Thomas Hughes
CEO
Virtual Science AI
The startup offers an AI-driven analytics platform that provides real-time actionable insights for stakeholders in research and development, medical affairs, and commercial life sciences. This platform enhances communication and interaction, enabling healthcare professionals to make informed decisions throughout the product life cycle.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 21 months ago
Funding
Raised to date
$770KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Life science companies often struggle to efficiently gather and analyze insights from healthcare stakeholders across various engagement formats. Traditional methods of insight generation can be slow, costly, and fail to capture the full depth of stakeholder opinions, hindering informed decision-making throughout the product lifecycle.
Solution
Virtual Science AI provides an AI-powered platform that accelerates and enhances insight generation from healthcare professionals (HCPs) and patients. The platform aggregates interactive data from various engagement formats, including in-person, virtual, hybrid, and asynchronous interactions. Using medically trained AI, the platform delivers rapid qualitative and quantitative analytics, identifying key trends, themes, and topics. This enables life science teams to gain faster, clearer, and deeper insights, leading to better-informed strategies and accelerated decision-making.
Target Audience
The primary target audience includes stakeholders in research and development, medical affairs, commercial operations, and market access within life science companies.
Features
- Aggregates interactive data from HCP and patient panels, as well as internal data sets
- AI-driven analytics for rapid qualitative and quantitative insights
- Customizable engagement formats (in-person, virtual, hybrid, asynchronous)
- Sentiment analysis to understand the emotional context of stakeholder feedback
- Therapeutic area-specific AI models that improve accuracy over time
- Identifies customer challenges and information gaps
- Maps patient pathways to optimize healthcare service delivery
- Facilitates consensus whitepaper production
- Supports the development of training and communication materials for HCPs
- Enables rapid learning across different regions