Resources
Guides, insights, and documentation
Everything you need to get the most from Amass — and to stay informed on life science research intelligence.
Why biomedical AI fails at retrieval before it fails at reasoning
A 10-question benchmark across Amass BioMedCore, Claude with PubMed, and ChatGPT with web search. Retrieval, not reasoning, is biomedical AI's bottleneck.
Eval First, Model Second: Inside the TrialCore Iteration Loop
A look at the evaluation infrastructure behind one of Amass's core retrieval services. How we build the datasets, why we trust the labels, and the loop we run to actually move metrics.
Comparing 4 biomedical MCPs using a fixed agent harness
Aggregate results and a worked NSCLC case study from a four-server biomedical MCP benchmark (Amass, PubMed, Consensus, Paperclip).
Monitor description and examples
Introducing Planner: A New Way to Guide Your Research
Introducing *Core: The Intelligence Architecture Behind Amass
All six external data sources are being renamed to a unified *Core naming convention — BioMedCore, ScholarCore, PatentCore, RegulatoryCore, TrialCore, and…
Global Data Context and Placeholder Positioning
Enhanced accessibility and configurability of report placeholders and global data context in the Amass platform improve user experience.
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