End-To-End Delivery of AI-Driven Research Platforms

How 7N delivered a platform to optimize data accessibility and streamline collaboration

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CHALLENGE

Unlock data potential

A global pharmaceutical company sought to enhance its research and early development capabilities by leveraging data and digital tools.​

With 200 ongoing digital projects, the client needed a unified approach to managing research data and streamlining the idea-to-approval process. To support this, they partnered with 7N to develop and architect two AI-powered platforms to optimize data discovery and research efficiency.

SOLUTION

AI-supported research processes

7N played a pivotal role in designing, developing, and architecting two AI-driven research platforms to enhance data accessibility and research efficiency.

To bring these AI solutions to life, 7N delivered end-to-end architecture and software development, creating a scalable, intelligent, and high-performance research ecosystem.

Platform 1 (knowledge graph tool) centralizes internal and external research data into a single, searchable platform, enabling researchers to quickly uncover connections between medicines, diseases, and proteins

Platform 2 (research collaboration tool) streamlines the research process, providing a structured and transparent system for submitting, tracking, and validating ideas, ensuring efficient collaboration and eliminating duplicate efforts

IMPACT

Global efficiency gains

Enhanced research processes
User surveys reported up to 100% improvements in research efficiency:

  • 18% of users: 50-100% faster research

  • 40% of users: 20-50% efficiency boost

  • 33% of users: 10-20% efficiency improvement

Global adoption 
1,000+ researchers worldwide use platform 1 to streamline research efforts

Faster research approvals
Platform 2 standardized the idea submission process, reducing approval times and improving transparency

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