Aplicaciones en Informática Avanzada
Contact information
Aplicaciones en Informática Avanzada, S.L. Grupo AIA
Javier Martín Blanco - Data Scientist
Plaza Xavier Cugat, 2, Edificio A, pl.2ª, ofic.1. 08174. Sant Cugat del Vallès Barcelona. España
Sant Cugat del Vallès - 08174
Barcelona
+34 93 504 49 00
Areas of activities
- Bioinformatics
- Internet and information technologies
- Consultancy
AIA is a renowned Spanish company in the field of AI development, with over 35 years of experience across multiple sectors. Over the past 5 years, we have specialized in the biosanitary sector, aiming to assist pharmaceutical and biotech companies in integrating AI into their R&D processes, particularly given the complexity and specialization required in molecular AI. Our focus is on creating actionable platforms and impactful solutions that accelerate industry research, moving beyond the hype surrounding this technology in recent years.
Products and services
We offer advanced solutions based on Artificial Intelligence and other cutting-edge methodologies for biotech and healthcare (as well as finance, energy, and retail).
Our services include:
- Biotech: Automation of data processing pipelines (transcriptomics, metabolomics) with Cloud and On-premise architectures, creation of datalakes, biological intelligence support with dashboards, and AI platforms for in silico molecular screening, biomarker detection, and omics prediction.
- Healthcare: Healthcare management observatories, forecasting and optimization in hospital and pharmaceutical domains, medical knowledge modeling, safety alerts, and support for electronic prescription, among others.
Areas of interest for future collaborations
- Use AI to accelerate molecule discovery and optimize research processes.
- Predictive analysis platforms: Collaborate on tools for early diagnosis and personalized treatments.
- Automation of bioinformatics processes: Share knowledge in the creation of automated pipelines for genomic and proteomic analysis.
- Integration of health data: Cooperation in the creation of datalakes to improve the management and exploitation of clinical data.