enterprise data and customer reach is how we intend to lead this category globally" .
Frank Hutter, Prior Labs CEO, said: "Joining the SAP family gives us the resources, data environment and customer reach to take this category to its full potential" . In a LinkedIn post after close, he added: "Same team, same offices, same mission, open models, backed by €1B+. What changes? The scale and the planning horizon. SAP is the perfect partner, with an enormous scale of tabular data and distribution" .
The combined entity plans to pursue frontier research in enterprise AI, scientific discovery, causality, relational data, and agentic systems — moving beyond correlation to causation, and enabling agentic AI that understands tables, language, and images to reason and adapt dynamically . SAP also outlined moonshot ambitions in medical data and material sciences, with applications already demonstrated in oncology diagnosis, clinical decision-making, and battery materials research .
tech.eu
SAP acquires Prior Labs just 18 months after launch in €1B+ deal
