News

ETFBOOK raised USD 13 million in a round led by Expedition Growth Capital, with existing investor BlackFin Capital Partners participating, to expand its ETF data and analytics platform. The Zurich company serves more than 70 enterprise customers and covers over 11,000 ETFs across Europe and the United States.

Its APIs and web application bring together fund holdings, flows and trading data for investment research and comparison. The funding will extend coverage in the Americas and Asia-Pacific and support new analytics tools. A conversational AI interface is under development, rather than an already released part of the announcement.

Covalo secured a EUR 3.5 million funding extension led by Hi inov, with existing investors HTGF and seed + speed Ventures participating. The Zurich company is expanding its ingredient-discovery platform into software that connects suppliers' product records with cosmetics manufacturers' development and regulatory workflows.

The platform brings together technical, safety and sustainability information that would otherwise circulate in separate documents and spreadsheets. Covalo says the funding will support enterprise expansion, product-information management and planned AI tools for extracting data, handling supplier requests and checking compliance. At the announcement, it reported more than 1,500 suppliers and 6,000 brands connected across over 145 countries.

Rivia raised USD 15 million in an oversubscribed Series A led by Earlybird Venture Capital, with Defiant and existing investors Speedinvest, Amino Collective and Nina Capital participating. The Zurich company is developing software that brings clinical trial data into a shared structure, helping biotechnology companies analyse studies and coordinate their work.

Its platform harmonises records from different vendors and maps them to trial-specific models covering protocols, visits and endpoints. Rivia says its growing library of these models supports workflows and AI tools that help teams examine patient data and identify issues without repeatedly assembling information by hand.

Zurich-based Rapidata raised USD 8.5 million in seed funding co-led by Canaan Partners and IA Ventures, with Acequia Capital and BlueYard participating. The investment will expand its network for collecting human feedback used to train and evaluate AI models.

Rapidata distributes short, opt-in tasks through consumer apps and matches tasks with relevant participants. AI developers can request judgements, preferences and validation data through the platform rather than building and managing their own annotation operations.

The Euclid Consortium released Flagship 2, a synthetic catalogue containing 3.4 billion galaxies with approximately 400 modelled properties each. The catalogue provides a testbed for interpreting observations from ESA's Euclid space telescope, including galaxy positions, brightness, velocities and shapes. Its underlying simulation used algorithms developed by University of Zurich astrophysicist Joachim Stadel.

The gravitational calculation tracked four trillion particles on CSCS's Piz Daint supercomputer in Lugano in 2019. Researchers subsequently populated the resulting structures with galaxies to reproduce the survey that Euclid would observe. The September 2025 milestone was the catalogue's public release. It gives teams a common reference for developing automated analysis and comparing observations with predictions of the standard cosmological model, including the distribution of dark matter and the effects of cosmic expansion.

Veezoo develops software to query business data in natural language.

askEarth develops AI software for analysing satellite imagery.

ETFbook develops data and analytics software for exchange-traded funds.

KNIME develops open-source software for data analysis workflows.

IBM Research Zurich's AI for knowledge team made Docling publicly available as an open-source document conversion toolkit. The first public release, version 0.1.1, appeared on July 15, followed by version 1.0 three days later. The software combines specialised AI models for document layout and table structure with a pipeline that extracts useful information from PDFs.

Released under the permissive MIT licence, Docling was designed to run on ordinary computing hardware and to support extensions with additional models and processing features. Its structured document outputs provide a foundation for search, retrieval-augmented generation and AI training workflows. The pipeline moves beyond extracting isolated text by preserving document organisation and tables, making information in complex reports and other PDFs more accessible to downstream software.

EthonAI develops software to analyze manufacturing data and identify production defects.

Zurich-based Decentriq announced a USD 15 million Series A led by Eclipse Ventures, with existing investors Atlantic Labs, btov Partners and Paladin Capital Group participating. The financing backed its data clean room platform, which lets organizations collaborate on sensitive information without giving other participants unrestricted access to the underlying records.

The system uses confidential computing to protect data while it is being processed, alongside controls on what analyses participants can run. Decentriq planned to expand the platform's analytical capabilities, including support for Python, R and machine learning, and to grow its commercial and technical teams. The aim was to make joint analysis practical for organizations whose commercial or regulatory obligations prevent them from pooling raw data.