AstraneoTechDiagnopedia: an AI medical chatbot that informs without diagnosing, by design.
Diagnopedia is a curated e-library of medical research and clinical insight. AstraneoTech designed and built its AI-powered medical chatbot, which provides distinct experiences for patients, physicians, and medical students. The system is a retrieval-augmented (RAG) architecture on the OpenAI API using ada-002 embeddings, containerized with Docker, and deployed on infrastructure fully owned by the client. Responsible guardrails are built into the design: the chatbot delivers helpful information but does not attempt diagnosis. The product is live, was delivered on time, and is supported on an ongoing basis.
What was the problem?
Make medical knowledge accessible, safely, to three very different audiences.
Diagnopedia holds a curated library of medical research and clinical content. The goal was to make that knowledge accessible through a conversational AI interface, serving three audiences with different needs: patients looking for plain-language health information, physicians wanting clinical detail, and medical students studying. Each group needed a different level of response. And all three needed safety: an AI that could accidentally play doctor would be far more harmful than helpful.
What did AstraneoTech build?
A RAG chatbot, three personas, deployed on client-owned infrastructure.
AstraneoTech built the AI chatbot end to end. The system uses retrieval-augmented generation (RAG) on the OpenAI API with ada-002 embeddings, so answers are grounded in Diagnopedia's approved medical content, not generated from the model's general knowledge. Docker containerization keeps the deployment clean and portable. The whole system runs on infrastructure owned entirely by Diagnopedia, the client controls the data, the model configuration, and the hosting.
How is it kept safe?
Guardrails first: information, never diagnosis.
The safety constraints are written into the specification, not added at the end. The chatbot is designed to provide helpful information from approved medical content while refusing to suggest what a specific person's symptoms mean or what they should do medically. It informs; it does not diagnose. This boundary is enforced at the prompt and system level, not left to the model's judgment.
What's the status?
Live, delivered on time, supported.
The chatbot is live and serving Diagnopedia's users. It was delivered on schedule and AstraneoTech provides ongoing support. The client owns the entire system: the code, the configuration, and the infrastructure. No vendor lock-in.
In the client's words
What Dr. Dipak Ladda said.
Prasad and team of AstraNeo Tech Solutions on building an AI-powered medical chatbot for Diagnopedia.
They demonstrated strong technical expertise along with a clear understanding of medical safety, data privacy. The team delivered a secure, personalised, and scalable solution to build an intelligent AI chatbot on our website, all deployed on infrastructure fully owned by us.
What stood out was their ability to combine advanced AI with responsible guardrails, ensuring the system provides helpful information without attempting diagnosis.
Communication was smooth, delivery was on time, and ongoing support has been reliable. I highly recommend AstraNeo Tech Solutions for any organisation looking for practical and safe AI-driven solutions.
Dr. Dipak Ladda · MD Medicine & Founder, Diagnopedia