Credit Decisioning & Underwriting
C

CareEdge Analytics

CareEdge Analytics is the banking software and analytics arm of CareEdge Group, the Indian financial analytics group formerly known as CARE Ratings. The software business was established in 2006 as Kalypto Risk Technologies, became a wholly owned subsidiary of CARE Ratings in 2011 as CARE Risk Solutions, and now operates as CARE Analytics and Advisory Private Limited.

Its product line is the Kalypto suite, built for banks, financial institutions and insurers: Kalypto Credit Risk Assessment for financial spreading and risk grading, Kalypto Expected Credit Loss for impairment analysis and provisioning under IFRS 9, the Kalypto Loan Origination System with omnichannel data capture and straight through processing, plus enterprise risk management, asset liability management, fund transfer pricing, market and operational risk, early warning systems, collections and recovery, and regulatory reporting under Basel II and III.

A generative artificial intelligence platform branded EdgeAvira.ai was launched to deliver risk intelligence to banks and financial institutions, and the group has signed a memorandum of understanding with the analytics firm Tresata to bring predictive intelligence products to the Indian market. The parent group occupies an unusual regulatory position for a software supplier. CareEdge Ratings is India's second largest credit rating agency, recognized by the Securities and Exchange Board of India and the Reserve Bank of India, with more than ninety one thousand rating assignments completed.

Its international arms include CARE Ratings Africa, licensed by the Financial Services Commission of Mauritius and recognized as an External Credit Assessment Institution by the Bank of Mauritius, alongside rating entities in Nepal and South Africa and a global services company in the GIFT City international financial services center. Named bank users of the Kalypto products include Mashreq Bank in the United Arab Emirates and Union Bank of Colombo in Sri Lanka.

Last VerifiedAugust 20, 2026
Compare CareEdge Analytics with other vendors
Founded
2006
Headquarters
Mumbai, India
Categories
credit-decisioning, lending-and-banking-operations, compliance-and-surveillance
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

Basel compliance, asset liability management and impairment provisioning form a regulatory calculation suite banks have run since 2006, complete without any learned component. Lenders may choose their own models over the vendor's scoring, which makes the model optional rather than the product.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Credit assessment blends objective and subjective methods, putting an officer's judgment beside the model, and the impairment workflow is described as repeatable and auditable. No confidence threshold, escalation route or treatment of an automated decline in origination appears.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

Expected credit loss material describes macroeconomic scenario generation for IFRS 9, which restates the accounting standard rather than evidencing model quality. Backtesting, calibration and independent validation are missing, as is any accuracy figure for the generative platform.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

Mashreq Bank and Union Bank of Colombo give testimonials naming the specific modules deployed, but neither attaches a figure. The one story with operational detail, transfer pricing in production at a large public sector bank, comes from a database vendor and does not name the bank.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

One group runs a credit rating agency, a business analytics arm and this bank software arm, so a bank has a direct interest in whether its borrower and portfolio data can reach the ratings side. No separation commitment, training exclusion or control over the generative platform is stated.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

Spreading and transfer pricing applications ingest borrower financial statements and transaction records, yet no retention period, termination purge or privacy posture is published. Data subject rights under India's Digital Personal Data Protection Act are not addressed.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

Material reviewed carries no certification, attestation report or security page of any kind. For a supplier holding loan and transaction level data for banks in several jurisdictions, that absence is a disclosure choice.

Regulatory Status and Licensure
AA on Regulatory Status and LicensureThe regulatory position is stated and a formal admission process stands behind it: a register entry, an eCBSV enrollment, a payment network partner admission, or presence inside SAR or CTR filing paths.
Third Party Estimated

The parent is a credit rating agency registered with the Securities and Exchange Board of India and recognized by the Reserve Bank of India, and its Mauritius subsidiary is an External Credit Assessment Institution whose ratings banks can use for capital. That standing attaches to the ratings entities, not the software company selling the Kalypto products.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Scores and risk grades from these products drive lending to retail and small business borrowers across South Asia. A vendor scoring model applied across many lenders concentrates any systematic bias it carries, and no disparate impact testing or governance framework is published.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

When a risk grade, impairment figure or origination decision is wrong, nothing says whether lender or vendor bears it or whether a borrower learns a model contributed. The bank answers to its supervisor while the scoring supplier sits outside the conduct perimeter, even though its parent is supervised for ratings.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Third Party Estimated

A graph database provider and a database platform vendor each disclosed their role in their own announcements, while the vendor's product material names neither. The generative risk intelligence platform, EdgeAvira.ai, names no model, family or provider, the one product where that dependency matters.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

The footprint runs from enterprise risk and transfer pricing to origination, early warning and collections, and the origination system handles online, mobile and branch channels with straight through processing. No core banking platform is named as a certified integration and no connector catalog is published, so depth must be inferred from breadth.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Whether the products run on premises, in managed cloud or as a service is unstated, as are regions and processing location. For Indian bank buyers facing Reserve Bank of India localization rules, that is a live procurement question left open.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Licensed software and the advisory services sold beside it carry no published price, unit or implementation estimate. The only entry point is a contact form.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Third Party Estimated

A technology partner credits the software arm with four thousand customers worldwide across banking, financial services and insurance, a figure that originates outside the vendor. Named bank users span India, the United Arab Emirates and Sri Lanka.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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