Pelmavor AI applies predictive modelling to business cash reserves, identifying optimisation opportunities under military-grade encryption and full UK regulatory compliance.
AES-256 encrypted · UK data protection alignedCash sitting outside an active allocation strategy is not neutral. Every quarter without review carries a measurable, if invisible, cost.
Directional comparison for illustration only; actual outcomes depend on reserve size, risk tolerance, and market conditions.
The platform is built as a co-pilot for financial decision-makers, not a replacement for their judgement.
Market data, liquidity positions, and business cash flow patterns are consolidated into a single encrypted analysis layer.
The engine synthesises current conditions against historical patterns to surface allocation scenarios and their associated risk profiles.
Recommendations are presented for director-level review and approval before any allocation change is actioned.
Every model output is presented for human review before execution — the system recommends, a director decides.
Automated execution without oversight is not offered by design. Every recommendation generated by the predictive engine requires explicit approval from an authorised individual within the business before funds are reallocated.
Each capability is designed to support a specific business outcome, not to add complexity for its own sake.
Continuous processing of market and liquidity data replaces periodic manual review, shortening the gap between condition and decision.
Enhanced yieldAllocation limits adjust to current volatility rather than remaining fixed at a level set months earlier.
Reduced volatilityMultiple allocation paths are modelled side by side, showing the trade-off between liquidity, yield, and exposure.
Informed decisionsEvery recommendation and approval is logged in a format suited to director-level and regulatory review.
Governance clarityNo marketing language here — only the technical and regulatory basis for how data is handled.
The relevant strategy depends on the shape of a business's reserves, not a single fixed approach.
Businesses with predictable seasonal peaks often hold surplus cash for months at a time between demand cycles. The platform models short-term allocation windows that align with known drawdown dates, keeping funds accessible when needed while reducing the time they sit idle.
For reserves not required for near-term obligations, the engine models longer allocation horizons with periodic rebalancing based on shifting market conditions, rather than a single static decision made once and left unreviewed.
Some directors prioritise capital preservation over yield. In these cases, the platform weights recommendations toward lower-volatility instruments and flags concentration risk before it becomes material.
Pelmavor AI is built for directors who treat efficiency and data security as operating requirements, not optional extras. An executive briefing covers your current reserve position and where predictive allocation may apply.
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