AI Synesthesia - SME, IT partner, AI solutions, applications developer

We are interested in joining as a partner in a consortium applying for a project under the HORIZON programme and other programmes financed by EU funds. As an IT company, we are flexible and can offer the consortium a wide range of solutions that we can develop as part of the project. We can provide:

- an AI module (based on machine learning)

- frontend for any application (accessible via a web browser and/or mobile application)

- application backend, e.g. a platform in which other systems are embedded (e.g. AI module)

In addition, we can assist potential consortium members in finding partners in Poland – we have experience in cooperating with hospitals, especially clinical hospitals, universities, including medical universities, and research institutes. 

AI Synesthesia has experience in implementing national R&D projects, in particular - "COVID FAST: Assessment of changes in lung parenchyma occurring in patients after COVID-19 infection and their impact on pulmonary circulation - a study using a proprietary hybrid protocol based on MRI, ultrasound and artificial intelligence algorithms," as part of the Infostrateg programme (INFOSTRATEG-I/0054/2021-00), which will be completed in the first quarter of 2026.

Our subsidiary, Sigoria, is implementing three international projects, two of which will be completed in 2026:

- Tailored CBRNe protection measures for hotels and conference centres – HOTHREAT – ISF-2022-TF1-AG-PROTECT-02-others

www.hothreat.eu

- Intelligence and integration of care for smarter chronic wounds management – THCS JTC1 2023 ‘Healthcare of the Future’

https://icarewounds.eu/

- Universal CBRNE protection system supporting the safety and open nature of higher education institutions – UNICOPS – ISF-2024-TF2-AG-PROTECT-protection-public-spaces

https://unicops.eu/

Our tasks consist in creating IT solutions for the implementation of the project results, namely: a platform integrating an AI module for wound analysis and hospital systems, enabling the implementation of a coordinated care model (ICareWounds), and mobile applications (HOTHREAT and UNICOPS).

In addition, at another sister company, XAILAB, we are working on solutions that use AI to support doctors in automatically generating descriptions of radiological examinations (we are in the process of MDR certification of the OSTIA SOR product – a system that automatically detects fractures in X-ray images, and we are working on further solutions for the automatic generation of templates for X-ray examination descriptions of the musculoskeletal system and MRI of the lungs and right heart).