Stand it up
Agents wire underwriting to your bureau and alt-data, set pricing, and turn on disbursal and collections.
One platform for the whole lending lifecycle, on one canonical loan object →
The AI-native lending stack. What we'd build if we started today.
Aggregate impact attributed to the Mifos / Apache Fineract ecosystem, not Lokta directly.
A decade across Fineract and Finflux showed us where every lender bleeds: credit policy that goes stale the day it ships, underwriting that scales with headcount, ops cost that climbs with the book.
Lokta is what we'd build if we started today — AI-native from the ground up, with the lending operation on autopilot.
Tell us your product and risk appetite. Agents stand up the operation — underwriting, pricing, disbursal, collections.
Agents wire underwriting to your bureau and alt-data, set pricing, and turn on disbursal and collections.
Every application, repayment, and recovery feeds a richer borrower model. The book sharpens itself the more it lends.
Agents test hundreds of underwriting rules in the time a risk team ships one — and promote the winners automatically.
The system of record cannot guess. Disbursals, interest, fees, postings, and compliance are computed the same way every time — predictable outcomes with full audit trails.
With the core reliable, agents drive speed — handling exceptions, follow-ups, and policy tests inside guardrails. Humans stay in control where it matters.
The core keeps the math honest; the agents move policy faster. The metric is the one lenders have always cared about — profit per rupee disbursed.
Lokta runs lending for fintechs and NBFCs — agents stand up the operation, the book sharpens itself, the lender focuses on growth.
As credit becomes programmable and agent-mediated, Lokta is the layer underneath that decides, prices, and disburses in real time.
Lokta is enterprise-ready and deploys under engagement. We work with a select group of institutions through a founder-led model — deep adoption, deliberate scope, a delivery window the team commits to in writing.