Morefish predictive analytics dashboard representing data-driven capital allocation
Decision Intelligence for UK Businesses

Predictive Intelligence for Idle Capital

Morefish analyses your financial data in real time and produces risk-adjusted recommendations for surplus cash, helping small business owners and investors act with evidence rather than guesswork.

The Problem

The Cost of Capital Left Idle

Many UK small businesses hold surplus cash in low-yield current accounts because the alternative—assessing market instruments, cash flow timing and risk exposure—takes time most owners do not have. The result is capital that sits still while inflation and opportunity cost quietly reduce its value.

Decision paralysis is rarely about a lack of options. It is about the absence of a reliable, ongoing analysis that tells an owner which option fits their liquidity needs and risk tolerance this month, not last year.

Morefish replaces ad hoc judgement with continuous, model-based analysis, producing recommendations that are specific to the business's own cash position and risk profile.

Core Technology

The Predictive Engine and Risk Management Layer

Predictive Engine

The engine ingests transactional, accounting and market data, then models short- and medium-term outcomes across a defined set of allocation options. Recommendations are ranked by expected return relative to the risk tolerance set by the business.

Model inputs refresh on a scheduled basis and recommendations are reviewed before being surfaced to the user.
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Risk Management

Every recommendation carries a risk score derived from volatility, liquidity requirements and historical drawdown data. Owners set thresholds in advance, and the platform will not surface options that breach them.

Risk thresholds are configurable per account and can be revised at any time without affecting prior recommendations.

Scenario Simulation

Before a recommendation is presented, it is tested against a range of simulated market conditions to estimate how the outcome might vary. This gives owners a range, not a single figure, so decisions account for uncertainty.

Simulations draw on historical market behaviour and do not constitute a guarantee of future performance.
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AES

256-bit encryption is applied to data in transit and at rest across the platform's infrastructure.

Compliance & Security

Security and Compliance Built to Institutional Standards

Morefish is built around the assumption that financial data requires the same handling standards expected of regulated institutions, not consumer software.

Our infrastructure is designed to align with UK data protection requirements, including the UK GDPR, and with the reporting conventions UK accountants and advisers expect.

  • ✓ 256-bit encryption for data in transit and at rest
  • ✓ UK-based data residency for client records
  • ✓ Role-based access controls and audit logging
  • ✓ Alignment with UK GDPR data handling obligations
  • ✓ Periodic third-party infrastructure review
Methodology

From Raw Data to a Reviewable Recommendation

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Connect

Link accounting software, business bank feeds, and relevant market data sources through secure, read-only connections.

02

Analyse

The predictive engine models liquidity needs, cash flow timing and risk tolerance against available allocation options.

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Recommend

A ranked set of options is produced, each with an expected outcome range and an associated risk score.

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Review

The business owner or adviser reviews the recommendation and approves or adjusts before any action is taken.

Typical data sources include:

Business bank feeds Accounting software exports Market pricing data Historical cash flow records
Morefish team reviewing predictive analytics and risk models
About Morefish

An Analytical Tool, Not a Sales Platform

Morefish was built for owners and finance teams who want a defensible basis for capital decisions, rather than another dashboard to monitor. Every recommendation is accompanied by the data and assumptions behind it.

We work with UK small businesses and private investors who hold surplus cash and want a structured, risk-aware process for deciding what to do with it.

Read more about our approach
Use Cases

Decision Optimisation in Practice

Seasonal surplus

Managing a Seasonal Cash Peak

A retail business holds a cash surplus for three months following its peak trading season before funds are needed for stock replenishment.

Outcome: A short-duration, low-volatility allocation matched to the known three-month horizon.
Reserve allocation

Structuring a Capital Reserve

An owner wants to keep six months of operating costs liquid while allocating the remainder of a reserve toward modest growth.

Outcome: A tiered recommendation separating immediate liquidity from longer-horizon allocation.
Market exposure

Evaluating Short-Term Market Exposure

An investor wants to understand the risk profile of a proposed allocation before committing capital for a defined period.

Outcome: A risk score and simulated outcome range presented before any commitment is made.
Ongoing review

Revisiting an Existing Allocation

A finance team wants to confirm whether a previous allocation still matches current liquidity needs after a change in trading conditions.

Outcome: An updated recommendation reflecting current cash flow and risk tolerance.

Review Whether a Structured Approach Fits Your Business

Request access to see how Morefish models your own cash position, or review the documentation first if you prefer to understand the methodology in detail.