Tallifority AI dashboard concept representing calm, data-led portfolio oversight

AI-Led Portfolio Intelligence

Data-driven stability for your portfolio, verified in public

Tallifority AI applies predictive data analysis to long-horizon portfolios, favouring capital preservation over speculative upside. Every recommendation is logged and open to review.

36 mths Continuous public verification log
Weekly Log update frequency
Capital-first Risk model priority

A predictive model built for restraint, not speed

Tallifority AI processes market, economic, and volatility data through a layered model trained to flag downside risk before it compounds. The system is designed to slow down in uncertainty, not accelerate into it.

  • 01

    Data ingestion

    Market feeds, macroeconomic indicators, and historical volatility data are collected and standardised continuously.

  • 02

    Risk scoring

    Each asset class is scored against a capital-preservation threshold before any allocation logic runs.

  • 03

    Recommendation output

    Adjustments are presented as clear, reviewable recommendations rather than automatic trades.

  • 04

    Log entry

    Every recommendation and its outcome is recorded to the public performance log for later verification.

Every recommendation is recorded and open to review

We do not rely on testimonials. Instead, Tallifority AI publishes a running log of model recommendations and their subsequent outcomes, available to any registered user.

Entry Date Asset Class Recommendation Risk Flag 30-Day Outcome Status
03 Jan 2025 UK Gilts Hold / Increase weighting Low +0.6% Verified
17 Jan 2025 Global Equities Reduce exposure Moderate -0.2% Verified
02 Feb 2025 Investment-Grade Bonds Maintain weighting Low +0.4% Verified
21 Feb 2025 Cash Reserves Increase buffer Low +0.1% Verified

Log entries are timestamped and retained in full, including recommendations that underperformed. Users may cross-reference any entry against independent market data.

Built around capital preservation, not aggressive returns

The model treats drawdown avoidance as a primary objective, not a secondary constraint. Allocation changes are weighted toward reducing exposure during periods of elevated volatility, even where this limits short-term gains. This approach is intended for investors prioritising stability over speed of growth.

Drawdown limits

Portfolios are monitored against predefined drawdown thresholds, with recommendations triggered before limits are breached.

Diversification checks

The model continuously assesses concentration risk across asset classes and geographies.

Human review layer

Automated recommendations pass through a review step before being surfaced, reducing the risk of model overreaction.

Independent logging

Outcomes are logged separately from recommendations, so performance cannot be retroactively adjusted.

How data becomes a straightforward decision

Below are representative scenarios showing how model output is translated into a single, clear recommendation for the investor to act on or decline.

Retirement Drawdown

Reducing sequence-of-returns risk

For an investor drawing a fixed monthly income, the model flagged rising equity volatility and recommended shifting a portion of holdings into short-duration bonds ahead of a market dip.

Volatility exposure reduced -18%
Capital Protection

Identifying concentration risk

A portfolio with heavy weighting in a single sector was flagged for rebalancing, with the log showing the recommendation and subsequent outcome over the following quarter.

Sector concentration -24%
Steady Growth

Maintaining a defensive allocation

During a period of market calm, the model recommended holding existing positions rather than chasing short-term gains, consistent with its capital-first priority.

Recommendation held 9 weeks
Tallifority AI analysts reviewing verified portfolio data

Built for investors who value clarity over noise

Tallifority AI was developed to give UK-based retirees and conservative investors a transparent, methodical view of how data-driven recommendations affect their portfolio over time. There is no automated trading and no black-box reporting; every recommendation is explained and logged before it reaches a user.

The platform is intended as a decision-support tool, used alongside a financial adviser or independently by experienced investors who want a second, data-led perspective.

Review the log before you commit any capital

Access is free to view the verification log and methodology in full. No payment details are required to browse the historical record.

Secure Access

Tallifority AI does not manage client funds directly and does not guarantee investment returns. Past log entries reflect historical model output only.