The agentic AI platform for healthcare
Not just another local AI app. A secure, autonomous agent designed for assistant professors, medical researchers, and academicians. Analyze literature, manage patient records for case studies, and generate reports — all powered by a local multimodal agentic LLM or your preferred open-source medical model without triggering IRB or HIPAA violations.
100%
Private — data never leaves your PC
100%
Local multimodal agentic LLM on your PC
0
Patient records sent to cloud
The secure alternative to OpenClaw
Generic open-source agents like OpenClaw require complex configurations and demand risky system-level permissions that compromise HIPAA compliance. Convai Agent OS is engineered specifically for healthcare workflows.
- Custom Operating SystemRuns entirely in a tightly sandboxed QEMU virtual machine, ensuring zero system-level intrusion onto your host PC.
- Powered by a Local Multimodal Agentic LLMComes pre-configured with a highly capable local multimodal agentic LLM to drive intelligent, context-aware autonomous actions.
- Bring Your Own Model (BYOM)Doctors have full autonomy. Easily select and hot-swap open-source medical models like Meditron or ClinicalCamel directly from the UI.
Built for doctors, powered by AI
Not another cloud chatbot. Convai Agent OS is a full operating system with a private LLM that runs as the core process. Your data stays on your machine — always.
Local Patient Vault
Store lab reports, prescriptions, and clinical notes directly on your offline desktop folder bridge. 100% HIPAA compliant data parsing.
Messaging Apps (Research)
Connect Telegram or WhatsApp strictly for generic literature queries, drug interactions, and synthesizing public protocol methodologies.
Offline PDF Generation
Securely generate patient discharge summaries, referral letters, and prescriptions directly into your local offline filesystem.
Semantic Patient Memory
The AI locally indexes your local vault. Ask the Desktop App "What was Patient X's last HbA1c?" and get instantaneous offline recall.
Offline Image to PDF
Automatically scan physical prescriptions or diagnostic forms into the secure desktop watch folder and get them processed into clean PDFs.
Automated Academic Digests
Use email to forward academic journal PDFs to the AI and receive structured summaries in your inbox.
See it in action
Drop a patient report into your local sync folder. Watch the AI extract findings, create patient folders, and explicitly generate discrete offline summaries — all running privately on your PC.
Folder Sync Trigger
Securely drop lab reports or prescriptions into your local app. The isolated local VM extracts and summarizes key findings instantly.
Organize by patient
Create offline patient folders, securely store reports, and save clinical notes natively without internet loops.
Ask clinical questions
Query patient history securely within the Desktop App — "What was Rajesh's last creatinine?" — with local semantic search across local records.
Native offline documents
Securely create discharge summaries, referral letters, and reports as robust PDF documents directly onto your desktop.
Zero patient data in the cloud
Unlike ChatGPT or cloud AI services, every byte of data stays on your PC inside a sandboxed virtual machine. No API calls, no data processing agreements, no breach risk.
AES-256 Encryption
100% Local Processing
VM Sandboxed
HIPAA Architecture
Everything a doctor needs, in one app
From patient documentation to clinical research — securely isolate your PHI locally while harnessing cloud messaging safely for academic research.
Patient Document Management
Securely sync patient reports via the local Desktop App folder. Create folders per patient, store lab results, prescriptions, and clinical notes completely offline.
Local AI Report Summaries
Drop lab reports or discharge papers into your local folder — the AI extracts key data points and organizes them without sending a single byte to the cloud.
Offline PDF Generation
Generate HIPAA-compliant discharge summaries, referral letters, and custom reports natively as professional PDF documents on your desktop.
Patient History Recall
Ask the Desktop App about any stored patient — previous diagnoses, medication history, lab values — using strictly local semantic search.
Messaging for General Research
Use Telegram and WhatsApp strictly for non-PHI internet queries: deep literature searches, academic protocol lookups, and general medical questions.
Clinical Literature Synthesis
Query the AI via chat to run deep multi-round web research on drug interactions and synthesize academic papers into comprehensive reports.
Handwritten Notes to PDF
Scan your handwritten consultation notes directly into the Local App. The AI securely converts them into organized, searchable PDF documents offline.
Spreadsheet Reports
Create offline XLSX spreadsheets tracking unit vitals, aggregated lab trends, bed occupancy, and monthly OPD statistics directly on your desktop.
Two-Tiered Compliance Model
Local Desktop Sync (PHI)
Interact with the local folder bridge to safely process patient data without cloud exposure.
Telegram (Research)
Send prompts to query medical literature, synthesize diagnostics, and retrieve internet answers.
Email Summaries
Forward academic journals via email to the AI gateway, receiving structured abstracts in your inbox.
Built with care
Every license includes personal onboarding support — setup guidance, integration help, and direct access to the developer.
Nandakishor M
Founder & CEO
- •AI/ML Researcher with healthcare applications focus
- •Former Principal Investigator, IIT Palakkad Technology iHub Foundation
Dr. Anjali M, MBBS, MD
Co-Founder & Chief Research Officer
- •MD in Community and Family Medicine from AIIMS Rishikesh
- •Medical logic design & clinical validation of Ai4Cardio multimodal AI
Research-backed medical AI
We aren't just building apps. We are actively researching and publishing in the field of trustworthy medical AI, with a focus on Hallucination Detection and Cardiology.
Our Researches & Publications
Our core project Ai4Cardio focuses on multimodal generative AI for automated ECG interpretation and treatment planning. We collaborate closely with medical institutions to ensure clinical reliability. Our findings are published in top-tier medical and technical journals, including BMJ.
- ✓World's first projection-based hallucination detection model (HalluNox)
- ✓74% detection rate for pre-generation hallucinations
- ✓Clinically validated AI models translated to actionable medical logic
Open Source Medical Models
We believe in open science. We regularly publish our fine-tuned medical reasoning and vision models freely to the AI community on HuggingFace.
ECG-Instruct-Llama-3.2-11B-Vision
Vision-LanguageFine-tuned Llama 3.2 11B multimodal model specialized for detailed ECG interpretation and clinical reasoning.
medgemma-4b-ecginstruct
LanguageCompact, highly efficient Gemma-based text model optimized for structured cardiovascular diagnostic outputs.
Simple pricing
One plan. Everything included. No per-query charges, no cloud fees.
Doctor's License
...
per year, per machine
or $100 USD/year
Hardware-encrypted license. Works offline after activation.