The platform
Zorev connects company documents, structured evidence, explicit assumptions, scenarios, risks and continuous monitoring within a single investment thesis.
Illustrative company · illustrative data
| Indicator | FY22 | FY23 | FY24 | Observation |
|---|---|---|---|---|
| Revenue growth | 6.1% | 9.6% | 11.4% | Accelerating |
| Operating margin | 16.4% | 16.6% | 14.2% | Compressing |
| FCF conversion | 74% | 71% | 63% | Weakening |
| ROIC | 14.1% | 13.6% | 12.8% | Declining |
| Net debt / EBITDA | 1.4x | 1.6x | 1.9x | Rising |
Base-case value per share
51
Range 42 – 61
Assumed margin recovery
+120 bps
Editable assumption
Implied exit multiple
11.4x
EV / EBIT
Scenario sensitivity
Evidence linked to this assumption
Illustrative data
The platform surfaces questions, evidence and alternative interpretations. The analyst determines their significance.
The analytical workflow
Each stage contributes to the same company analysis rather than operating as an isolated tool.
01
Zorev brings together company filings, financial statements, earnings materials, presentations and other approved research inputs, then structures the relevant evidence around the analytical question.
02
The platform identifies business-model economics, segment performance, industry-specific KPIs, competitive positioning, capital allocation and principal value drivers.
03
Users create explicit claims and assumptions instead of receiving an opaque AI-generated opinion.
04
Zorev looks for evidence that conflicts with the initial interpretation and highlights the questions that remain unresolved.
05
Base, upside and downside scenarios are linked to operational and financial drivers. Zorev does not predict future market prices.
06
New company information is compared with the existing thesis and assumptions rather than merely added to a news feed.
07
Material findings remain connected to their original sources, and users can review how a conclusion was formed.
The counter-thesis surfaces contradictions and questions that merit review. It does not claim to detect every contradiction or risk within an analysis.
Analytical trail
The platform preserves the connections between evidence and judgement rather than reducing the analysis to an unexplained score.
Transparency
Zorev handles the searching, structuring and monitoring. The analyst owns the judgement.
Connect material observations to their supporting evidence.
Review and edit the assumptions that drive financial and valuation scenarios.
See how inputs are transformed into financial indicators and valuation ranges.
Accept, modify or reject assisted interpretations. The final judgement remains with the user.
Deployment
Organisations can discuss their confidentiality, access, hosting and deployment requirements during a product demonstration.
A demonstration walks through documents, evidence, financial analysis, valuation scenarios and thesis monitoring.
Request a demonstration