Built to turn raw data into decisions you can act on
Zaylumen combines automated data analysis, risk-aware modelling, and clear reporting so you spend less time processing numbers and more time making calls.
No spreadsheets. No guesswork. Just structured analysis.
Everything you need to evaluate, decide, and monitor
Zaylumen was designed around a single question: how do investors and businesses actually make decisions? The features below map to each stage of that process — from gathering data through to ongoing monitoring.
Automated Data Aggregation
Zaylumen pulls together relevant financial and market data into a single structured view, removing the manual work of collecting and reconciling sources before analysis can even begin.
AI-Driven Analysis
Our models process the aggregated data to surface patterns, trends, and anomalies that would otherwise take hours of manual review to identify.
Decision-Optimisation Engine
Rather than just presenting data, Zaylumen translates analysis into ranked options and recommendations, weighted against the goals and constraints you define.
Scenario Comparison
Model multiple outcomes side by side. Adjust assumptions and instantly see how each scenario shifts projected results, helping you stress-test decisions before committing.
How the feature set fits together
Each feature builds on the last, forming a continuous flow from raw input to ongoing oversight.
Connect & structure
Bring in your data sources and let Zaylumen organise them into a consistent, analysis-ready format.
Analyse & rank
The engine evaluates options against your defined criteria and produces a ranked, explainable output.
Monitor & adjust
Ongoing tracking flags material changes, so decisions can be revisited before conditions shift too far.
Features that keep exposure visible, not hidden
Optimisation without visibility into risk isn't optimisation — it's guesswork with better formatting. Every recommendation from Zaylumen comes with the context behind it.
- Confidence indicators attached to every model output, not just a single headline figure.
- Sensitivity views showing which assumptions most influence a given result.
- Configurable thresholds that flag results falling outside your acceptable risk range.
- Historical comparison to show how similar scenarios have played out over time.
- Plain-language summaries alongside the underlying data, for faster review.
Clear outputs, ready to share
Analysis is only useful if it can be understood and acted on by the people who need it — not just the person who ran the model.
- Structured reports Every analysis run generates a structured report covering inputs, method, and results — useful for internal review or external discussion.
- Exportable summaries Export key findings in a format suited to presentations, stakeholder updates, or advisor conversations.
- Version tracking Revisit earlier analyses to see how inputs and recommendations evolved as conditions changed.
- Custom criteria Define the metrics that matter most to your situation, so rankings and recommendations reflect your priorities, not a generic default.
See these features applied to your own data
Request early access to Zaylumen and explore how automated analysis and decision-optimisation fit into your workflow.
Get Early Access