Free score monitoring
Let users and operations teams check score health without turning the first step into a loan application.
Kashyka helps lenders, fintech teams, and product builders move from score visibility into credit analysis, offer matching, approval, disbursement, and API-led integration. The same mobile loans stack supports the Kashyka mobile loans app and can also plug into external apps and lending web platforms.
Explore Mobile Loans Flow

Let users and teams see healthier credit signals before the mobile loans decision starts.
Move cases from score review into offer, approval, and disbursement inside one product flow.
Keep credit signals, approval logic, and risk controls visible instead of hidden in manual review.
Integrate the scoring engine into mobile apps and lending web apps through a ready product layer.
Before a loan offer should appear, the product needs to explain the current score position, what that score means, and how it connects to the next mobile loan action.
Let users and operations teams check score health without turning the first step into a loan application.
Read repayment behavior, exposure, and score signals in one clearer summary before approval moves ahead.
Guide users toward stronger borrowing behavior with practical recommendations tied to their profile.
Keep personal data, decision logic, and mobile loan risk visibility protected inside one controlled stack.
Turn healthier score outcomes into more relevant loan options inside the Kashyka mobile loans app.
The score should help users and lenders understand how much confidence the next mobile loan step deserves. These bands make that decision path easier to read.
Represents weaker repayment discipline or thinner credit history.
Usually requires tighter limits, more documentation, or manual follow-up.
Shows improving payment behavior but still needs policy-led caution.
Can support smaller mobile loan offers with stronger monitoring and guardrails.
Reflects stronger repayment behavior and better credit reliability.
Helps lenders move into more confident approvals and better offer matching.
Signals very strong repayment discipline and lower approval friction.
Creates room for larger or faster offers inside the Kashyka mobile loans workflow.

It is a score band that helps represent a borrower's credit strength and repayment reliability.
It gives mobile loans teams a faster way to decide how much caution, pricing, or offer flexibility a case needs.
A stronger score usually improves the borrower's chances of receiving healthier mobile loan offers.
This simulator shows how Kashyka can read borrower inputs, assign a score, match a policy direction, and push the result toward the mobile loans app or an integrated product.
Adjust the borrower profile to see how score strength changes offer direction and approval confidence.
This output is where the score engine, mobile loans app, and developer option start sharing the same decision language.
Mobile loans app use: display the score, matched offer, and approval direction to the borrower inside one guided journey.
Developer use: push the same decision output into a mobile app or lending web app without rebuilding the policy logic.
Run the score check to simulate the mobile loans decision path.
The mobile loans journey should not stop at score display. Kashyka connects the score engine to the product layer that handles offers and to the developer layer that helps external teams plug the same logic into their own software.

Collects and interprets borrower signals, then returns a readable score outcome, policy direction, and score band context.
Turns score visibility into offers, underwriting steps, approvals, disbursement, and post-loan tracking inside one product.
Lets teams plug score checks, offer matching, and mobile loan decisions into their own mobile apps and lending web apps.
These answers keep the score and mobile loans journey understandable for both borrowers and teams integrating the Kashyka stack.
Kashyka Credit Score is the score layer that helps translate borrower behavior into a clearer mobile loan signal for users, risk teams, and product flows.
Stronger repayment consistency, healthier utilization, and fewer distressed repayment signals all help improve score direction over time.
Repayment behavior, active exposure, credit history strength, and recent borrowing patterns all contribute to the final score band.
No. A user-led score check inside the Kashyka experience is meant to improve visibility, not punish the user for looking at their own credit position.
The score is a summary signal. The report is the wider view that explains the borrowing behavior, active obligations, and details behind that signal.
Yes. The developer option is built so product teams can connect Kashyka score insights and mobile loan actions into their mobile apps and lending web applications.
The mobile loans app uses the score to shape offer visibility, approval direction, and the level of caution needed for each borrowing case.
Yes, depending on the product policy. Weaker scores usually move into tighter limits, more review, or smaller offers instead of automatic rejection.
Every reviewed case strengthens how Kashyka connects its scoring engine to the mobile loans app and to external integrations. That repeat rhythm helps teams approve faster, manage risk more clearly, and deliver more reliable credit journeys.
Talk to the Kashyka team to onboard your mobile loans flow, connect the scoring engine into your product, or map the mobile loans app into a broader credit journey without rebuilding the stack from scratch.
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