Credit Decisioning & Underwriting
I

Ignosis

Ignosis turns consented bank, GST and tax data into lending, collections and customer insight for Indian financial institutions. Banks, digital lenders, insurers and wealth managers use it to verify income, underwrite consumers and small businesses, and target collections.

It fetches data in real time across several account aggregators under India's consent framework, then produces bank statement analytics, small business underwriting signals, spend analysis and collection priorities, with voice AI agents for customer calls. It also connects lenders to the ONDC and OCEN credit networks.

Ignosis states more than 150 clients and names results such as a 15 percent reduction in bad loans at L&T Finance and 25 percent larger loans at KISSHT. It displays ISO 27001 and SOC 2 and keeps all data in India. Ignosi Systems Private Limited is based in Ahmedabad.

Last VerifiedOctober 3, 2026
Compare Ignosis with other vendors
Founded
2022
Headquarters
Ahmedabad, India
Website
ignosis.ai
Categories
credit-decisioning, lending-and-banking-operations, wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 12 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Income detection without formal proof, repayment scoring from bank and tax records and collections prioritization are all model work, and voice agents handle calls on top.

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

Lenders keep the credit decision, using the signals inside their own models. The voice agents are different: they talk to borrowers directly, and when a call escalates to staff isn't described.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Transaction detection is put at more than 98 percent accurate and income identification at 15 to 20 percent better, with insights called explainable. The test method and error rates behind those figures aren't published.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

L&T Finance cut NPAs by more than 15 percent and approves loans in under ten minutes, and KISSHT reports loan amounts 25 percent larger. Slice reports collections efficiency more than 15 percent better.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Consent under the account aggregator framework ties data to a stated purpose, which limits reuse, but whether one lender's borrower outcomes train scoring for another client isn't addressed.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The April 1, 2026 privacy policy covers the platform, deletes data within 90 days of a request and names a grievance officer, while subprocessors appear by category only.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

ISO 27001 and SOC 2 badges appear on the site, but the SOC 2 type isn't stated and no report is offered.

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.
Vendor Published

A technology service provider role inside the Reserve Bank of India's account aggregator framework puts Ignosis under consent and purpose limitation rules a buyer can check, and it also connects lenders to the ONDC and OCEN credit networks.

AI Governance and Bias Disclosure
DD on AI Governance and Bias DisclosureNothing published on a product where the bias risk is concrete, such as credit decisioning or underwriting with no fair lending, disparate impact or adverse action disclosure.
Vendor Published

Approval rates rise more than 20 percent for lenders using these signals, which makes fair lending exposure concrete, yet Ignosis publishes nothing on outcomes across borrower groups or on how declined applicants learn why. Reaching borrowers without payslips is a real inclusion story, but it isn't a fairness disclosure.

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

A borrower whose income is understated has no described way to contest the estimate behind a decline, and Ignosis publishes no guarantee or correction process.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Public rails with published rules carry the data chain, but no individual aggregator, cloud provider or model provider is named.

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

Several account aggregators feed the orchestration rather than one, but no core banking, loan origination or bureau integration is named and there's no developer documentation.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Vendor Published

Every piece of information is stored and processed only within India, though the cloud provider and region go unnamed.

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

Data orchestration, analytics and collections are sold without a published price, and whether charges fall per data fetch or per decision isn't said.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Indian banks, digital lenders and insurers are served across lending, collections and distribution, with a page for each function, and the reliance on India's account aggregator rails keeps it to that market.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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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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