Lupsee
    About

    We're building the operating layer for agentic finance

    Lupsee enables AI agents to issue, transact, and reconcile across institutions within policy guardrails, with every action signed, logged, and subject to human control.

    Why agentic finance needs new infrastructure

    Financial operations were designed around queues, batch windows, and manual handoffs. AI agents can reason and act continuously, but they cannot safely operate across institutions without identity, permissions, transaction controls, and a shared source of truth.

    We're building that operating layer: a shared ledger where agents participate as governed operators, execute atomic settlement at machine speed, and escalate critical decisions to people. Automation moves faster without moving beyond institutional control.

    Agents as Operators

    Agents receive identities, scoped permissions, and direct access to issuance, settlement, and reconciliation workflows instead of another dashboard that still requires manual execution.

    Automation with Limits

    Policy engines enforce counterparties, amounts, approvals, and operating windows before execution. Sensitive actions pause for people; every decision remains replayable for audit.

    The Transformation

    From legacy friction to instant flow

    See how policy-bound agents transform settlement, compliance, treasury, and reconciliation

    Legacy Banking

    Delayed Settlement

    1-3 days

    Payments move through correspondent chains, cutoffs, and batch windows

    Manual Compliance

    Queue-based

    Screening and approvals wait in queues across disconnected systems

    Idle Liquidity

    Pre-funded

    Treasury teams pre-fund accounts without a real-time network view

    Manual Reconciliation

    After the fact

    Operators match records after settlement across multiple parties

    Lupsee Network

    Agentic Settlement

    Seconds

    Settlement agents coordinate atomic transfers directly on the network

    Atomic Execution

    Policy-Driven Compliance

    Pre-trade

    Compliance agents screen transactions before value moves

    Policy Guardrails

    Autonomous Treasury

    24/7

    Treasury agents monitor positions and rebalance within approved limits

    Scoped Authority

    Continuous Reconciliation

    Continuous

    Reconciliation agents match signed actions to ledger finality in real time

    Full Audit Context

    The result: AI agents can operate across institutions at machine speed while policy guardrails and human approvals preserve control.

    Principles

    How we build for governed autonomy

    The principles behind infrastructure where agents can act and institutions remain in control.

    Signed by Default

    Every agent has a verifiable identity. Every instruction, approval, and transaction is attributable and auditable.

    Policy Before Execution

    Deterministic controls enforce limits, approved counterparties, and required approvals before value moves.

    Integration First

    Agents connect to existing core banking, treasury, and risk systems. Institutions keep the systems they trust.

    Human Authority

    Agents automate routine operations while sensitive actions pause for review. People define and control the boundary.

    Build the agentic operating layer with us

    See how agents operate across compliance, treasury, and settlement workflows while policies and human approvals keep every action within bounds.