Introduction to EnorAI
EnorAI is an API middleware that provides deterministic safety guardrails for healthcare AI applications. It solves the compliance and liability challenges that every health-tech team faces when integrating large language models.
The liability problem
The integration of LLMs in clinical settings has introduced significant liability risks:
- ! 51% of triage cases — ChatGPT recommended "wait and see" for conditions requiring immediate clinical intervention.
- ! 71% of healthcare workers admitted to inputting patient data into commercial LLMs, creating HIPAA violations.
Why this matters
Without deterministic safety rails, every LLM response in a clinical context is a potential liability event.
Architecture
EnorAI sits between your application and any cloud LLM provider:
Request / Response Flow
User Input
Inbound API (Scrub)
Cloud LLM
Outbound API (Validate)
User Output
Two engines, one API
The Inbound Engine handles PHI scrubbing (<10ms). The Outbound Engine handles hallucination detection (<50ms).
Next steps
Installation
# Install the EnorAI SDK
pip install enorai-sdkQuick start
import os
from enorai import EnorAI
client = EnorAI(
api_key=os.environ["ENORAI_API_KEY"],
region="af-south-1"
)
status = client.health_check()
print(status)