AlpBitrex analyses your treasury data continuously, surfacing where cash sits unproductively and what to do about it — protected by military-grade encryption and built to align with UK regulatory standards.
AlpBitrex was built to remove that hesitation — replacing manual analysis with continuous, model-driven oversight of where your capital sits and what it could be doing instead.
Each is designed to reduce the manual burden on your finance function rather than add another system to monitor.
Forecasting models trained on historical and live market data highlight likely shifts in liquidity requirements, giving you a working view of cash needs weeks ahead rather than a static snapshot.
Positions and balances are re-evaluated continuously against your risk parameters, with alerts raised the moment exposure moves outside agreed thresholds.
Recommendations are filtered through a compliance layer aligned to UK regulatory expectations, so suggested actions remain within the boundaries your business operates in.
Every dataset AlpBitrex processes is encrypted in transit and at rest using AES-256 standards, the same class of encryption used across regulated financial infrastructure. Client data is held in isolated silos rather than shared processing pools, so no client's data is ever exposed to another's models or analysts.
This infrastructure is designed to support, not replace, your existing compliance and audit processes — recommendations remain advisory and reviewable at every stage.
Data enters through a secured connection, is processed within its own silo, and is never pooled with other clients' information — a structure intended to remain stable as your data volume grows.
Onboarding is designed to require minimal disruption to existing finance workflows.
Your accounting or banking data is connected through encrypted channels, with permissions scoped to read-only access where possible.
Models identify recurring cash flow patterns, seasonal variance and idle balances across accounts, without requiring manual tagging.
Findings are delivered as clear, prioritised recommendations, with the underlying reasoning available for review by your finance team.
AlpBitrex was developed for finance directors and business owners who want data-backed reasoning behind every recommendation, not opaque outputs to accept on faith. The platform is designed to explain its logic in plain terms, so decisions remain firmly in your hands.
Its focus is deliberately narrow: analysing liquidity, risk and compliance data to support better capital decisions, rather than offering speculative trading signals or guaranteed outcomes.
A medium-sized enterprise with seasonal revenue connects its operating accounts to AlpBitrex. The platform identifies a recurring dip in liquidity each quarter and recommends a short-term allocation strategy for surplus cash held between dips, reducing the amount left idle in low-yield accounts.
As a business adds new suppliers or expands headcount, working capital needs shift quickly. AlpBitrex tracks these changes against historical burn rate, flagging when reserves should be adjusted before a shortfall becomes urgent.
A business holding foreign currency receivables uses AlpBitrex to monitor exchange rate exposure in real time, receiving early alerts when volatility moves risk levels outside agreed tolerances.
Your business retains full ownership of all data at all times. AlpBitrex processes it under a limited licence solely to generate your recommendations, and access can be revoked at any point, after which associated data is removed from active processing.
Integration is handled through secure, encrypted connections to common accounting and banking platforms. Where a direct integration is not available, data can be provided through a secured upload process, with no disruption to your existing bookkeeping workflow.
Recommendations are generated from patterns in your own data combined with market and regulatory inputs, and each one includes the reasoning behind it so your team can assess it before acting. The platform is designed to inform decisions, not to replace human judgement.
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