Clinical-Grade AI · Citation-Verified

The Living
Memory Layer
for Medicine.

AskStein is a purpose-built scientific AI for clinical and research teams. Every answer is grounded in verified PubMed literature — no hallucinations, no guesswork, full audit trails.

Request Early Access See how it works →
AskStein — Orthopedic Biomechanics
Query
"How do axial and bending rigidities differ in predicting bone failure?"
Response
CT-based axial stiffness (EA) shows strong correlation with experimentally measured values. CT-derivative bending stiffness (CTEI) demonstrates lower coefficient of determination (R²=58%). CT-AEA is the most reliable metric for predictive purposes in normal bone; caution is advised for metabolic bone disease applications.
Verified Citations
PMID: 29847823 PMID: 31204751 PMID: 27684590
Claim-verified · Zero hallucination
36M+
PubMed papers indexed
100%
Routing & retrieval success
97%
Evidence completeness (≥2 PMIDs)
0.5%
Hallucination rate (strict mode)
Trusted by
H
HMS Laboratories
B
BU Biomechanics
O
Ortho Residency Programs
C
Clinical Research Labs
B
Biomedical Institutions
Architecture

Built for trust,
not just answers.

Every response flows through a four-stage trust architecture designed to eliminate hallucination at the source — not patch it with prompts.

01 —
🔍
Retrieve
Continuous ingestion of 3–5K new PubMed papers daily. Section-aware parsing extracts methods, results, and discussion separately.
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02 —
🧠
Reason
Domain-tuned Mistral-7B with LoRA adapters generates citation-grounded responses. A living knowledge graph tracks evidence confidence over time.
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03 —
🔒
Verify
Semantic alignment checks every output against source text. Unsupported claims are rejected before they reach you — not flagged after.
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04 —
📎
Cite
Every answer includes PMID-linked references with line-level provenance. Full audit trails for clinical compliance and institutional accountability.
"In medicine, a wrong answer is worse than no answer. AskStein was built around this constraint — not as an afterthought."
The Problem

General AI was not
built for scientific truth.

  • Optimizes for fluency, not factual correctness
  • Fabricates citations that appear real
  • Cannot distinguish methods from conclusions
  • Cannot be audited or traced
The AskStein Difference
  • Citation-locked responses — PMID-verified, always
  • Architectural hallucination prevention, not prompt tricks
  • Evidence weighting — consensus vs. conflict detection
  • Specialty-aware intelligence that evolves daily
Data Moat
Proprietary Knowledge Graph
Section-aware parsing, ontology normalization, and contradiction resolution built on curated biomedical corpora — not generic web data.
Workflow Moat
Embedded Into Clinical Workflows
Audit trails, evidence dossiers, and claim-level provenance that meet institutional compliance standards. Built for where decisions matter.
Architecture Moat
System Constraints, Not Prompts
Verification gating, early rejection, and semantic alignment are hardcoded into the pipeline. Impossible to retrofit into general-purpose models.
Capability
✦ AskStein
General AI
PMID-verified citations
✓ Always
✗ Never
Hallucination rate
✓ 0.5%
✗ 60–80%
Daily literature updates
✓ 3–5K papers/day
✗ Static cutoff
Clinical audit trail
✓ Full provenance
✗ None
Evidence conflict detection
✓ Built-in
✗ Not possible
Performance

Numbers that
matter in medicine.

Benchmarked against OpenAI, Claude, Perplexity, and Gemini on orthopedic biomechanics queries. AskStein operates in a different epistemic tier.

Orthopaedics ✓
Oncology
Cardiology
Neurology
Genomics
Rheumatology
+ more
0.5%
Hallucination rate in Strict Mode — vs. 60–80% for general AI
100%
Routing stability and retrieval success across all queries
97%
Evidence completeness — ≥2 verified PMIDs per response
84–100%
Evidence support rate — every claim is justified
Early Access — Limited Spots

Medicine needs a
knowledge engine,
not another chatbot.

Request Early Access → Contact the team