Logica
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About
Logica is a pioneering AI-driven platform designed for small molecule drug discovery, combining the expertise of Charles River and Valo Health. With a focus on enhancing the predictability and success rates in drug development, it provides a unique approach through risk-sharing business models. This platform aims to guide researchers from target identification to the candidate nomination phase using advanced AI and machine learning models. Logica offers two core deliverables: Logica-AL (Advanceable Lead) and Logica-C (Candidate), each catering to different stages of the drug discovery process, ensuring efficiency and reliability in generating viable drug candidates. The platform emphasizes transparency in pricing and timelines, freeing clients from the uncertainties traditionally associated with drug development.
Platform
Task
Features
• predictive modeling
• ai/machine learning integration
• risk-sharing business model
• high-throughput screening access
• comprehensive discovery platform
FAQs
What is Logica?
Logica is a joint product offered by Charles River and Valo Health that aims to develop a small molecule product against a given target according to your specifications.
How do clients work with Logica?
Logica is delivered as a drug discovery platform intended to result in a preclinical candidate in two parts: Logica-AL (Advanceable Lead) and Logica-C (Candidate).
What can the AI-powered drug solutions Logica-AL and Logica-C do for me?
Logica combines world-class wet lab data generation platforms with best-in-class machine learning chemical design technology aimed to deliver better leads, for better drugs.
Am I obligated to start Logica-C?
We recommend considering the advantages of continuing to Logica-C for a comprehensive drug development journey. However, it’s your choice, and Logica-AL and Logica-C are flexible enough to meet your requirements independently.
What about clients who feel unsure about AI?
Logica’s business model internalizes the risk of applying AI to drug discovery.
Pricing Plans
Custom Plan
Free Plan• Risk-sharing model
• Predictable outcomes
• AI-accelerated drug discovery
• Access to high-throughput libraries
• Integration of wet lab and computational capabilities
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