BenchSci ASCEND

Categories: Research, Healthcare, Data Analysis | Pricing: Enterprise | Official Website ↗

BenchSci ASCEND is a neuro-symbolic AI platform that decodes disease biology to accelerate preclinical R&D in biopharma.

BenchSci ASCEND leverages a unique Biological Evidence Knowledge Graph (BEKG) and advanced foundation models to provide a unified view of diseases. It integrates diverse scientific data, including publications, multi-omics, and clinical trials, and offers AI copilots and co-scientists to accelerate drug discovery. The platform can also ingest proprietary internal data for a customized and secure experience.

Key Features

Neuro-symbolic AI platform for disease biology
Biological Evidence Knowledge Graph (BEKG)
AI copilots and co-scientists
Integration of public, licensed, and internal scientific data
Human-in-the-loop curation by scientists

Pros

Significantly accelerates drug discovery and R&D
Mitigates AI hallucinations with evidence-backed data
Integrates diverse data sources for a comprehensive view
Deep domain expertise in biopharma workflows

Cons

Likely high cost due to enterprise model
Requires significant integration into existing workflows
Specific technical expertise may be needed for full utilization

Use Cases

Understanding complex disease mechanisms
Identifying novel drug targets
Accelerating hypothesis generation and experimental design
Reducing irreproducible findings in research

Best For

Biopharmaceutical companies
Preclinical R&D teams
Drug discovery scientists
Research institutions focused on disease biology

Platforms: Web

Watch demo on YouTube ↗

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