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

# Install the EnorAI SDK
pip install enorai-sdk
# Install the EnorAI SDK
npm install enorai-sdk
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)
import EnorAI from 'enorai-sdk';
 
const client = new EnorAI({
  apiKey: process.env.ENORAI_API_KEY,
  region: 'af-south-1'
});
 
const status = await client.healthCheck();
console.log(status);