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Risk

The Risk Engine, operational exposure mapping, and continuous monitoring across twelve domains.

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Most companies discover their operational risks at the point those risks become consequences. The Risk practice exists to close that gap — before the cost is incurred.

The Risk Engine scores companies against a matrix of internal and external factors including: key person dependence, customer concentration, compliance, IP quality, capital position, technology stack, AI-defensibility, ESG, supply chain, market dynamic, regulatory exposure, geography and macro, political risk, and the black swan. Each factor is weighted against the company’s stage, sector, and structure.

The output is not a generic risk report. It is a ranked exposure register — the five most likely determining factors in the next twelve months, with severity bands, sector benchmarks, and direct routing to the Valantai practice best positioned to address each one.

Open the Risk instrument →

Three tiers of engagement

The free diagnostic takes thirteen questions and surfaces the top exposures immediately. It is the entry point for most clients and the first proof of what the instrument can do.

The monitored dashboard provides continuous exposure tracking as the company’s profile evolves: new funding, new hires, new markets, new competitive entrants. The picture changes; the instrument updates.

The portfolio layer provides aggregate risk intelligence across VC and PE portfolios — a third-party view of where the exposure sits and how it has moved since the last reporting period.

Investor and portfolio use

Investors use the Risk Engine in three ways. Pre-investment: as a structured due diligence input, surfacing exposures the company may not have disclosed or identified. Post-investment: as a standing monitor, tracking exposure movement across the portfolio. Pre-exit: as an investor-readiness instrument, packaging the risk picture for acquirer diligence.

The Engine produces an Investor Risk Report — a packaged intelligence document for due diligence processes — as an enterprise-tier output.

The calibration

Weights across the twelve domains are calibrated quarterly against the institution’s active mandate register. Every engagement adds to the dataset. The instrument becomes sharper as the institution operates. Sector benchmarking data — accumulated across UK, GCC, and US engagements — is proprietary and cannot be replicated by competitors who do not have the engagement history.

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