ColdTrust
AttackLogs
AI Brain
OLX India CLI
ForensicToolW3
Love LaceEvidence-grounded by default
Answers cite the record they came from. When the chart does not support a claim, axiom refuses instead of guessing.
axiom
Evidence-grounded clinical intelligence layer for EMRs. Calibrated refusal when the record does not support the claim.
The problem
Clinical AI that answers confidently when the chart does not support it is worse than no tool at all — a nurse trusts it and moves on.
The approach
Every answer has to carry the evidence it came from, and a claim the record does not cover has to be refused rather than hedged.
What is there
A calibrated evidence layer: claims cite the record, and confidence is scored against what the record actually shows.
Stack
5
- AI
- clinical
- Python
- LLM
- evidence
Capabilities
2
Calibrated, not confident
Confidence is scored against what the record actually shows, so a hedged answer and a certain one look different.
