Perikles turns chains of events, markets and exposures into a probabilistic operating surface — what may happen, why, how it reaches your portfolio or organisation, and what to do about it. Foresight, exposure analysis and decision, in one engine.
Signals, markets and narratives become scenario beliefs — then those beliefs are mapped to your exposure, and to the decision that follows.
Signals, markets and narratives feed probabilistic scenario beliefs. Predict, explain, and run what-if analysis — with an accruing public track record behind each scenario question.
See how each scenario lands on the entity that matters — positions, portfolios, organisations, counterparties or liabilities — ranked by impact.
Analysis carried through to consequence: what to monitor, what to document, what to escalate, and which assumptions would need revisiting.
Signals, markets, narratives and structured variables feed scenario beliefs and their probabilities.
The engine asks how those beliefs affect a specific exposure — your book, your organisation, your counterparties.
The result is carried through to consequence — what to monitor, document, escalate or revisit, and on what horizon.
A single scenario followed through the full loop: the signals that move its probability, the resulting belief graph, the exposure on a crude position, and the analytical implications. Each step from event to portfolio is set out explicitly rather than assumed.
Compare engine probabilities against market pricing and see where an independent view diverges from the consensus — with the reasoning behind each estimate open to inspection.
Track scenario shifts, assess exposure across a portfolio, and document the assumptions behind allocation and risk decisions.
Map geopolitical and macro-financial risk onto the business or mandate — including the second-order effects most analyses stop short of.
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