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Our Approach
We Don't Believe in One AI Model for Every Problem
Different scientific problems require different approaches.
We work across leading foundation models and AI technologies—including:
OpenAI GPT
Anthropic Claude
Google Gemini
Mistral AI Mistral
DeepSeek
single-cell Foundation Models
We select the right model, architecture, and workflow for the scientific problem rather than forcing every problem into a single technology.
Model-Agnostic. Problem-Focused.
The question isn't:
"Which AI model should we use?"
The question is:
"What is the scientific problem we need to solve—and what combination of AI, data, and biology will solve it best?"
Scientific Expertise
AI Expertise Is Not Enough. Biology Matters.
A technically impressive AI model does not automatically produce a scientifically meaningful result.
Drug development requires an understanding of:
Biology → Disease → Mechanism → Biomarkers → Patients → Clinical Context
Our approach combines AI expertise with an understanding of the drug-development lifecycle and biological sciences.
This enables us to move toward:
Data → AI → Biological Interpretation → Scientific Insight → Decision
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