A leading pharmaceutical client faced challenges in keeping their sales representatives updated with product information, hindering their ability to effectively communicate with healthcare providers.

SmartRep, our AI-powered solution, leverages Retrieval-Augmented Generative AI (RAG) to provide sales representatives with instant access to relevant product information, enabling them to personalize communication and refine their communication skills through simulated doctor interactions.

• Azure AI Search
• RAG : Technologies
• GPT - 4

A pharmaceutical client sought to improve data management in their clinical trials. Existing practices involved manual data collection on local systems by assigned team members. This method presented a risk of data loss from system failures. While cloud storage was an option, access was restricted to the account holder, limiting collaboration among team members.

To overcome these challenges, Intelligence Center was created. Intelligence Center features an intuitive interface, advanced search functions, and automated document indexing, empowering teams to access and utilize patient data efficiently. This translates to improved data security, streamlined collaboration, and ultimately, the development of more patient-centric medicines. Intelligence Center impact was recognized with a prestigious "Made WITH Patients" Award, highlighting its contribution to meaningful patient engagement and improved clinical trial outcomes.

• Data Management Platform
• AI-powered Document Indexing
• Data Visualization

A pharmaceutical client sought to proactively identify potential adverse events (AEs) from a wide range of data sources, including social media, OnePSP, EFFI, and customer feedback. To address this challenge, we implemented a cutting-edge solution leveraging a generative AI model.

Anomaly Explorer, AI-powered solution provided by us, analyzes data from diverse sources, detecting patterns that might indicate safety concerns or medication risks. Trained on a vast dataset of healthcare-related information, the model efficiently analyzes text data, identifying potential anomalies associated with adverse events.

• Anomaly Detection
• Model Catalogs
• Global languages support

A pharmaceutical client aimed to enhance chatbot efficiency, leading to the development of a multi-agent system for streamlined responses. This system includes a manager agent that coordinates two specialized sub-agents—one for data queries and another for reasoning-based questions. Users can upload documents, enabling the chatbot to index content in an Open Search Vector Database and access both structured data and insights. Advanced semantic search and query refinement ensure a smooth user experience.

• Multi-Agent Chatbot
• Advanced RAG
• GPT - 4