The Challenge

Enhancing research efficiency and innovation

A global biopharmaceutical company’s scientists faced challenges in efficiently querying internal databases and performing complex research and development tasks, such as structure prediction and protein engineering. These tasks were critical for the discovery of innovative medicines but were time-consuming and resource-intensive. The goal was to create a solution that would streamline these processes, reduce cycle times, and enable scientists to focus more on their core research activities.

The Solution

Implementing an AI-driven research assistant

Credera employed a combination of AI/ML models, extensive research data, and agentic workflows to develop a sophisticated research assistant. This assistant integrates conversational AI and interactive visualizations, providing a seamless and intuitive user experience for scientists. The solution was designed to accelerate drug discovery and molecule optimization by offering powerful tools that enhance research capabilities.

The Results

AI-driven research assistant improves efficiency and effectiveness

The collaboration between Credera and the global biopharmaceutical company resulted in a transformative impact on scientific research and innovation. The AI-driven research assistant has significantly improved the efficiency and effectiveness of the client’s research processes.

• Successful integration of more than 10 internal and external systems and AI/ML models to support a wide range of initial use cases

•  More than 200 scientists expected to utilize the research assistant to perform critical research tasks

• Expected 90% reduction in scientists’ reliance on support staff to access research-critical data