AI-Powered Insight
Build your own clinical knowledge base. Ask questions and get AI answers grounded in your trusted sources, with citations.
Stop Googling. Start Knowing.
Doctors constantly need to look up clinical information: drug interactions, guidelines, treatment protocols, research findings. Current tools fall short.
Google gives generic results, not clinical-grade answers
General AI assistants may hallucinate with no source verification
Physical resources are slow and not searchable
None of these know YOUR specific clinical context or guidelines
How It Works
From raw documents to cited clinical answers in four steps.
- 01
Create Collections
Organise your knowledge into named collections. Personal collections are private; Team collections are shared with your practice.
- 02
Add Sources
Upload PDFs, paste URLs, add text files or markdown documents. The system processes and indexes each source for intelligent retrieval.
- 03
Ask Questions
Use the AI chat interface to ask clinical questions. The AI retrieves the most relevant information from your collections before answering.
- 04
Get Cited Answers
Every response includes inline citations referencing your specific sources. Click a citation to see the exact source text. No hallucination. Every claim is traceable.
Your Library. Your Way.
Organise collections by specialty, condition, or any structure that works for you. Keep them private or share with your practice.
Personal Collections
Only you can see them. Your own research library.
Team Collections
Shared with your practice. Everyone benefits.
Supported Sources
A Research Assistant That Knows Your Sources
More than a chatbot. Insight retrieves relevant passages from your collections, synthesises an answer, and cites every claim back to the source.
- Multi-turn conversations with full context memory
- Select which collections to draw from per conversation
- Attach additional files directly to a message for ad-hoc analysis
- Link patient or consultation context for clinical-specific queries
- Stream responses in real-time
- Save and bookmark important conversations
- Source citations with excerpts. Click to see the exact reference
Insight Chat
RACGP GuidelinesWhat are the first-line treatments for Type 2 diabetes in overweight patients?
According to the RACGP guidelines, first-line pharmacological treatment is metformin, combined with lifestyle intervention. For patients with BMI ≥ 30, consider GLP-1 receptor agonists as adjunct therapy.
Link Your Patients. Get Specific Answers.
Pin a patient's form submission or a consultation record to your chat. The AI combines your knowledge base with the patient's clinical details to give contextually relevant answers.
Example Response
“Based on the RACGP guidelines in your collection and this patient's BMI of 34 and Type 2 diabetes history, the recommended first-line treatment is metformin 500mg twice daily with titration, combined with a structured weight management program referencing the NHMRC obesity management pathway.”
Built for Real Clinical Workflows
Upload your sources. Ask your questions. Get answers you can trust.
Research
“What do the latest NHMRC guidelines say about GLP-1 receptor agonists for weight management?”
Drug Interactions
“Does metformin interact with the patient’s current medications?”
Treatment Protocols
“What’s our protocol for managing diabetic foot ulcers?”
Training
“How does our practice handle after-hours referrals?”
CPD
“Summarise the key findings from the latest cardiovascular risk study”
Your knowledge. AI-powered. Fully cited.
The only AI Copilot that answers from your own trusted sources, and proves it.