May Locvinh runs predictive models against your reserves around the clock, surfacing allocation decisions in real time. Funds remain withdrawable on demand — no lock-up periods, no notice windows.
Each pillar operates independently and is auditable on its own terms. Together they define how May Locvinh converts idle balances into monitored, working capital.
Models are trained on historical rate movement, counterparty data, and liquidity curves, then re-scored on a rolling basis rather than at fixed intervals. Output is a ranked set of allocation options, not a single forecast.
Market inputs refresh continuously. Positions are re-evaluated the moment conditions shift, reducing the lag between a market event and a response in your account.
Capital is never routed into instruments that restrict access. Every allocation is screened against a same-day withdrawal requirement before it is approved.
Technical summary: Decisioning runs on a continuous evaluation loop with no fixed rebalancing schedule. Each allocation carries a liquidity flag and a confidence score, both visible in your account log at the time the decision is made.
No part of the process relies on manual intervention or discretionary override. The sequence below runs for every cash position under management.
Account balances, market feeds, and counterparty risk data are pulled into the model on a continuous schedule.
The engine scores available allocation paths against current conditions and your account's liquidity threshold.
Each candidate decision is checked against risk limits before execution. Decisions failing a check are discarded.
Approved allocations are executed and logged, with a plain-text rationale attached to the record.
The model does not operate as a sealed black box. Every executed decision is accompanied by the input variables and threshold values that triggered it, retrievable from your account history at any time.
Allocation limits, counterparty exposure caps, and a mandatory liquidity floor are enforced before, not after, capital moves. The system rejects any path that would breach these limits, regardless of projected return.
Lock-up periods exist to simplify asset management on the provider's side, not to benefit the client. May Locvinh does not use them. Withdrawal requests submitted before end of business are processed the same day, independent of the current allocation state.
This constraint is enforced at the model level: no allocation decision is approved unless it preserves same-day liquidity for the full balance.
Start AnalysisThe scenarios below reflect common positions held by UK small businesses rather than hypothetical portfolios.
Funds set aside for quarterly VAT or monthly payroll sit untouched for weeks at a time. May Locvinh analyses the payment calendar and keeps the full reserve liquid while it is positioned, releasing it on schedule with no withdrawal delay.
Businesses with uneven revenue cycles hold surplus cash during peak months. The model adjusts exposure as seasonal patterns shift, without requiring the owner to manually rebalance or forecast the next quarter.
Capital held ahead of a planned investment, acquisition, or equipment purchase can sit for months. Continuous analysis keeps the position monitored, while instant withdrawal means the capital is ready the moment it is needed.
May Locvinh was built around a single constraint: capital under analysis must remain fully accessible at all times. The engine, risk limits, and withdrawal mechanics are all designed around that requirement first, with return as a secondary optimisation target.
The platform is positioned for UK-based small business owners and sophisticated investors who want a disciplined, data-driven process applied to reserves that would otherwise sit in a non-interest account.
These cover the mechanics most often raised before a first allocation is made.
Onboarding requires standard business verification (company registration details and a nominated account holder) and a source-of-funds declaration. Once verified, your account is connected to the analysis engine and the first allocation cycle runs within the same operating day.
Account and transaction data is encrypted in transit and at rest. Model inputs are processed within segregated infrastructure, and raw data is never shared with third parties for purposes unrelated to your account's analysis.
A withdrawal request submitted before the end of the business day is processed that same day, regardless of current allocation. There is no lock-up period, no notice requirement, and no partial-withdrawal penalty.