Built for discipline, not guesswork
Aihealth combines predictive modelling with automated execution so your dollar-cost averaging stays consistent and your downside stays managed — without you having to watch the market all day.
Capital at risk. Not financial advice.
What sets Aihealth apart
Most tools either automate blindly or require constant manual oversight. Aihealth is designed to do both jobs at once — consistent execution, informed by live conditions.
Prediction before execution
Every scheduled buy is checked against a short-term model before it's placed, rather than fired on a fixed calendar regardless of conditions.
Risk mitigation as default
Drawdown limits and exposure controls run continuously in the background, not as an optional add-on you have to configure correctly yourself.
Built around a UK workflow
Designed with UK-based professionals in mind — straightforward reporting, clear terminology, and no assumption of full-time market monitoring.
Transparent reasoning
Every automated action is logged with the signal that triggered it, so you can see why the system acted, not just that it did.
No emotional overrides
The system follows your configured strategy consistently, removing the impulse to pause, chase, or abandon a plan mid-cycle.
Set it, then review it
Configure your parameters once, then check in on your schedule — weekly or monthly — rather than reacting to every market move.
We built the tool we wished existed
Dollar-cost averaging works because it removes timing decisions from the equation. But fixed-schedule automation still buys into weak conditions and still exposes you to drawdowns it never anticipated.
Aihealth keeps the discipline of a schedule while adding a layer of judgement — adjusting pace and tightening risk controls when conditions call for it, so the strategy adapts without you needing to intervene manually.
That combination — consistency plus responsiveness — is the reason we built this platform the way we did.
A process designed around accountability
Every decision the system makes is tied to a rule you set and a signal it observed.
You define the parameters
Set your contribution schedule, risk tolerance, and exposure limits once, in plain terms.
The model evaluates conditions
Before each scheduled action, short-term signals are checked against your configured thresholds.
You review the outcome
Every action is logged with its reasoning, so you can audit performance and adjust settings over time.
Two common ways people use Aihealth
Steady accumulators
You want to keep contributing on a regular basis without second-guessing every entry point. Aihealth keeps your schedule running while quietly adjusting pace around short-term volatility, so you're not buying blindly into every dip or spike.
Risk-conscious professionals
Your time is limited and your tolerance for unmanaged drawdown is low. Aihealth applies your exposure limits automatically and flags conditions that fall outside your configured comfort zone, so oversight doesn't require daily attention.
See if Aihealth fits how you invest
Set your parameters, let the system handle the schedule, and review the results on your own time.