At Clinovate, your health and safety are our top priority. That’s why we’ve built our AI tools to be not just powerful, but also safe, accurate, and trustworthy. Every answer goes through several layers of checks to make sure it’s reliable for both patients and doctors.

Our AI doesn’t work like a mystery box. It’s clear, easy to review, and always improving. We work closely with top medical experts who help us test, review, and improve the system.

AI can do a lot of good in healthcare. It helps patients understand their health, saves doctors' time, supports clinical decisions, and makes healthcare more efficient.

Even with all its advantages, AI isn’t meant to replace a real doctor. Patients should consult a licensed professional before making any decisions, and doctors should always be responsible for the results.

We’ve designed our AI to think and work like a medical team—carefully, step by step. First, it looks at what the user sends, whether it’s a message or a medical file. Then it pulls in helpful context, checks trusted medical knowledge, and uses smart reasoning to create a clear, useful answer. Let’s take a closer look at each step in the process.

1. User Input Processing
Everything starts with what you share. You can either:

Type a message describing your symptoms, health history, or concerns.

Upload a file, like a lab report, scanned prescription, or other medical document.

No matter which format you choose, we keep your data secure and completely confidential.

2. AI Text Recognition via Pretrained OCR Models
If you upload a file, our AI uses Optical Character Recognition (OCR) to read and understand the text. Our OCR is trained specifically to work with medical documents. It can:

Accurately read and extract key medical details, even from scanned or handwritten files.

Convert this data into a machine-readable format, so the AI can understand and use it effectively.

We continuously improve our OCR models based on expert feedback and the quality of the data we receive.

3. AI Agents for Data Understanding
Once your input is received, our system activates specialized AI agents.

Extract & Store Key Info agent: Identifies essential data from the input (e.g., symptoms, lab values) and stores it in your personal AI memory.

Retrieve Memory agent (using RAG: Retrieval-Augmented Generation): pulls relevant information from previously stored memory to give accurate and context-aware answers.

These agents allow the AI to personalize your experience while keeping only the most relevant information in memory.

4. AI Memory & Context Awareness
Understanding your health isn’t just about one message or test; it’s about the whole picture. That’s why our AI uses a specialized memory with a complex structure to remember key information you’ve shared across conversations or uploads.

When needed, the system retrieves relevant details from your personal memory, like past symptoms, lab results, or important health notes. With this context, the AI can give you answers that are more accurate, complete, and personal.

Our memory is designed to be selective and secure. It only stores essential medical insights, never full documents or unrelated data. And you stay in control: your memory can be updated or removed at any time.

5. Trusted Knowledge Integration
In addition to personal memory, our AI also relies on trusted medical sources to make sure its answers are up-to-date and reliable.

NIH (National Institutes of Health)
FDA (U.S. Food and Drug Administration)
PubMed
WHO (World Health Organization)
ClinicalTrials.gov
... other expert-approved medical databases

6. Reasoning via AI Agent Graph
Once the input and context are understood, the AI Agent Graph processes all available information to:

Integrate user input, personal memory, and trusted medical knowledge

Generate an initial answer using advanced reasoning algorithms

Structure the response in a way that is clear, relevant, and clinically meaningful

This is the “thinking” phase of our system, designed to mimic how a real medical team analyzes data to form a response.

7. Quality Assurance by AI Agents
Before an answer is delivered, it goes through a quality check by a dedicated AI Agent:

Each response is scored for clarity, medical accuracy, and consistency

If the score is too low, the system will review or regenerate the answer before it’s shown

Only responses that meet our high internal standards move forward to the user

This final step ensures that the output is safe, helpful, and medically sound.

8. Output: Final Answer to the User
Once an answer passes all internal quality checks, it is delivered to the user.

If the user is a licensed medical professional, the response may include:

Diagnostic suggestions

Possible treatment options

Interpretations of lab results

Links to trusted resources or clinical guidelines

Other medically relevant insights to support decision-making

For patients, the answer is provided in safe, clear, and easy-to-understand language, without complex medical jargon. This way, they can better understand their health and make informed decisions.

And the best part is that all of these complex steps, from input analysis to expert-level reasoning, happen in just a few seconds. This means users get helpful insights almost instantly.

Continuous Testing and Expert Validation
To ensure the highest level of accuracy and safety, our AI tools are continuously tested, reviewed, and improved by top medical experts from various specialties.

These experts help validate the system’s answers, spot unusual cases, and guide its continuous improvement. Their real-world experience helps us keep the AI clinically relevant, reliable, and aligned with medical best practices.