Borness AI investment dashboard displayed on screens in a calm working environment

AI-driven market analysis for UK investors, without trading fees

Borness analyses market data in real time and turns it into clear, actionable recommendations. There are no trading fees on the platform, so what you earn stays yours.

Explore the Platform See how it works

Built for UK-based side-hustlers and retail investors who want institutional-grade data tools without institutional costs.

The dashboard view shows live portfolio exposure, a risk score updated continuously, and a short list of suggested adjustments ranked by expected impact.

The problem

Manual analysis is slow, fees erode small gains

—Spreadsheets and scattered charts make it hard to see risk across a whole portfolio at once.
—Per-trade commissions and platform fees quietly reduce net returns, especially for smaller, frequent positions.
—Market conditions shift within hours, but most review routines only happen weekly or monthly.
—Generic advice doesn't account for individual holdings, goals, or risk tolerance.

A co-pilot, not a black box

Borness ingests market and portfolio data continuously, applies predictive models to flag emerging risk and opportunity, and presents the reasoning behind each recommendation in plain language. You decide what to act on; the platform does the heavy data work in the background.

Where manual review might take an evening to cover a handful of positions, the same scan runs automatically and refreshes as new data arrives, with zero fees applied to any resulting trade.

Core capabilities

What the platform does, in practical terms

Real-time analysis

Continuous market scanning

Price movements, volume changes and relevant news are processed as they happen, rather than on a fixed schedule, so your view of the market stays current.

Risk mitigation

Risk mitigation engine

Each holding is scored against volatility, concentration and correlation factors, with alerts raised when a position moves outside your stated tolerance.

Zero-fee structure

Zero-fee trading logic

No commission is charged on trades executed through the platform, so the full value of a gain is retained by you rather than split with intermediaries.

Personalised output

Custom recommendations

Suggestions are weighted by your existing portfolio composition and declared goals, not generic market consensus, and are updated as conditions change.

Methodology

How recommendations are produced

The process is deliberately visible, so you can judge the basis for any suggestion rather than relying on trust alone.

Data ingestion

Market feeds, pricing history and your linked portfolio data are collected and standardised, giving the models a consistent, up-to-date dataset to work from.

Predictive modelling

Statistical and machine-learning models identify patterns in volatility and price behaviour, producing probability-weighted forecasts rather than fixed predictions.

Strategy refinement

Forecasts are checked against your risk settings and goals, and recommendations are adjusted or discarded before they ever reach your dashboard.

Borness team reviewing predictive model output on a laptop

About the platform

Built for people managing investments alongside a full life

Borness was designed around a simple constraint: most retail investors don't have hours each day to monitor markets. The platform is built to run in the background, surface only what needs attention, and leave day-to-day decisions firmly with you.

Every recommendation includes the underlying reasoning, so the system can be checked and understood rather than taken on faith.

Use cases

Where this fits into a side-hustle routine

Portfolio optimisation

Rebalancing without constant manual review

A user holding a mix of shares and funds sets target allocations once. The platform monitors drift against those targets and proposes specific rebalancing trades, each costing nothing in fees to execute, when thresholds are crossed.

Allocation drift alert, risk score, suggested rebalancing trade

Market volatility shield

Flagging exposure before it becomes a problem

During a sudden market swing, the risk mitigation engine identifies which holdings are driving the increase in portfolio volatility and suggests defensive adjustments, with the reasoning shown alongside each suggestion.

Volatility spike detected, two positions flagged, defensive options listed

Frequently asked

Questions about fees, security and getting started

If trades are free, how does Borness generate revenue?

Borness does not charge commission on trades. Revenue comes from optional subscription tiers that unlock deeper analytics and extended historical data, rather than from a cut of your trading activity. The core zero-fee trading function remains unaffected by which tier you use.

How is my account and financial data protected?

Account data is encrypted in transit and at rest, and access to linked brokerage information is limited to what is required to generate recommendations. You can review or revoke data connections from your account settings at any time.

Do I need technical or financial expertise to use this?

No specific background is required. Recommendations are presented in plain language with the supporting reasoning included, so you can evaluate each suggestion on its merits before deciding whether to act on it.

Review your portfolio data with a clearer, fee-free lens

Set up takes a few minutes. You keep full control over which recommendations you act on, and every trade placed through the platform carries zero fees.

Explore the Platform Read the FAQ