01 // the challenge

Cardiovascular claims require rigorous validation. Not optimism.

GLP-1/SGLT2 literature explosion

Cardiovascular benefit claims proliferating faster than review capacity. Which findings replicate? Which are overfitted to specific populations?

Endpoint complexity

MACE, heart failure hospitalization, renal outcomes โ€” composite endpoints need verified support across trials, not cherry-picked results.

Regulatory pressure

Cardiovascular outcome trials are expensive. Evidence synthesis before Phase 3 commitment saves millions in failed development.

02 // the axion approach

Adversarial review before publication or trial commitment.

2+ model architectures

Multi-model adversarial review

Claude and Gemini attack your claims from different architectural perspectives, producing a claim-support audit and independent contradiction memo. No single model's blind spots.

57% rejection rate

57% rejection rate

Claims that survive multi-model adversarial attack are stronger submissions. Claims that don't survive save you a rejection cycle.

53% fabrications caught

Citation verification

Every DOI checked against live databases. 53% of AI-generated citations contain errors.

03 // results

What the pipeline produces.

57% hypothesis rejection
53% citation errors caught
2+ model architectures
24-48h review turnaround
the value

Pre-publication adversarial review: Peer reviewers at top cardiology journals scrutinize methodology and evidence quality. The question is whether you see the weaknesses first. Multi-model attack surfaces what a single reviewer might miss.

04 // start

Research audit for cardiovascular work.

Send one hypothesis, evidence synthesis question, or draft section. We run it through cross-architecture adversarial review.

One hypothesis or evidence question. We confirm review scope before work starts.

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