Board-ready competitive benchmarking
fully automated
Replace 200+ hours of quarterly analyst work with a single platform that extracts, normalizes, and compares financial and ESG KPIs from competitor reports — automatically.
Built for corporate strategy teams at listed companies
| KPI | Your Value | Peer Avg | Rank | Signal |
|---|---|---|---|---|
| Revenue | 4.2B | 3.8B | 2/6 | ▲ Adv |
| EBITDA Margin | 24.3% | 21.1% | 1/6 | ▲ Adv |
| Net Income | 890M | 1.1B | 4/6 | ▼ Risk |
| ROIC | 12.1% | 10.8% | 2/6 | ▲ Adv |
| Net Debt/EBITDA | 2.4x | 2.1x | 4/6 | ▼ Risk |
| CO₂ Intensity | 0.58 | 0.65 | 2/6 | ▲ Adv |
Hours saved per year
Of manual collection eliminated
Target extraction accuracy
Competitors supported
Competitive benchmarking is broken
Every quarter, strategy teams download PDFs from IR pages, collect market data from multiple sources, pull ESG from yet another, and spend weeks manually normalizing everything.
3-5 weeks per cycle
Strategy teams spend weeks every quarter collecting, normalizing, and reconciling competitor data from published reports across multiple departments.
Definitional chaos
One competitor reports "Recurring EBIT", another calls it "RCO", a third uses "Adjusted EBITDA" — every company uses different KPI definitions, currencies, and accounting standards.
Asynchronous publications
Competitors publish at different times in different formats across SIX, NYSE, XETRA, and Euronext. By the time your team compiles the data, it's already stale.
From publication to benchmark document — fully automated
Valrano monitors your competitors across every exchange, automatically extracts KPIs from published reports, normalizes across currencies and accounting standards, and delivers AI-generated benchmark documents — so your board gets answers, not raw data.
Three steps to automated intelligence
Monitor
Automatic detection when any competitor publishes a new report across SIX, NYSE, XETRA, Euronext, and more.
Extract & Normalize
Vision-LLMs extract 50+ KPIs. Multi-currency normalization, taxonomy mapping, and confidence scoring.
Deliver
Board-ready benchmark documents with competitor comparisons, trend analysis, and competitive signals — ready for your team to review, approve, and share.
Built for corporate strategy teams
Every feature designed for CFOs, strategy heads, controllers, and IR officers — not investors screening stocks.
Vision-LLM extraction
AI reads published PDF reports — annual, quarterly, sustainability — and extracts 50+ financial and ESG KPIs with 98% target accuracy. Every value links back to its source page.
KPI taxonomy mapping
Automatically maps company-specific definitions to a canonical taxonomy. Compare apples to apples across IFRS, US GAAP, and Swiss GAAP FER.
Multi-currency normalization
Point-in-time and period-average FX conversion across CHF, EUR, USD, GBP, and 10+ currencies.
Automated benchmark documents
When a competitor publishes, Valrano detects it, extracts KPIs, normalizes currencies, and drafts a benchmark document — your team just reviews and approves.
Full audit trail
Every extracted value carries a confidence score and links to the exact PDF page and paragraph. Your team can verify any number in one click.
Continuous monitoring
No more quarterly scrambles. Valrano monitors your competitors across all exchanges and delivers alerts the moment a new report drops.
Tailored to your organization
Every deployment is configured for your competitor group, KPI taxonomy, and reporting cadence. We work with your team to ensure Valrano fits seamlessly into your existing workflows.
Frequently asked questions
Valrano uses a multi-layer accuracy architecture: vision-LLM extraction with structured schemas, confidence scoring (values below 0.85 are flagged for human review), and cross-validation against known financial relationships. Every extracted value links to its source PDF page for one-click verification. The result is more auditable than any manual process — every number traces back to its source document.
Bloomberg and FactSet provide raw financial data for investors. They do not extract KPIs from newly published PDF reports, normalize company-specific definitions (Recurring EBIT vs. RCO vs. Adjusted EBITDA), or deliver AI-generated benchmark documents automatically, replacing the manual effort of collecting, normalizing, and comparing competitor data. Valrano replaces the 200+ hours/year your team spends turning raw data into competitor comparisons. It is a complement, not a replacement.
Valrano processes exclusively publicly available documents — annual reports, quarterly filings, and sustainability reports that companies publish on their IR websites. No customer internal data is ever uploaded or processed. Your competitor group configuration is confidential. Data is hosted in EU data centers with encryption at rest and in transit.
IFRS, US GAAP, and Swiss GAAP FER for accounting standards. For currencies, we support CHF, EUR, USD, GBP, INR, MXN, AUD, HKD, and more — using both point-in-time and period-average FX rates for accurate normalization.
A typical onboarding takes 2 weeks: we configure your competitor group, run historical extraction on past reports, validate accuracy with your team, and train users. You receive your first benchmark document within 2 weeks of go-live.
Stop building competitor comparisons manually
Your team spends weeks building competitor comparisons that are outdated before the board meeting. Valrano builds them automatically and continuously — your analysts review insights instead of collecting data.