Amass App
Ask in plain language.
Check every claim.
Papers, trials, patents and regulatory labels each live in their own database. Amass can search all eight *Cores for your question, shows every search it ran, and cites each claim to a source you can open.
Ask or Build
One question, two ways to work
Type it the way you'd ask a colleague, then pick a mode. Ask answers in the thread, with every claim cited. Build turns the same question into a report plan: sections first, yours to change before anything is written. Both have access to all eight *Cores.
Build
Plan the report before it's written
Switch the composer to Build and the question comes back as a plan instead of an answer. Amass scopes the work and lays out the report's sections in order, each with its sub-topics, and you can add sections and sub-topics of your own. Change the shape before a word is written, then press Run plan.
Show the working
Every layer it searched, every query it ran
The trace lists each *Core Amass went to and the exact search it ran there, in order. When an answer looks off, you can see where it looked and where it never did. Each claim carries a numbered citation, and the thread suggests where to go next: the patent angle, the latest news, the clinical evidence or a full plan.
Citations
Cited and read are two different lists
Every reference opens: a DOI, an NCT number, a patent number, a regulatory label. Amass keeps what it cited apart from what it read without citing, so you can weigh the evidence yourself. Filter references by *Core, hover a citation to preview the record, and open it for the abstract and identifiers.
Evidence views
What it cited, laid out four ways
Once a thread cites enough records, they open as four charts drawn straight from the citations, no model in between: every mark opens its record, and every page copies or downloads as a PDF.
Trial landscape: the cited trials in phase lanes on one time axis, split at today, cut to one drug.
Approval timeline: each cited FDA and EMA authorization, from its decision to today.
Literature timeline: the cited papers by study design and date, filtered to one trial.
Drug pipeline: every drug the records name at its DrugCore stage, marked where a cited authorization is in force.
Projects
Keep a line of inquiry together
A project groups the tasks and reports that belong to one question (a target, an asset, a therapeutic area), so the work builds up in one place. Open a project to see its tasks, each with the reports it produced.
Work with your team
One workspace, shared evidence
Your workspace has a name, members and roles (owner, admin, member), and you invite a colleague by email. Tasks, projects and reports live in the workspace, so the trace and citations behind a conclusion are there for whoever picks it up next.
Business: up to 10 seats with a shared workspace and usage pool. Every plan includes MCP access.
Reports
The thing you walk away with
A finished report is a document with contents, sections and every claim numbered to a source rail you can filter by data layer. The plan it was built from, the map of what it covered and the full source log are one tab away, and the thread stays beside it.
The sample PDF is a real export from the app: 31 pages on TROP2 antibody-drug conjugates available to license, with 192 sources and every claim numbered to one of them. The frame below is a different report, on Lp(a), drawn for illustration.
Report allowance by plan: 1 on Free, 5 on Basic, unlimited on Standard (fair use), unlimited and pooled across seats on Business.
Export
Take it with you
A finished report leaves the app as a PDF from one button in its header, Export report as PDF, and a thread exports the same way. Results tables download as CSV or Markdown. The citations travel with the document: the sample report above is one of these exports, with all 192 numbered sources.
One engine, eight layers
One question reaches all of them
Biomedical literature, scholarly papers, trials, molecules, genes, patents, the regulatory record and the live web, searched in one pass. The records are cross-linked, so a trial leads to its drug, and the drug to its target, its patents and its approvals.
- BioMedCore 43M+
- ScholarCore 233M+
- PatentCore 170M+
- RegulatoryCore FDA + EMA
- DrugCore 22K+
- TrialCore 1.2M+
- GeneCore 43K+
- WebCore Live
Everywhere you work
The same engine inside your assistant
The Model Context Protocol (MCP) connection is on every plan. Ask from Claude, ChatGPT, Claude Code or Codex and the answer comes back with the same citations, from the six *Cores the MCP serves.
Claude
Claude Code- ChatGPT
Codex- Cursor
- Microsoft Copilot
Test it on a question you've already answered
One question is enough to tell whether it holds up. Start on the free plan, no card required.
- Data
- No training on your data
- Hosting
- EU-hosted, enterprise
- Isolation
- Tenant-isolated by architecture
- Certification
- ISO 27001, SOC 2, NIS2: in motion