Pharmaceutical and Biotechnology Solutions

Design and develop a comprehensive platform that manages submission planning, publishing, and regulatory document lifecycle, with support for multi-region compliance and robust data exchange mechanisms.

Design and develop an end-to-end data science system encompassing data ingestion, transformation, storage, machine learning model development, evaluation, and deployment, with strong versioning and scalability features.

Development of a cloud-native SaaS platform featuring microservices architecture, advanced security, integrated analytics, and intelligent automation tools to support regulatory compliance and user engagement.

Design an AI-powered platform that automates compliance checks for clinical trial protocols, promotional material, and packaging inserts, customizing reviews based on regional regulations while safeguarding sensitive data.

A cloud-based, interactive bioreactor simulation tool capable of modeling various bioprocess parameters, fitting models to experimental data, and conducting virtual experiments to optimize antibody production conditions.

Development of an intuitive, responsive user interface with enhanced visualization, streamlined workflows, and advanced search functionalities, supporting clinical decision-making through evidence-based data representations.

Development of an AI-powered platform that automates the review of promotional materials for compliance, provides instant access to regulatory documents, and ensures consistent enforcement of guidelines.

Development of integrated, scalable bioinformatics workflows that automate data intake, validation, analysis, and result storage, utilizing a workflow management system to ensure reproducibility and ease of maintenance.

Design and implement a GxP-compliant, collaborative data science environment that integrates automation, central management tools, and secure access controls, supporting efficient and reproducible workflows.

A computational system that processes RNA and ligand structural data, computes interaction features, and uses advanced neural networks (e.g., transformer architectures) to predict binding interactions with variable-length RNA sequences. The platform should support training, validation, and deployment of predictive models, with capabilities for high-throughput screening.

Develop a centralized, scalable collaboration platform that supports multiple organizational units with independent management, optimized licensing, and integrated workflows.

A unified platform that consolidates experimental data, observations, and related documentation, supporting end-to-end research workflows from initial testing to approval stages.