ArogyaSaathi AI App by Embee Software
Embee Software Pvt. Ltd. · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
ArogyaSaathi AI is a voice-based AI assistant designed to
make healthcare more accessible by enabling symptom diagnosis, doctor
Show the rest of the publisher’s description (58 more lines)
recommendations, and patient data retrieval—all in the patient's native
language. Powered by advanced AI models and multilingual support, it connects
patients to the right care faster and more efficiently.
Key Features
- Voice-Based
Interaction
Users can speak directly to the assistant, which transcribes inputs in
real time using Azure OpenAI’s gpt-4o model.
- Multilingual
Support
The assistant supports multiple Indian languages including Hindi, Bengali,
Marathi, Tamil, Kannada, Urdu, and English, making healthcare truly
inclusive.
- AI-Driven
Symptom Checker
A multi-agent system asks follow-up questions based on symptoms and uses
AI to suggest specialist doctors nearby.
- Smart
Doctor Recommendations
Integrated with real-time data sources to suggest relevant healthcare
professionals based on symptoms and location.
- Patient
History Integration
Retrieves past medical data using a secure database query through patient
ID, enabling contextual care and continuity.
- Summarized
Consultation History
Stores and summarizes user conversations which can be downloaded as PDFs
or cleared as needed.
- Interactive
Voice Output
Provides responses via speech using Azure AI Speech or OpenAI’s TTS model,
enhancing accessibility for all literacy levels.
Why Choose ArogyaSaathi AI?
- Enhanced
Patient Experience
Offers intuitive, voice-based, and multilingual interactions for all user
groups—including underserved rural populations.
- Accurate
Triage and Direction
AI-driven diagnosis improves referral accuracy and reduces unnecessary
visits.
- Time
and Resource Efficiency
Automates routine consultations, allowing medical staff to focus on
critical tasks.
- Data-Driven
Decisions
Uses medical history and AI inference to personalize suggestions and
improve care outcomes.
- Scalable
and Secure Architecture
Built using Django, Azure PostgreSQL, Langchain, and Langgraph for robust
performance and scalability.
Bring Intelligent Healthcare to Every Voice
Schedule a demo today to see how ArogyaSaathi AI can
elevate patient engagement and improve healthcare access with voice, AI, and
multilingual capabilities.
Preview
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

