Cedar Zinsvault brings together data from every exchange your business holds a position on, applies predictive modelling to that data, and presents a single view of where capital sits idle and where it could be working harder.
Most businesses do not lose capital through poor decisions. They lose it through decisions that are never made. Cash sits in current accounts or in a single exchange balance, earning little, while the data required to redeploy it productively is scattered across platforms, spreadsheets, and statements that nobody has time to reconcile.
Balances held across several exchanges rarely appear in one place, which delays even simple allocation decisions.
Without forward-looking models, decisions tend to follow past events rather than anticipate likely conditions.
Capital left idle does not announce its cost. It simply fails to contribute to the business over time.
Cedar Zinsvault was built around a simple observation: the business owners and finance leads who are best placed to act on capital opportunities are usually the ones with the least time to analyse raw data. The platform exists to close that gap, translating multi-exchange activity into a small number of clear, well-supported recommendations.
We do not aim to replace judgement. The platform surfaces patterns, models likely outcomes, and flags risk, leaving the final decision where it belongs: with the people who answer for it.
Businesses rarely hold capital in a single place. Cedar Zinsvault connects to the exchanges and accounts a business already uses and consolidates balances, movement, and exposure into a single dashboard, updated continuously rather than reconstructed manually at month end.
The result is not another report to read. It is a working view of where capital currently sits, how it is performing, and where it could reasonably be reallocated without taking on disproportionate risk.
The platform models a range of plausible outcomes for idle balances under different allocation strategies, rather than producing a single forecast presented as certainty. This allows owners to weigh upside against downside before committing capital.
By analysing movement across connected accounts over time, the system identifies recurring patterns in cash build-up and drawdown, which helps anticipate when capital is likely to sit unused for extended periods.
Every recommendation is paired with a stated risk profile and a plain description of the conditions under which it would underperform. Nothing is presented without the context required to judge it properly.
Exchange and account connections are established through secure, read-only access, so existing operations continue without disruption while data begins to flow into the dashboard.
Historical and live data is analysed to establish a baseline: where capital typically sits, how it moves, and where inefficiencies or idle periods already exist.
Recommendations are presented with supporting detail and risk context, allowing the business to act, defer, or decline each one, with the dashboard updating as decisions are made.
A business holding working capital across several exchange accounts can use consolidated visibility to identify which reserves are genuinely needed for operations and which have sat unused beyond a reasonable buffer period.
Where capital is concentrated in one exchange or asset type, modelling can illustrate how exposure would change under alternative allocations, supporting a more deliberate diversification decision.
By analysing historical drawdown patterns, a business can distinguish capital that must remain liquid from capital that could reasonably be allocated to longer-dated opportunities.
Access to connected exchanges is established on a read-only basis wherever the exchange supports it, limiting the platform's ability to move or withdraw funds.
Data is encrypted in transit and at rest using industry-standard AES-256 protocols, consistent with established practice for handling financial data.
Our data handling practices are built with regard to UK data protection law, including the principles set out under UK GDPR.