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Apollo Hospitals Prediabetes AI

Development and Validation of a Multivariable Prediction Model to determine the risk of Prediabetes

Category
AI Apps and Agents
Registry category
Operations & Productivity
Vendor
Apollo Hospitals Enterprise Ltd
Location
Chennai, Tamil Nadu 600006, India
Reviews
Not rated (0 reviews on the listing)
Listed on
Microsoft Marketplace
Pricing
1 plan listed
Overall Provenance
3.2/10Moderate
High 7–10Moderate 3–6.9Low 0–2.9

Each fact carries one Provenance score: the average of its Disclosure and Evidence scores, the same rule the page uses for the overall score. Click any score to see the math behind it.

Vendor Provenance

Who actually operates this agent.

7.3 / 10
Data element
Answer
Provenance
Source
Legal entity
Apollo Hospitals Enterprise Ltd
Per the official register
High
HQ address
Chennai, Tamil Nadu 600006, India
From outside company data
High
BigPicture company data for Apollo Hospitals Enterprise Limited (apollohospitals.com), fetched 2026-08-29
Ownership
Apollo Hospitals Enterprise Limited is a publicly traded company
From outside company data
High
BigPicture company data for Apollo Hospitals Enterprise Limited (apollohospitals.com), fetched 2026-08-29
Industry
Health Care Equipment & Services / Health Care Providers
Sector Health Care
High
BigPicture company data for Apollo Hospitals Enterprise Limited (apollohospitals.com), fetched 2026-08-29
Employee count
42,497 employees (10K+ range)
From outside company data
High
BigPicture company data for Apollo Hospitals Enterprise Limited (apollohospitals.com), fetched 2026-08-29
Founded
1983
From outside company data
High
BigPicture company data for Apollo Hospitals Enterprise Limited (apollohospitals.com), fetched 2026-08-29
Revenue
$10B+ estimated annual revenue
Estimate; not from filings
High
BigPicture company data for Apollo Hospitals Enterprise Limited (apollohospitals.com), fetched 2026-08-29
About
Development and Validation of a Multivariable Prediction Model to determine the risk of Prediabetes
Publisher description
High

Build Provenance

What the agent is built on.

2.8 / 10
Data element
Answer
Provenance
Source
Foundation model
Not disclosed on this listing
Low
No source on record
Training data (model)
Not disclosed on this listing
No source discloses model training data
Low
No source on record
Agent framework / tools
Not disclosed on this listing
Low
No source on record
Hosting model
SaaS, hosted by the vendor
From the listing
High
Version history
v1.0
Registry saw 4 distinct listing states across 11 captures
High

Reach Provenance

How the agent is distributed and adopted.

4.4 / 10
Data element
Answer
Provenance
Source
Distribution channel(s)
Microsoft Marketplace
Via SaaS
High
Review volume & rating
Not available
No ratings on the listing
Low
No source on record
Comments (pros)
Not available
No review text on record, so no pros could be drawn from user comments
—
No source on record
Comments (cons)
Not available
No review text on record, so no cons could be drawn from user comments
—
No source on record
Listing tenure
Not disclosed
No listed since date; last updated 2025-12-16
—
No source on record
Multi-channel presence
Single-channel
Listed on Microsoft Marketplace only in the registry
High
Public community signal
Not disclosed
No public GitHub, Discord or community metrics found
Low
No source on record
# installs
Not reported
Popularity index 0.10 on the marketplace; not an install count
—
No source on record
Listing type
Standard marketplace listing
From the listing
High

Data Provenance

What the vendor discloses about data handling.

1.4 / 10
Data element
Answer
Provenance
Source
Operational data sources
Not disclosed
Low
No source on record
Data residency
Not disclosed
Low
No source on record
Retention & deletion
Not disclosed
Low
No source on record
Published documentation
Legal links on the listing: Privacy Policy, License Terms
Links on the listing; documents not fetched by the registry
High
Privacy Policy (opens in a new tab)clinical-ai-apps.apollohospitals.com
License Terms (opens in a new tab)catalogartifact.azureedge.net
Data access requirements
Not explicitly disclosed
No OAuth scope or permission list found on the listing
Low
No source on record

Compliance Provenance

What standards the vendor meets, and who verified them.

0.0 / 10
Data element
Answer
Provenance
Source
Security
SOC 2
None on record
Low
No source on record
ISO/IEC 27001
None on record
Low
No source on record
ISO/IEC 27002
None on record
—
No source on record
ISO/IEC 27017
None on record
—
No source on record
SOC 3
None on record
—
No source on record
CSA STAR
None on record
—
No source on record
Privacy
GDPR
None on record
Low
No source on record
COPPA
None on record
—
No source on record
FERPA
None on record
—
No source on record
ISO/IEC 27018
None on record
—
No source on record
Health
HIPAA
None on record
Low
No source on record
HITRUST CSF
None on record
—
No source on record
Financial
SOC 1
None on record
—
No source on record
PCI DSS
None on record
—
No source on record
SOX
None on record
—
No source on record
Government
FedRAMP
Not found on the FedRAMP Marketplace
Checked by the vendor's web domain on 2026-08-27
Low
CMMC
None on record
Low
No source on record
NIST SP 800-171
None on record
—
No source on record
AI
NIST AI RMF
None on record
Low
No source on record
Platform
3rd party certification
None on record
Low
No source on record

What the publisher says

  • A

machine learning model developed using Indian data demonstrates higher accuracy

compared to conventional risk scores.

Show the rest of the publisher’s description (16 more lines)
  • Feedback Loop from the prospective use in patients
  • Comprehensive & Holistic Risk Assessment
  • Validated at different National Institutions
  • Integrated Clinical Decision Support Tool (What

Next to Do)

  • QMS: ISO 13485:2016 and MDSAP Certified

Interpretation & Adoption Message

  • AI Algorithm + Clinicians— This risk assessment

tool has been built as an adjunct tool for physicians to identify

global/holistic risks for patients developing Prediabetes.

  • Risk Identification and Prevention—This Risk

Assessment Tool stratifies the individuals based on the risk of developing prediabetes. It is not intended for the diagnosis of prediabetes or Diabetes mellitus. Its limitations include already-diagnosed Diabetic patients undergoing

treatment.

  • Where to use— This Risk Assessment tool has been

designed for use in Preventive Health Screening programs at Outpatient Clinics

and Health Check Clinics.

Preview

4 images

Plans and pricing

1 plan listed

Prediabetes AI Subscription Plan$31,390.00/month API Call Details/Unit Price: $3.65 per api call · Prediabetes AI Subscription Plan

Linked repositories

Unknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed.

Publisher resources

Sources

Reading the score

Disclosure · how many sources corroborate it

NoneNo source has it. Shown red, because Unknown means Unknown.
1 sourceA single place has it. A listing and its certification page and policy docs on one marketplace count as one source.
2+ contestedTwo or more sources cover it but they do not agree. The disagreement is shown, never dropped.
2+ agreeingTwo or more genuinely separate sources agree: another marketplace, or an outside record.
Steps below are possible but not automated yet, so today they sit open.
SettleTop confirmedSettleTop confirms it directly.

Evidence · what kind of evidence backs it

NoneNo source discloses it.
PublicPublicly available info, such as reviews, listing age, or vendor firmographics like legal entity and headquarters.
Vendor statedThe vendor's own claim on its marketplace listing, website, or policy documents.
Self-attestedThe vendor's self-attested certification or operator program, a marketplace program rather than an independent audit.
Steps below are possible but not automated yet, so today they sit open.
Vendor providedThe vendor hands SettleTop the underlying material, such as an SBOM or a data policy.
Vendor attestedThe vendor signs an attestation to SettleTop.
SettleTop verifiedSettleTop verifies it directly.

The SettleTop steps above are possible but not automated yet, so today they sit open and a perfect 10 is out of reach. Open information like firmographics and reach has fewer steps to climb, so it sits a little higher for the same visible evidence.

Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.

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