R2H
Multi-agent biomedical analysis platform

Clarisyn

Every drug candidate deserves a fair question.
Clarisyn answers it through multi-agent reasoning, expert validation, and one decision-ready report.

Step 1: Ask

Ask any biomedical question across any stage of drug discovery.

Clarisyn answers it thoroughly, traceably, from multiple angles.

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 validationMechanism of actionPreclinical safetyToxicologyADME & BioavailabilityEfficacy signalsBiomarker selectionPatient stratificationGo / No-go rationaleClinical translationCompetitive landscape+more
Step 2: Analyse

Multi-agent analysis in progress.

30 Min

Automated.

Multiple agents run in parallel.

Up to 24 hrs

Human-in-loop.

Experts can review and validate findings.

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 R2H apart?

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

ChEMBL
ACS
AlphaFold
ClinicalTrials.gov
OpenAlex
PubMed
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 response runs through a network of specialized agents, each checking the other's work. Not one model's opinion. A verified consensus.

Agent A
Agent B
Agent C
Verification Layers
Reference Layer

30 minutes or up to 24 hours. Same question, different depth. Speed when you need it. Depth when it matters. You choose.

YOU CHOOSE
30 min
AutomatedMulti-agent
or
24 hrs
Human-in-loopExpert reviewed

Invite teammates to review your report together. Or tap into a curated pool of professors, MDs, and PhD researchers for an independent perspective, 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