AI decision-optimisation
Alltion applies predictive modelling to your portfolio and business data, then recommends where to allocate capital next. There is no brokerage fee, platform fee, or percentage taken from your returns.
The visualisation above reflects live signal weighting across asset classes — each node represents a data input the model is currently reconciling, not a guaranteed outcome.
The problem with most tools
Most people managing side-investments or a growing business are not short of information. They are short of time to interpret it, and short of margin once fees are deducted. A typical platform fee of even a fraction of a percent, compounded across dozens of trades or transactions a year, quietly erodes the advantage that good decisions are supposed to create.
Alltion removes that second problem entirely. The model still has to earn your confidence through the quality of its output — it simply does not take a cut of the outcome to do so.
How the zero-fee model works
Each part of the system is designed to remove a specific cost or delay that typically sits between a decision and its outcome.
The model ingests historical and live data for an asset or revenue stream and produces a probability-weighted forecast, rather than a single point prediction. You see the range, not just the headline figure.
Recommendations update as new data arrives, so a position or allocation can be reviewed continuously rather than recalculated manually at the end of each week or quarter.
A traditional platform fee is charged regardless of whether its advice outperforms the market. Alltion is funded independently of transaction volume, which removes the incentive to encourage unnecessary activity and keeps the full return with the person who took the decision.
Keep 100% of what you earn.
No commission, no spread markup, no percentage-of-profit arrangement.
Methodology
Transparency matters more than novelty here. The following is the sequence Alltion follows for every recommendation it produces, so you can judge the reasoning rather than simply trusting the output.
Market data, account activity, and any business or portfolio figures you connect are pulled in and normalised into a common format for comparison.
The model cross-references patterns against historical scenarios, weighting recent volatility more heavily than older, less relevant data points.
A ranked set of options is presented with the reasoning behind each, functioning as a co-pilot for capital allocation rather than an automatic instruction.
Applied use cases
For someone trading equities around a day job, the limiting factor is usually attention, not insight. Alltion continuously screens a watchlist against earnings data, sector momentum, and volatility patterns, surfacing only the positions where conditions have meaningfully changed since the last review.
Interface view: a ranked daily digest replaces manual screening, with each entry showing the data points that triggered it.
of any gain, since no execution fee is deducted from the trade.
Alternative assets such as property-backed instruments or private credit carry less standardised data. The model flags where available information is thin and adjusts its confidence intervals accordingly, rather than presenting an artificially precise figure.
Interface view: a confidence-banded forecast, with the underlying data sources listed for review.
rather than a single predicted return, reflecting genuine data limitations.
A growing business often has more cash decisions than hours to analyse them. Alltion models cash-flow scenarios against planned expenditure, highlighting when reinvestment is likely to outperform holding cash or paying down a facility early.
Interface view: a side-by-side scenario comparison, updated as actual figures replace projections.
instead of a fixed quarterly cycle, since the model re-runs as new figures arrive.
About the approach
Alltion was designed on the premise that a recommendation is only useful if the person receiving it can interrogate how it was reached. Every output is accompanied by the data inputs and the reasoning path that produced it, so you are reviewing a model, not accepting a black box.
The platform is built for people managing side-investments or scaling a business alongside other commitments — those who need rigour without needing to become a full-time analyst.
Questions worth asking
Account and portfolio data is encrypted both in transit and at rest, and is used only to generate your own recommendations. It is not sold or shared with third parties for marketing purposes, and you can disconnect any data source at any time.
The platform connects to common brokerage and accounting data exports, and can ingest manually uploaded figures for assets that do not have an API available. Integration depth depends on what your existing providers expose.
Alltion does not charge a commission, spread markup, or percentage-of-profit fee on the trades or capital allocation decisions it supports. This is structural to how the platform is funded, not a promotional rate that reverts later.
No. Alltion produces probability-weighted recommendations based on available data; it does not eliminate market or business risk. It is built to improve the quality of a decision, not to promise its outcome.
Connect a data source, see the recommendations it produces, and decide from there whether the reasoning holds up.
Access the platformNo credit card required to review the model.