Description
BenchSci's EMET platform is designed to unify data, AI models, workflows, and scientific reasoning into a single environment tailored for preclinical research and development (R&D). This innovative platform transforms how scientists approach their work, allowing them to ask complex research questions in plain language. EMET's orchestration layer intelligently decomposes these questions, identifies the necessary domain-specific skills, and connects them across numerous trusted scientific databases and over 38 million scientific publications. This includes access to 16 million closed-access papers through dedicated partnerships, ensuring that researchers have the most comprehensive data at their fingertips.
The EMET platform positions researchers as active conductors of their research, rather than passive recipients of AI-generated outputs. It provides traceable, explainable, and actionable insights throughout the entire preclinical R&D journey, from hypothesis generation to lead optimization. By leveraging a proprietary knowledge graph with 858 million nodes and 2.2 billion relationship edges, EMET delivers insights that are not only accurate but also grounded in the latest scientific evidence.
BenchSci's commitment to building a platform by scientists for scientists is evident in its development process, which involved over a decade of collaboration with PhD scientists in biopharma R&D. The platform boasts over 100 proprietary scientific skills that cover various aspects of research, including target identification and experimental design. EMET's neuro-symbolic evaluation loop achieves over 95% accuracy, significantly outperforming traditional large language models.
BenchSci offers two access plans: a free academic tier for academic and nonprofit organizations, and a custom enterprise plan designed for pharmaceutical and biotech companies. The enterprise plan includes full data access, custom integrations, and dedicated support, ensuring that organizations can tailor the platform to their specific needs. With a focus on security and compliance, BenchSci integrates seamlessly with existing workflows and data, making it an invaluable tool for researchers aiming to accelerate drug discovery and improve patient outcomes.
BenchSci's Core Features
AI Models Integration
Custom Integrations
Enterprise-grade Security
Dedicated PhD Support
Access to Closed-access Publications
Knowledge Graph with 858M Nodes
Customizable Workflows
Real-time Data Insights
How to use BenchSci?
Input Research Question: Enter your complex biological question into the EMET platform.
Planning: EMET recognizes your intent and initiates the appropriate workflow.
Execution: The platform utilizes various skills, tools, and models to process your question.
Synthesis: EMET verifies and grounds the information using its knowledge graph.
Output: Receive verified insights, reports, and visualizations based on your inquiry.
BenchSci's Use Cases
- Hypothesis Generation
- Target Identification
- Experiment Design
- Lead Optimization
- Data Integration
