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Giles AI

AI-powered research assistant for the healthcare
General Information
Founders:
Constantin Gorgan, Rishi Wadhera, Shahir Raja
Founded Date:
2023-01-01
Headquarters Region:
Europe, Middle East, and Africa (EMEA)
Domain Rating:
0.1

Overview

GilesĀ® is an AI-powered research assistant designed specifically for the healthcare, clinical research, pharmaceutical, and public health sectors. It simplifies and accelerates access to medical data, clinical studies, regulatory information, and academic research by integrating multiple data sources into one unified platform. Whether supporting drug development, regulatory compliance, or clinical project management, Giles empowers professionals to work smarter and faster with real-time insights, document analysis, and automated research workflows.

Key Features

  • Multi-Source Integration: Access PubMed, Medline, ClinicalTrials.gov, FDA databases, and more from a single platform.
  • Real-Time Research Summarization: Generate clear and concise summaries of research papers and clinical trials.
  • gBox Document Analysis: Upload multiple documents and extract key data points, compare documents side-by-side, and manage references.
  • Regulatory Compliance Automation: Centralize and automate compliance checks against healthcare regulations.
  • Multilingual Capabilities: Translate summaries and findings in over 55 languages.
  • Data Export: Quickly extract data into CSV files for further analysis or reporting.
  • Custom Alerts and Topic Tracking: Stay updated on new research, clinical trials, and regulatory changes.

Pros

  • Time Efficiency: Rapid access to diverse research data and compliance information.
  • Research Accuracy: Generates exact citations and references to maintain academic integrity.
  • Broad Applications: Suitable for pharma, biotech, CROs, academia, healthcare providers, and public health organizations.
  • Collaboration Ready: Easily share findings, summaries, and references with teams.
  • Comparative Analysis: Unique side-by-side document comparison feature enhances research validation.

Cons

  • Industry Focused: Primarily tailored for healthcare, pharma, and clinical research; may not be ideal for general research purposes.
  • Learning Curve: Requires some initial familiarization to fully leverage multi-source integration and comparative features.
  • Cost Barrier: Advanced features and enterprise integrations might be cost-prohibitive for smaller institutions or individual researchers.
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