Loan Management System for Fintech Lenders
Lokta Core is built for engineering-led fintechs and digital lenders. OpenAPI 3.1 with header versioning, polylithic Gradle modules, schema-per-tenant Postgres, and a canonical data model an AI servicing agent can read accurately. Modern primitives throughout — API-first, identity-native, audit-by-design — sized for the agentic tool-call load real digital servicing generates.
What fintech lenders ask LMS vendors for
Four requirements every fintech LMS evaluation surfaces. Each maps to a Lokta Core capability that ships with the platform.
OpenAPI 3.1 with header versioning.
Specs generated from controllers; new versions ship without breaking existing clients. Polylithic Gradle modules — engineering teams extend in-tree without vendor SOWs.
Loan servicing exposed as APIs your product owns.
Servicing flows — repayments, charges, schedules, foreclosure quotes — exposed as a stable API surface your front-end and AI servicing agent build against. The LMS is infrastructure, not a UI you bolt on.
Canonical data model an AI agent can read accurately.
One ontology — borrower, loan, risk, collections — modelled once and used everywhere. AI servicing agents read canonical state, propose actions through maker-checker, and write to the same audit trail as human servicing staff.
Sized for agentic-grade tool-call load.
Schema-per-tenant Postgres, jOOQ + JPA dual access, structured audit, and an event catalogue designed in. Built for the 5–10× tool-call envelope agentic operations generate per account.
How Lokta Core maps to those requirements
| Fintech requirement | Lokta Core response |
|---|---|
| API contract & versioning | Available in platform OpenAPI 3.1 generated from controllers. Header-based versioning (api-version: 1|2). New versions never break existing clients. |
| Loan servicing as APIs | Available in platform Repayment, charges, schedules, foreclosure quote, statements — all exposed as governed APIs your product builds against. |
| Canonical data model | Available in platform One ontology across borrower, loan, risk, collections. No reconciliation between per-module data stores. |
| AI servicing agent surface | Available in platform Lokta Delight operates on canonical loan data with maker-checker on state-changing actions. |
| Polylithic extensibility | Available in platform Polylithic Gradle modules — your engineers extend in-tree without vendor-managed SOWs. |
| Deployment | Available in platform Single-tenant cloud or customer VPC; same Spring Boot binary, fast time-to-launch without giving up isolation. |
Why fintech lenders pick Lokta
Engineering-led fintechs do not buy enterprise software the way banks do. They read the architecture, evaluate the API surface, look at the module structure, and ask whether they will be able to extend the platform in-tree as their product evolves — or whether they will be back on a vendor SOW for every change.
Lokta Core is built for that buyer. Java 25 + Spring Boot 4 + Postgres, OpenAPI 3.1 with header versioning, jOOQ + JPA dual data access, Liquibase migrations across every module. Polylithic Gradle modules so your engineers can compose, extend, or replace one capability at a time. The LMS is infrastructure your team operates, not a vendor-managed black box.
Common fintech questions about Lokta Core
What engineering-led fintechs typically ask in an LMS evaluation.
-
Is Lokta Core API-first?
Yes. OpenAPI 3.1 specifications are generated from controllers, not hand-maintained, so the API contract and the implementation cannot drift. Header-based versioning (api-version: 1|2) means new versions ship without breaking existing partner clients.
-
Can our engineers extend Lokta Core in-tree?
Yes. Lokta Core is polylithic — a single Spring Boot binary composed of independent Gradle modules. Your engineering team adds new modules, replaces existing ones, or extends behaviour without going through a vendor-managed SOW for every change.
-
Does Lokta Core expose loan servicing as APIs we can build our own UX on?
Yes. Repayments, charges, schedules, foreclosure quotes, and statements are all exposed as governed APIs. Your product team owns the borrower-facing UX, mobile app, and AI servicing interface; Lokta Core is the infrastructure underneath, not a UI you bolt on.
-
Will Lokta Core handle the tool-call load from agentic servicing?
Yes. The platform is sized for the 5–10× tool-call envelope agentic operations generate per account. Schema-per-tenant Postgres, dual jOOQ + JPA data access, structured audit, and a designed-in event catalogue carry the load without batch-era throttles.
-
What is the deployment model — multi-tenant SaaS or single-tenant?
Lokta Core deploys as single-tenant cloud or inside your VPC, not multi-tenant SaaS. The same Spring Boot binary runs across both — fast time-to-launch without giving up tenant isolation, no shared database between customers.
Invite Lokta to your RFP
Tell us your stack. Current LMS, current core banking model, integration partners, AI servicing aspirations, RFP stage, target go-live. You will receive a fitment read and a draft response within five business days, with direct access to the founding team.