The team behind policy-bound AI for lending.
MPWR is building a policy-agent ecosystem for lenders that need speed, control, and auditability at the same time. Our agents do prep work inside lender-defined rules while keeping final decisions with humans.
Built for regulated workflows.
Lenders are being asked to move faster while managing more data, review requirements, and operational expectations. Traditional tools can track work, but they rarely complete it.
MPWR was built to collect, check, organize, flag, and route work while leaving a clear evidence trail for review.
A connected ecosystem of policy agents.
MPWR is a connected family of policy agents designed for the lending lifecycle, from intake to collections. Each agent focuses on a specific job, and all of them operate inside shared rules and human approval points.
- Policy-bound by design
- Human-in-the-loop always
- Explainable and auditable
- Built to work across existing systems
Lending strategy, AI infrastructure, and operator experience.
Our team brings together lending strategy, AI infrastructure, product leadership, and operator experience across regulated systems.
Leads MPWR's strategy and vision. She focuses on compliance-bound AI that helps lenders move faster without giving up control.
Leads product strategy at MPWR. She brings more than a decade of experience across global credit, fintech, and U.S. consumer lending.
Leads MPWR's technical architecture, secure infrastructure, and agent orchestration. His background spans enterprise engineering, cloud security, and regulated financial systems.
Leads revenue strategy and go-to-market at MPWR. She brings deep experience in fintech sales, banking partnerships, and scaling regulated software.
Depth across finance, enterprise systems, and institutional-scale design.
Advises on AI architecture, data systems, and platform scalability. Her experience spans payments, identity verification, and AI-driven infrastructure.
Run alongside the systems you already use.
MPWR is designed to run alongside the systems lenders already use. We begin with a contained pilot, map policies and approval flows, and connect to existing systems.
- Map policy and workflow
- Connect to the current stack
- Launch a contained pilot
- Review evidence, exceptions, and outcomes together
Principles we hold to.
Meet the team building your policy agents.
If you are exploring how policy-bound AI could fit into your lending workflow, we would be glad to talk.