Every recommendation traced to real evidence
AI-powered clinical decision support that grounds every peptide therapy recommendation in scored, verifiable clinical claims. Built for physicians who demand rigor.
- Top-3 Diagnostic Accuracy
- 91.7%
- Hammoud et al. 400-vignette benchmark
- Top-1 Accuracy
- 78.6%
- Correct diagnosis as #1 pick
- Across All Metrics
- #1
- Outperforms Avey, Ada, physicians
- Sources Per Case
- 47+
- PubMed, trials, clinical reviews
Built for clinical rigor
Not another chatbot. A structured clinical reasoning pipeline with full auditability.
Claim Knowledge Objects
Clinical literature is decomposed into scored, policy-tagged claims — not raw text chunks. Every claim has an evidence tier and quality score.
Diagnostic Reasoning
Multi-hypothesis differential diagnosis with ICD-10 specificity. 4–6 ranked hypotheses per case, each with supporting evidence chains.
Peptide Recommendations
Therapy suggestions grounded in your curated knowledge base. BPC-157, TB4, Selank — with dosing context, contraindications, and regulatory status.
Safety Validation
Every recommendation passes clinical safety checks: drug interactions, allergies, contraindications, and regulatory flags before reaching you.
Knowledge Graph
Entities and relationships extracted across your entire document corpus. Visually explore how clinical concepts connect across studies.
Literature Search
Hybrid retrieval: vector search over curated CKOs, supplemented with real-time PubMed and clinical trial literature when configured.
See the reasoning. Trust the result.
Every analysis shows its work. Here's what a typical evidence chain looks like.
From patient documents to clinical narrative
A structured pipeline, not a black box.
Upload Patient Documents
Upload lab results, intake forms, and clinical notes. The system extracts and populates the patient file automatically — no manual data entry.
Patient File Auto-Populated
Demographics, symptoms, labs, medications, and allergies structured automatically from uploaded documents. Review and refine as needed.
Ask a Clinical Question
Pose a question about the patient. The AI analyzes their data, retrieves evidence, reasons through differentials, and validates safety.
Review & Act
Receive a physician-to-physician narrative with the full evidence trail. Every claim traceable. You make the final call.
Measured against the standard
400 peer-reviewed clinical vignettes. Same dataset. Direct comparison.
Top-1 Accuracy— Correct diagnosis as the #1 pick
Top-3 Accuracy— Correct diagnosis within the first 3 picks
Top-5 Accuracy— Correct diagnosis within the first 5 picks
Source: Hammoud et al. 2024 (JMIR AI), SymptomCheck Bench 2024. All systems evaluated on the identical 400 peer-reviewed clinical vignettes. See full methodology →
See it in action
Schedule a 30-minute demo and walk through a real clinical case with our team. No commitment, no sales pressure.