Tyndrum dashboard environment showing real-time data analysis for investment decisions
For UK gig workers & individual investors

One-click portfolio setup. Start earning in under 60 seconds.

Tyndrum uses predictive AI to analyse market data in real time, delivering high-probability investment signals directly to your dashboard. No complex analysis required.

Launch Your Portfolio

Link an account, let the model scan for inefficiencies, and receive a prompt. The whole setup is designed to take less time than reading this paragraph.

Tyndrum data analysis process illustrating AI-driven investment signal generation
Data intelligence for the gig economy

Analyse. Optimise. Execute.

Tyndrum's models process millions of market data points every minute, isolating the small number of signals that matter for a supplemental-income portfolio. The output is a short list of recommendations, not a research report to decode.

  • Analyse — continuous scanning of price, volume and volatility data across tracked markets.
  • Optimise — capital allocation adjusted against your stated risk tolerance.
  • Execute — a single prompt tells you what to do next, with no further analysis on your part.
How it works

Three steps, under a minute

The 60-second claim refers to setup, not research time. Here is exactly what happens.

01

Connect

Securely link your accounts using bank-grade encryption and read-only access.

02

Analyse

Tyndrum's models scan for pricing inefficiencies and timing opportunities.

03

Earn

Receive real-time prompts to optimise your capital and act on them directly.

Built for caution, not speculation

Risk management, automated

Supplemental income only works if it does not become a liability. Tyndrum's predictive models are designed to flag volatility before it reaches your portfolio, using the same forecasting techniques built for institutional trading desks and repurposed for individual, part-time investors.

  • Volatility forecasting

    Models estimate the probability of adverse price movement before capital is committed.

  • Exposure limits

    Position sizing is capped automatically against your declared risk tolerance.

  • Institutional-grade modelling

    The same statistical methods used in professional risk desks, applied to accounts of any size.

Investment value can fall as well as rise. Tyndrum provides data-driven signals, not guaranteed outcomes, and does not offer regulated financial advice.

Applications

Two ways gig workers use Tyndrum

Short-term

Liquidity optimisation

Irregular income from gig work often sits idle between payouts. Tyndrum identifies short-duration opportunities so that cash waiting for its next use is not sitting completely passive.

Outcome: capital stays liquid and available, while still working between jobs.

Long-term

Strategic asset allocation

For users building a secondary income stream over months rather than days, Tyndrum forecasts longer-horizon trends and adjusts allocation gradually, rather than reacting to daily noise.

Outcome: a portfolio positioned for trend direction, not short-term swings.

Questions

Before you connect an account

How is my financial data protected?

Account connections use read-only, bank-grade encrypted access. Tyndrum never stores login credentials and cannot move funds on your behalf.

Is the 60-second setup realistic, or a marketing figure?

It refers to the connection and configuration step only — linking an account and setting your risk tolerance. Reviewing your first recommendation takes as long as you choose.

How does the AI adapt to UK market shifts?

Models retrain on recent market data continuously, which allows recommendations to reflect current conditions rather than historical averages that may no longer apply.

Do I need investment experience to use this?

No. The platform is built to remove manual analysis, not to require it. You set a risk tolerance; the system translates that into recommendations.

Can I stop using the AI recommendations at any time?

Yes. Every prompt is a suggestion, not an automatic action. You decide whether to act on it, each time.

Stop analysing. Start deciding.

Set your risk tolerance once, and let predictive signals handle the ongoing analysis.