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D2 Discovery: AI's Stealthy Drug Hunter
A 9-person team using graph analytics to outmaneuver pharma giants in drug discovery.
In a market flooded with billion-dollar AI drug discovery promises, D2 Discovery operates with surgical precision and a team of just 9 people. They aren't chasing hype; they're solving the fundamental bottleneck in pharma: connecting disparate data to find the right molecules faster.
"D2 Discovery isn't trying to build the next AlphaFold; they're building the connective tissue that makes existing models actionable for real-world drug discovery."
The Lean, Deep Team
With only 9 employees, D2 Discovery proves that domain expertise trumps headcount. Their leadership trio—Randy Kerber (CTO), Chris Gessner (Director of Data Science), and Joel Duerksen (IT Science & Biology Consultant)—represents a perfect trifecta of technical execution, algorithmic rigor, and biological intuition. This isn't a generic SaaS shop; it's a specialized unit built to navigate the complex intersection of graph theory and molecular biology.
The Graph Analytics Edge
While competitors throw massive neural networks at the problem, D2 Discovery leverages graph analytics to map the hidden relationships between biological entities. This approach is uniquely suited for drug discovery, where the problem isn't just data volume but data connectivity. By treating biology as a network rather than a sequence, they can identify non-obvious drug targets and repurposing opportunities that linear models miss.
The company's tech stack reveals a pragmatic approach: Squarespace for presence, Tailwind and Bootstrap for rapid UI development, and a focus on core AI/ML capabilities rather than flashy infrastructure. With zero recorded monthly visits and no organic keywords, D2 Discovery is either in stealth mode or deliberately flying under the radar—a strategic move in a sector where premature visibility invites copycats and undue scrutiny.
- Graph-based analytics for non-obvious target identification
- Specialized focus on pharma and healthcare business problems
- Lean operational model maximizing R&D efficiency
- Strategic silence: zero public traffic footprint
The Quiet Giant in AI Drug Discovery
While others burn cash on marketing, D2 Discovery invests in the science that actually matters.
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Artificial Intelligence, Machine Learning and graph analytics to solve business problems in drug discovery and healthcare.
Artificial Intelligence, Machine Learning and graph analytics to solve business problems in drug discovery and healthcare.
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About d2discovery.com
Artificial Intelligence, Machine Learning and graph analytics to solve business problems in drug discovery and healthcare.
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d2discovery.com uses 9 technologies across their website including Adobe Fonts, Google Fonts, HSTS, Squarespace, and more.
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Adobe Fonts, Google Fonts
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Squarespace
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Twitter Cards
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Bootstrap, Tailwind CSS
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d2discovery.com receives approximately 0 monthly visitors. The website has a bounce rate of 0% with visitors viewing an average of 0.0 pages per visit. Users spend an average of 0:00 on the site.
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