Financial data is abundant. Financial understanding is not. The data itself is the problem — inconsistent, unstructured, unverifiable. FinVue fixes the data first, then delivers the intelligence on top.
Disclosures, macro series, sector data, alternative signals — every source arrives in a different shape, on a different clock, with different definitions. Nothing reconciles to anything else. Hours of prep every cycle, before the real analysis can begin.
Filings, transcripts, macro releases, sector series, alternative feeds. PDFs, tables, APIs, footnotes. No two speak the same language.
A combined ratio of 87.8% means nothing without knowing what drove it, how it compares, and what's one-time vs. recurring.
Long documents, ambiguous tables, and missing context cause hallucinations. Agents need structured, attributed inputs to reason accurately.
Tying a disclosure to a macro print to a sector trend is hand work — hours per cycle that don't require an analyst's expertise.
FinVue absorbs the mechanical 80% of the analyst workflow. What's left is the 20% that requires conviction and experience. That's yours.
Ask in plain English. FinVue reasons over structured disclosure, then shows you the exact source page beside the answer — no hunting, no trusting a black box.
Operating cash flow fell to $72.8M from $114.4M, which looks jarring against otherwise strong results but is almost entirely a fair-value accounting artefact. Cash generation from insurance and reinsurance contracts was actually strongly positive at +$476.1M, reversing the prior year's small outflow.
Four capabilities on one structured foundation — each grounded in the company's own disclosure, each fully traceable.
Identifies and ranks the most material movements across a company's reported context — previous vs. current values, deltas, driver breakdowns, management commentary, risks, and outlook. All structured, all cited.
Disclosure → DecisionAsk any question about a covered company in plain English. FinVue reasons over structured metrics, drivers, and full disclosure context. Every answer is precise, source-backed, and fully traceable.
Question → AnswerGo beyond raw data feeds. Context-aware metrics across multiple periods, grouped by category, with consistent definitions across companies. Material changes flagged automatically, drivers one hover away.
Data → PatternThemed watch cards built from the latest disclosures. Each carries the context, the management commitment or risk factor at stake, and a specific signal to monitor next quarter. Arrive prepared, not reactive.
Signal → PreparedBuy-side or sell-side, FinVue compresses first-pass prep so you spend time on judgment, not reconciliation. Know what changed, why, and what to watch next.
Agents can't reason reliably over raw sources. FinVue converts disclosures, macro series, and alternative data into one structured layer with drivers, context, and provenance baked in — so your agents produce analyst-quality output.
Bloomberg gives you the number. FactSet organises the numbers. AlphaSense helps you search documents. FinVue converts every financial source — disclosures, macro, sector, alternative — into structured intelligence with context, drivers, provenance, and meaning baked in, so analysts and AI can reason over financial facts, not just retrieve them.
Built for retrieval. You search for pages, extract numbers, reconcile manually. The analyst does the reasoning.
Built for reasoning. Financial facts are structured, attributed, and ready for AI to operate on — before any query is made.
Every workflow we build deepens the knowledge layer. Every addition to the layer enables better workflows.
We're onboarding a small group of analysts and investment teams. Book a 30-minute demo — early access, no commitment required.