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Our mission

Make loan servicing easier to govern, more affordable to operate, and more humane

Loan servicing touches people at some of the hardest moments of their financial lives. We believe the software behind those moments should be easier to examine, affordable for the lender, and humane for the borrower. That is the standard LendEasy is built to meet.

Why servicing needs a new operating model

The founding story

Founded by builders of lending infrastructure used worldwide

LendEasy's founders spent their careers building lending and banking platforms used worldwide. They started LendEasy to bring case work, policy checks, people, and AI into one servicing operation.

Vishwas Babu

Vishwas Babu

AI Agent Product & Lending Infrastructure

Vishwas has spent his career building lending and banking platforms used by regulated financial institutions. He co-founded Finflux, helping build loan origination and servicing infrastructure used by financial institutions and fintechs across global markets. He later served as Chief Product Officer at Mbanq and Chief Platform Officer at LendAPI, where he led the development of a U.S.-focused loan servicing platform. He has also been an active leader in the Apache Fineract and Mifos Initiative communities, giving LendEasy deep roots in open, bank-grade lending infrastructure.

Ullas Sankhla

Ullas Sankhla

AI Agent Engineering & Cloud-Scale Infrastructure

Ullas is a distributed systems architect with over 14 years at Amazon Web Services, where he built high-scale data platforms for AWS Commerce and Billing, handling millions of transactions per second and petabyte-scale data. At LendEasy, he leads engineering, building AI agents and the control plane for automated, compliance-native loan servicing.

Principles

What we refuse to compromise on

These principles show up in the product controls, APIs, audit records, and operating workflows.

Compliance is engineering, not paperwork

Important rules should be linked to their source and version, checked before an action, and recorded with the decision.

AI needs an operating model

Each AI agent needs scoped access, supervised activation, human review where required, and an accountable record of its actions.

Open standards over lock-in

We use open foundations, documented APIs, and standard databases so customers can understand the integration and keep a practical exit path.

Records behind every decision

Balances, policy decisions, approvals, and AI actions are backed by records your team can search, export, and review with an examiner.

Open infrastructure heritage

We were infrastructure people first

Before LendEasy, our team helped build and operate lending infrastructure used by institutions and fintechs across global markets. That background shapes how we build now: core servicing logic that is inspectable, extensible, and designed for long-term control rather than vendor lock-in.

What that buys our customers

  • A lending core your auditors can actually read, hardened by a global community
  • Open standards and documented contracts that preserve a practical exit path
  • A team that has supported regulated institutions on this foundation for years, not quarters
Why the lending core is open source

Help us build AI with clear controls for lending

We are a small team working on a hard, consequential problem — and we are always glad to meet engineers, compliance minds, and operators who care about it as much as we do. If you service loans every day and want to build with us, we'd love to hear about your portfolio.

Build this with us

We're building LendEasy alongside a small group of lenders — direct access to the founding team, and a roadmap that bends toward your hardest servicing problems.