datin GmbH

datin GmbH is a German software company based in Karlsruhe that develops a semantic data engine for research and development organizations working in the physical sciences. The company positions its platform as "The Data Engine for Physical AI," aimed at connecting every sample, event, and result across complex, multi-department R&D workflows into machine-learning-ready knowledge. Its stated audience spans today's human scientists as well as the autonomous, robotic laboratories of the future. The core problem datin addresses is the fragmentation of experimental data. In traditional multi-department labs, chemistry data lives in one system and mechanical testing data in another, forcing data scientists to spend large amounts of time writing scripts to merge and reconcile records. In autonomous and robotic labs, the bottleneck shifts to autonomy: robots generate unpredicted states and high data volumes, and conventional databases that require vendor reconfiguration for every new robotic workflow can paralyze automation. datin's answer is a live, semantic knowledge graph that scientists, software, and lab robots can both write to and read from. The platform's distinguishing capabilities include semantic data stitching, which captures every record together with its semantics so that disparate information is already connected at query time, and deterministic cross-silo merging, which natively understands that an additive formulation from chemistry and a friction test from mechanical engineering belong to the same physical object. It normalizes units and aligns results regardless of which department or robot generated them. A guided mind-map interface is designed to accommodate any workflow and turn complex process chains into a rich knowledge graph. datin is a privately held company. Public evidence identifies it as a company in Karlsruhe, Germany, and its official website describes its product vision and technical approach in detail. The company markets to research-intensive industries and next-generation autonomous laboratory operators, positioning itself at the intersection of laboratory informatics, knowledge graphs, and physical AI.

datin GmbH is a privately held software company based in Karlsruhe, Germany. Public evidence identifies it as a company in Karlsruhe, and its official website presents its platform as "The Data Engine for Physical AI." The company has developed a semantic data engine designed to address two distinct bottlenecks in modern research and development: the human bottleneck in traditional multi-department labs and the autonomy bottleneck in autonomous and robotic labs. In traditional laboratory environments, experimental data is typically siloed across departments. Chemistry data resides in one system, mechanical testing data in another, and data scientists spend a large share of their time writing scripts to merge and reconcile records just to reconstruct what happened. datin's platform is built to eliminate this manual data wrangling by capturing every record together with its semantics, so that disparate information is already connected when queried. This approach, which the company calls semantic data stitching, is intended to provide immediate, trustworthy context without manual merging. For autonomous and robotic laboratories, the challenge is different. Robots produce unpredicted states and massive volumes of data, and conventional databases that require a software vendor to reconfigure a schema for every new robotic workflow can paralyze automation. datin addresses this with a live knowledge graph that scientists, software, and lab robots can write to and read from. The platform's deterministic cross-silo merging capability natively understands that an additive formulation from chemistry and a friction test from mechanical engineering belong to the same physical object, normalizing units and aligning results regardless of which department or robot generated them. The company's guided mind-map interface is designed to accommodate any workflow, instantly turning complex process chains into a rich knowledge graph. datin markets its platform to research-intensive organizations and positions it as built for the scientists of today and the self-driving labs of tomorrow. The company operates from Karlsruhe, Germany, and offers its platform globally as a software product.

A semantic data engine that connects fragmented multi-department R&D data into ML-ready knowledge, serving both human scientists and autonomous robotic labs.

• datin semantic data engine

  A semantic data engine that weaves complex, multi-department R&D into ML-ready knowledge, built for scientists and self-driving labs.

• Live knowledge graph

  An active, semantic knowledge graph that scientists, software, and lab robots can write to and read from.

• Semantic data stitching

  Captures every record with its semantics so disparate information is already connected when queried, providing immediate, trustworthy context.

• Deterministic cross-silo merging

  Natively understands that an additive formulation (chemistry) and a friction test (mechanical) belong to the same physical object, normalizing units and aligning results regardless of source.

• Guided mind-map interface

  Accommodates any workflow, instantly turning complex process chains into a rich knowledge graph.

1. 1datin | The Data Engine for Physical AIdatin.io
2. 2datin GmbH (Germany) - Wikidatawikidata.org