xista science ventures

We invest in deep tech startups and academic spin-offs with a strong innovation based on science, engineering and technology. We invest as lead investor in pre-seed and seed stages and have the ability to follow on in later rounds. We understand the needs of science and tech based startups and offer tailored support for entrepreneurs. We are embedded in the venture capital scene, yet understand the language of science and the world of research. Thanks to our diverse team, our expertise and experience in technology, entrepreneurship, finance, legal, IP, and strategic consulting will support your startup right from the start.

Florian Resch

Managing Partner

Alexander Schwartz Ph.D

Partner

14 past transactions

Prewave

Series A in 2023
Prewave develops a data analytics platform designed to predict supply chain risks by analyzing data. Their platform analyzes social media data with machine learning techniques to monitor and communicate information predicting supply chain anomalies, enabling businesses to predict upcoming risk events in logistics networks and detect and eliminate sustainability risks.

Brainhero

Seed Round in 2022
Brainhero is a home-based Neurofeedback therapy that allows you to train your brain in a playful manner to assist reduce and/or treat symptoms of ASD (Autism Spectrum Disorder) and ADHS (Attention Deficit Hyperactivity Disorder). Children can learn to control their brain activity by measuring brain waves with an EEG (=electroencephalogram) and visualizing them in an app.

Ribbon Biolabs

Series A in 2022
Ribbon Biolabs defines new standards for molecular biology by applying innovative methods for DNA synthesis.

nista.io

Seed Round in 2022
Nista.io develops a platform that transforms energy data into actionable tasks. It reduces up to 20 percent of annual energy costs and helps to reduce C0₂ emissions in the long term.

contextflow

Series A in 2021
contextflow revolutionizes the medical information search process with the help of deep learning: our 3D image-based search engine for radiologists looks for regions of interest within images (currently 18+ patterns in lung CTs); when a suspicious pattern is detected, we immediately find visually similar cases, descriptions and relevant reference information, affording doctors easy access to knowledge currently hidden in large medical image data and their associated reports...all within seconds. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. In addition, our software can be configured to allow for prioritization of cases where patterns of interest are detected. contextflow is a spin-off of the Medical University of Vienna (MUW), Technical University of Vienna (TU) and European research project KHRESMOI. Founded by a team of AI and engineering experts in July 2016, the company was awarded the distinction of Most Promising Startup by the BCS Search Industry, received the Digital Innovation Award by the Austrian Federal Ministry of Education, Science and Research and was selected as one of 19 startups out of over 700 applications to participate in the Philips HealthWorks accelerator program. It is currently testing its 3D image-based software with six partners, expanding internationally to other locations later this year.

Rivus

Venture Round in 2020
Rivus Batteries is pioneering sustainable energy storage with its innovative, metal-free flow battery technology utilizing water-based organic electrolytes. The company focuses on reducing costs and environmental impact, offering a greener alternative for long-duration energy storage solutions.

Sarcura

Seed Round in 2020
Sarcura GmbH is an Austrian deep-tech startup developing an instrument platform for the industrial manufacturing of advanced cell therapies. Our platform combines silicon chip technology and microfluidic processing to enable real-time process control and manipulation on a cellular level, enabling a fully automated and modular manufacturing system..

Prewave

Seed Round in 2020
Prewave develops a data analytics platform designed to predict supply chain risks by analyzing data. Their platform analyzes social media data with machine learning techniques to monitor and communicate information predicting supply chain anomalies, enabling businesses to predict upcoming risk events in logistics networks and detect and eliminate sustainability risks.

VALANX Biotech

Seed Round in 2020
VALANX Biotech is a site-specific protein conjugation platform to enable fast and cost efficient protein-drug-conjugates development.

G.ST Antivirals

Series A in 2020
G.ST Antivirals is a clinical-stage biotech company that applies an innovative host cell-based strategy to develop broad-spectrum antivirals against infections of the respiratory tract.

vitrealab

Pre Seed Round in 2019
VitreaLab is commercializing integrated photonic devices that will transform displays. The quantum light chip, which is part of their technology, is a laser-powered light source that can illuminate 3D, VR, and AR with laser light of unparalleled brightness and exquisite color quality while using a small fraction of the energy required by competing technologies.

Ribbon Biolabs

Seed Round in 2019
Ribbon Biolabs defines new standards for molecular biology by applying innovative methods for DNA synthesis.

Prewave

Pre Seed Round in 2018
Prewave develops a data analytics platform designed to predict supply chain risks by analyzing data. Their platform analyzes social media data with machine learning techniques to monitor and communicate information predicting supply chain anomalies, enabling businesses to predict upcoming risk events in logistics networks and detect and eliminate sustainability risks.

contextflow

Seed Round in 2018
contextflow revolutionizes the medical information search process with the help of deep learning: our 3D image-based search engine for radiologists looks for regions of interest within images (currently 18+ patterns in lung CTs); when a suspicious pattern is detected, we immediately find visually similar cases, descriptions and relevant reference information, affording doctors easy access to knowledge currently hidden in large medical image data and their associated reports...all within seconds. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. In addition, our software can be configured to allow for prioritization of cases where patterns of interest are detected. contextflow is a spin-off of the Medical University of Vienna (MUW), Technical University of Vienna (TU) and European research project KHRESMOI. Founded by a team of AI and engineering experts in July 2016, the company was awarded the distinction of Most Promising Startup by the BCS Search Industry, received the Digital Innovation Award by the Austrian Federal Ministry of Education, Science and Research and was selected as one of 19 startups out of over 700 applications to participate in the Philips HealthWorks accelerator program. It is currently testing its 3D image-based software with six partners, expanding internationally to other locations later this year.
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