Client: Mid-size pharmaceutical company (Bioprocess Development R&D Area)
Timeline: 12 months (baseline development and deployment), +4 months for add-ons
Overview: Developed a GAMP-compliant, web-based platform tailored to bioproduction workflows, integrating multi-omics data with phenotypic, imaging, environmental, media analytics, and metadata automatically. The platform leverages AI-driven classification models to uncover correlations and establish custom scoring systems aligned with unique bioproduction needs, streamlining assay development and analysis for complex biological systems.
Deep Learning GAN Platform for Omics Data Augmentation
Client: Mid-size pharmaceutical company (Translational Medicine R&D Unit)
Timeline: 12 months (development, benchmarking, and deployment)
Overview: Developed a deep learning–based GAN methodology employing the Atlas model on high-dimensional omics datasets with limited sample sizes. This approach generated synthetic samples with far greater representativity than traditional methods (SMOTE, random oversampling), enabling class balancing and more accurate predictive modeling in biomarker discovery pipelines.
Overview: Developed an open-access, web-based database integrating structural and conformational data on protein cavities, combining multiple cavity detection algorithms with protein sequence and functional annotations. The platform enables researchers to explore dynamic cavity features across protein conformers, supporting drug design and fundamental protein structure-function studies.
Full-Stack E-Commerce Platform with Intelligent Chatbot
Versatile Multi-Species Multiomics Platform
Client: VC-backed biotech startup
Timeline: 10 months (development, benchmarking, deployment), with ongoing support as needed
Overview: Developed a GAMP-compliant API to monitor and control cell health in real time by extracting detailed cell insights and unequivocally defining cell states for specific cell types such as CAR-T, iPSCs, and MSCs. The tool is adaptable to other cell types and experimental contexts, enabling faster and more reliable image-based cell analysis.
Full-Stack E-Commerce Platform with Intelligent Chatbot
Versatile Multi-Species Multiomics Platform
Client: Contract Research Organization (CRO)
Timeline: 9 months (development, validation, deployment), followed by ongoing maintenance under CRO data governance policies
Overview: Developed a flexible platform to monitor cell culture health markers—including pluripotency, differentiation, and apoptosis—across multiple species. The tool integrates gene expression analysis, biomarker discovery, and homology analysis, ensuring cross-species adaptability and maximizing the utility of multiomics data across diverse research projects.
Full-Stack E-Commerce Platform with Intelligent Chatbot
Full-Stack E-Commerce Platform with Intelligent Chatbot
Full-Stack E-Commerce Platform with Intelligent Chatbot
Client: Growing E-Commerce Retailer
Timeline: 10 months (development, testing, deployment). Ongoing maintenance and add-on development
Overview: Developed a scalable full-stack e-commerce platform integrated with an AI-driven chatbot. The chatbot uses curated internal datasets to answer FAQs, assist clients with automatic purchases, and provide real-time package tracking. The system enhances customer experience and streamlines purchase workflows with personalized assistance capabilities under development.
Usamos cookies para analizar el tráfico del sitio web y optimizar tu experiencia en el sitio. Al aceptar nuestro uso de cookies, tus datos se agruparán con los datos de todos los demás usuarios.