Scenario X

Scenario X develops an integrated scenario-based modelling and risk management platform aimed at financial institutions that need to run regulatory stress tests and finance and risk models. The product is organised around four headline module families: SCENARIO, which designs, expands and rolls forward adverse scenarios from historical data, market conditions and predictive analytics; PPNR, which synthesises asset, liability, equity, income, operating expense and tax data into forward-looking pre-provision net revenue projections; RISK, which covers market, counterparty, credit and operational risk analytics; and CONSOLE, which aggregates balance sheet and P&L, liquidity, capital and management-action data into a single dashboard.

The company states the platform is supported by more than 15 interconnected core modules spanning real-time economic impact analysis through to regulatory compliance checks, with changes in one area (for example market risk) propagating automatically to related areas such as credit risk or liquidity forecasts. Additional described capabilities include workflow automation from data ingestion to risk assessment, cloud-based real-time data processing, asset and liability modelling, risk analytics and simulation, capital optimisation, and visualisation and dashboard tooling. Data inputs referenced include scenario stress data, client loan data, indicator data and collateral data. The company also publishes downloadable macroeconomic and market research notes on topics such as US federal debt trajectories, US oil independence, tariff policy, Saudi Vision 2030 and gold as a safe-haven asset, using its own scenario simulations.

Business model

Scenario X sells access to a modular, cloud-based analytics platform to financial institutions, with a stated pricing approach positioned to reduce client operational costs by up to 50%. Engagement begins through booked demos and calls, and the company also offers a waiting list for its forthcoming quantum computing capabilities.

Traction

The company claims efficiency gains of 60% and cost reductions of more than 50% for banks and financial institutions using its platform. It maintains a published library of research articles and reports and operates a waiting list for its quantum computing offering.

Latest developments

Published research output includes an analysis of US federal debt exceeding $37 trillion with interest costs above $1 trillion per year, simulating four potential debt trajectories and projecting debt above $43 trillion by June 2026 under Covid- and GFC-style shock scenarios versus roughly $39 trillion under a moderate Fed easing path. Other recent notes cover US oil independence, including a forecast that Brent crude prices could fall 28% by 2028 under proposed US energy policies, protectionist tariff policy, Saudi Vision 2030, and gold's performance amid market volatility.