Veliora

A new economy for biomedical research
powered by agentic intelligence.

Structured insights for humans.
Coordinated agent pipelines for end-to-end research.

CircleArcx402
User-requested biomedical research workflows
Independent review before final output
Specialized agents for evidence gathering
Traceable research trail

What Is Veliora

Advancing biomedical research

Synthesize biomedical data into high-quality research reports — combining deep literature mining, rigorous evidence scoring, and end-to-end reproducibility.

How It Works

A research request becomes an economic workflow

The user-facing experience stays simple. The payment and coordination complexity stays in the agent layer.

Step 1

Submit a research request

Choose the disease area, describe the research question, and fund the research job to start the workflow.

Step 2

Specialized agents gather evidence

Specialized agents review the literature, screen candidate molecules, map disease biology, score the strongest leads, and challenge reportable candidates before delivery.

Step 3

Receive a structured research brief

Receive reportable candidates, early-stage hypotheses, or pipeline-reviewed signals with scoring context, key cautions, next-step checks, and a traceable research trail.

Why Arc + Circle Nanopayments

Infrastructure for low-value research payments

Our workflow depends on small paid research steps for data access and evaluation. Arc and Circle make that model practical through gasless payment authorization and batched settlement on Arc.

Per-action research economics

Our workflow breaks research into small paid steps for data access and evaluation. Circle Gateway keeps those low-value actions practical by batching settlement instead of forcing every payment to stand alone onchain.

USDC-native transaction flow

Buyers authorize payments in USDC, and Arc keeps payment and gas logic aligned around the same asset instead of introducing a separate volatile gas token into the workflow.

Fast finality for coordination

Research runs involve many sequential paid actions. Fast finality helps the workflow continue without long pauses between steps.

Data & Intelligence

Built on the leading biomedical databases and research systems

Each analysis is built from traceable scientific sources and specialized research agents that structure evidence into a reviewable output.

Literature

PubMed / MEDLINE

36M+ peer-reviewed papers. Full-text mining, PMID tracing, evidence scoring.

Drug Database

ChEMBL

2.4M+ bioactive compounds. Target binding, mechanism of action, clinical annotations.

Disease Biology

OpenTargets

Disease-target associations and pathway-level target context used to anchor mechanism-first ranking.

Trials

ClinicalTrials.gov

480K+ registered studies. Active trial landscape, eligibility, NCT tracing.

Task-specific research orchestration

Each specialist agent handles a distinct research task, from literature review and compound screening to pathway analysis and structured evaluation.

Agent Pipeline

PI Agent

Dr. Iris

Research Orchestrator

Receives the research request, coordinates all downstream agents, manages the USDC payment flow, and submits the final deliverable on-chain.

Literature

Dr. Mira

PubMed + OpenAlex

Mines peer-reviewed papers, extracts evidence scores, clinical maturity, study types, and returns ranked PMIDs with full provenance.

DrugDB

Dr. Rex

ChEMBL + UniProt + OpenTargets

Queries bioactive compound databases for target binding, mechanism of action, and existing clinical annotations for candidate drugs.

Pathway

Dr. Nova

OpenTargets + ClinicalTrials.gov

Maps disease-associated targets, aggregates pathway overlap, and adds active trial context to anchor the report in disease biology.

Repurposing

Dr. Spark

Cross-indication Synthesis

Synthesizes literature, compound, and disease-biology signals into cross-indication hypotheses while separating likely repurposing leads from disease-native assets.

Evidence Scorer

Dr. Vera

Structured Scoring

Applies the fixed 0–100 scoring rubric across literature support, mechanism overlap, clinical evidence, and safety profile, then explains why each candidate ranked where it did.

Red Team

Dr. Vale

Critical Review

Challenges reportable candidates with independent counter-arguments when a scored shortlist emerges, focusing on confounders, translational risk, and reasons a lead may not hold up.

Report

Dr. Aria

Final Research Brief

Generates the structured research brief with reportable candidates, early-stage hypotheses, or pipeline-reviewed signals, plus scoring context, provenance, and the required research disclaimer.

Independent Peer Review Panel

Reviewer I

Dr. Leo

Methodology Review

Verifies methodological integrity, provenance coverage, required citations, and overall report completeness before a brief can pass review.

Reviewer II

Dr. Zara

Consistency Review

Audits score consistency, candidate-to-evidence alignment, and cross-field contradictions across the final brief.

Tiebreaker

Dr. Swift

Arbiter

Invoked only on a split decision. Reviews both reviewer rationales and issues the final ruling under a rejection-first standard.

Start Here

Create a request and fund the workflow in USDC

Create Research Task
Research Disclaimer: This platform generates AI-assisted research outputs for informational purposes only. Outputs do not constitute medical advice, diagnosis, or treatment recommendation. All findings must be validated by qualified researchers before any use.