A serial fintech founder and executive, Vishwas co-founded Finflux (acquired by M2P Fintech) and served as Chief Product Officer at Mbanq and Chief Platform Officer at LendAPI—building full-stack U.S. platforms for deposit accounts, card issuing, loan servicing, and payment rails. As VP of Apache Fineract and Chief Community Engineer at the Mifos Initiative, he co-architected open core banking systems serving hundreds of millions of customers worldwide.
Our mission
Make loan servicing easier to govern, more affordable to operate — because repeatable work moves to AI that runs inside the same controls — 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 modelBuilders of lending infrastructure used worldwide
Lending infrastructure used worldwide
platforms powering institutions and fintechs across dozens of countries
Inspectable lending infrastructure
core servicing logic designed for control, diligence, and extension
AWS-scale data platforms
14+ years on AWS Commerce & Billing — millions of transactions per second
The mission
Loan servicing that is easier to govern, more affordable to operate, and more humane
The founding story
Built by architects of global core banking, lending, and cloud infrastructure
LendEasy's founders spent their careers building lending and banking platforms used worldwide. They started LendEasy to fix the compliance and scaling bottlenecks they experienced building core banking systems—creating one operating layer for people, AI, and policy enforcement.
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
Help us build AI with clear controls for lending
We are a small team working on a hard, consequential problem. If you service loans every day and want to build with us, we'd love to hear about your portfolio.
No open roles right now — but we're always glad to meet people who care about this problem: founders@lendeasy.ai
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.