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The Evidence Based Discovery Platform for Biomedical Research

The map and GPS for biomedical research

Transforming 240M+ scientific papers into an interactive map of how genes, drugs, diseases, proteins, and pathways connect, with the evidence behind every relationship.

Explore. Verify. Trace.

Scientific knowledge is growing faster than researchers can navigate it.

Millions of papers contain the evidence you need, but that evidence is fragmented across studies, disciplines and databases. Researchers spend hours searching, comparing papers, resolving contradictions and piecing together biological mechanisms.

InTree brings that evidence together in one place, so you can explore, verify and trace it.

One platform. Three ways to work with scientific evidence.

InTree · Explore

Explore the scientific landscape

See what connects to what.

Start with a gene, drug, disease, protein or research question. InTree maps the relationships surrounding it across the scientific literature. Discover established relationships, unexpected connections and emerging areas of research, all in one interactive evidence map.

Scenario 1 · Just exploring

Start with one question. See the whole landscape.

What is connected to metformin?

InTree maps the genes, diseases, pathways, treatments, effects and other relationships surrounding metformin, allowing you to see the broader biological landscape before diving into individual papers.

Watch it happenone seed · real result data
Explore
a gene, drug, disease, or claim…
Explore →

Type a gene, drug, or disease. Add more entities to see how they connect.

Scanning knowledge base
Expanding scientific context
Cross-referencing with literature
Synthesizing patterns
0s elapsed · cached repeats are instant
One word is a complete query. No query language, no filters to learn.

Scenario 2 · The intersection you work in

Find connections at the intersection of research areas

Metformin + exercise + gut microbiome

Combine multiple concepts to see where different bodies of research intersect, and uncover the relationships connecting them.

Watch it happenthree seeds · real result data
Explore
a gene, drug, disease, or claim…
Explore →

Type a gene, drug, or disease. Add more entities to see how they connect.

Scanning knowledge base
Expanding scientific context
Cross-referencing with literature
Synthesizing patterns
0s elapsed · cached repeats are instant
A drug, a behaviour, an ecosystem. Commas combine them into one query.
Still Explore · The graph is a workspace

The map is your research workspace

Filter evidence. Focus on a relationship. Hide noise. Isolate a category. Inspect the underlying papers.

Everything you see can be investigated.

Watch it happenthe toolkit · real result data
191 entities · 368 typed links
The everyday moves, demonstrated on the real metformin map.

Every relationship is backed by evidence.

Click any relationship to see the exact sentences from the original publications that support it.

No black box. No hidden evidence.

Exact supporting sentenceSourceStudy typeEvidence strengthDOISupporting / contradicting evidence
Evidence drawer showing 50 real papers behind metformin → type 2 diabetes
The real evidence drawer: 50 papers behind metformin → type 2 diabetes, each quoted at the sentence level.
InTree · Verify

Verify scientific claims

Does the evidence actually support this relationship?

InTree evaluates the literature supporting a claim and surfaces evidence that supports, contradicts or indirectly relates to it, weighted by study quality.

See the evidence. Assess the strength. Make your own judgment.

Watch it happenone claim · real result data
Verify
Subject - type any name
e.g. aspirin
Object - type any name
e.g. stroke
Verify

subject ↔ related to object

Scanning knowledge base
Expanding scientific context
Cross-referencing with literature
Synthesizing patterns
0s elapsed · cached repeats are instant
Subject, relationship, object. InTree suggests entities as you type, and can parse a plain-English claim too.
InTree · Trace

Trace biological mechanisms

Does the entire pathway hold up?

Follow a proposed mechanism step by step. InTree evaluates each relationship independently, identifies the weakest link and shows where the evidence is strong, weak or missing.

A mechanism is only as strong as its weakest link.

Watch it happentwo hops · real result data
Trace
1
Start - e.g. TP53
activates
2
Intermediate step… (optional)
activates
3
End - e.g. apoptosis
add step Trace
Scanning knowledge base
Expanding scientific context
Cross-referencing with literature
Synthesizing patterns
0s elapsed · cached repeats are instant
A mechanism is a chain. Number the steps and set each hop's relationship: here, activates. Auto-detect works too.

Ask the question you’re actually working on.

Try InTree with your own research question, free, without an account.

Don’t trust the AI. Check the evidence.

Every relationship is traceable to the scientific literature.

Evidence-first: see the exact sentence behind every relationship.
Balanced: supporting and contradictory evidence are shown side by side.
Quality-aware: evidence is weighted by study type and strength.
Transparent: established, emerging and preliminary relationships are clearly distinguished.
Reproducible: share the evidence map and let others inspect the same sources.

Built on the scientific sources researchers already trust

240M+ scientific papers

PubMed · Semantic Scholar

Cross-checked with curated biomedical databases

Reactome · WikiPathways · Open Targets · ClinicalTrials.gov · FDA FAERS

Every quoted sentence links back to its original publication.

Pricing

Start exploring scientific evidence for free.

Every example on this page runs free without an account. A free account adds your own searches every month, no card needed.

Loading plans…

Questions, or a team or lab plan? support@intree.ai

What does the evidence say?

Put your own research question to the test. Ask about the entity you actually work on, the first searches are free.