R2H
Multi-agent evidence analysis for biomedical research

Clarisyn

The evidence is scattered across papers and databases. The answer shouldn't be.
Clarisyn runs multi-agent analysis across published literature and experimental data, and returns one decision-ready report.

Literature Access · Powered byConsensus

When does Clarisyn actually help?

Master's student

"What does the evidence actually say?"

PhD researcher

"Has this mechanism been studied before?"

Computational biologist

"Which cell lines are most dependent on this target?"

Postdoctoral researcher

"Why do these findings disagree?"

Industry scientist

"Is this target worth pursuing?"

Medicinal chemist

"Will this scaffold bind the pocket, and how confident should I be?"

Professor

"Does the data support that conclusion?"

Research team

"What does the literature suggest we do next?"

Different people. Same moment.

That's when you open Clarisyn.

Step 1: Ask

Ask any biomedical question.

Clarisyn answers it from every angle the question needs, across published literature and experimental data.

Assess the toxicological risk of MX-2414 for human dietary exposure stratify by metabolic activation potential, CYP450 species differences, and propose a tiered testing strategy consistent with JECFA guidelines.
Target validationTarget dependencyMechanism of actionStructure & bindingPreclinical safetyToxicologyADME & BioavailabilityExpression signaturesEfficacy signalsBiomarker selectionPatient stratificationGo / No-go rationaleClinical translationCompetitive landscape+more
Step 2: Analyse

Multi-agent analysis in progress.

Automated · 30 min

Automated

Multi-agent analysis across literature and data.

Optional
Expert review · 24 hrs

Expert review

A domain expert validates the findings before delivery.

Step 3: Receive

Your decision-ready structured report. In three layers.

Layer 1· Intelligence Report

Intelligence Report, highlighting the key insights and actionable takeaways.CYP3A4-mediated inhibition at clinical exposure levels presents a low but non-negligible DDI risk. Based on available in vitro and in vivo data, dose adjustment guidance for co-administered substrates is warranted prior to Phase I initiation.Agent consensus: 2 of 3 agents flagged DDI risk as clinically actionable. 1 agent rated risk as low-moderate pending in vivo confirmation.

Layer 2· Reasoning & Process

Reasoning

Reasoning, scoring, and decision steps are shown in full for transparency.

Biological rationale and competitive intensity weighted across 7 criteria.

Each indication scored on a 1–5 scale per criterion, summed into a final weighted score.

Process

Intermediate steps are logged for full process transparency.

All reasoning steps are documented in a single file, with each agent's process clearly separated.

Full log: clarisyn_report_log.docx
Layer 3· Evidence & Sources

This analysis was built on 49 curated sources, synthesized across 200+ datasets spanning preclinical and clinical literature.

1
FDA Guidance, 2019· IND Safety Reporting (Regulatory)
2
Chen & Zhang, 2023· J. Tox. Sci. (PubMed)
3
ClinicalTrials.gov· NCT04736706 · Phase I DDI Study (ClinicalTrials)
4
PubChem CID 2723949· CYP3A4 binding affinity data (ChemDB)
...

What sets Clarisyn apart?

Every response draws from millions of academic papers, clinical trials, chemical databases, and protein structures.

ChEMBL
ACS
AlphaFold
ClinicalTrials.gov
OpenAlex
PubMed
Consensus
Database

General AI searches the web. Clarisyn searches the science. Structured, layered output shaped with scientists, built for scientists.

Is the hepatotoxicity signal observed in rats clinically relevant in humans?

Every question is investigated by specialised agents with different scientific roles, searching the literature, querying data, running analyses and verifying claims. They compare findings, challenge conflicts and reconcile the evidence into one answer.

SPECIALISED AGENTS
Literature
Data + Compute
Verification

AGENTS CROSS-CHECK

RECONCILED
One answer, cross-checked

Clarisyn works across published literature and computational biology: dependency and viability datasets, expression signatures, structure prediction, docking. The question shapes the sources, not the other way round.

Clarisyn

Reports can be shared, annotated, and discussed with your team. When a second opinion matters more than a second look, an independent expert can review it: professors, MDs, PhD researchers, without leaving the platform.

Collaborate
AK
MB
TS

Can we rerun this with updated tox data?

Expert review
MD
PhD
Prof

Clarisyn doesn't stop at your question. It maps the full picture, with follow-up questions already answered.

Executive Summary
Clinical Reasoning
Mechanistic Interpretation
Real-world Implication
Next Step Recommendation
Suggested Assay