Sabiá Alpha turns filings, statements, and deal documents into structured data your analysts can verify line by line — built for institutions that need their data to stay under their control.
Built for financial institutions and their analyst, research, and risk teams across Brazil.
There is real opportunity in Brazil. But the information is fragmented, the language is local, the data is scattered, policy moves fast, and credit structures are opaque.
Market, company and policy information lives across dozens of disconnected sources and formats.
Portuguese, local regulation and business context create a real barrier to confident analysis.
Traditional research and diligence cycles are slow, manual and hard to scale.
Counterparty, receivables and structural credit risks stay buried in unstructured documents.
Investment materials arrive raw and inconsistent — far from decision-ready.
You see exactly where every number comes from — and your team stays in control of the analysis.
No model configuration. No black box. Just verified, source-traced data your team can stand behind.
Upload the filings and Sabiá extracts the figures — each linked to its exact place in the source, and amber-flagged for your review whenever confidence falls below 85%.
Illustrative preview with sample data — not a live system.
Pull figures from filings, statements, and deal documents — messy tables, cross-page schedules, and Brazilian formats in Portuguese included — into structured, model-ready data.
Every figure links back to its exact source — file, page, and line — so it can be checked in seconds.
Independent checks flag provenance gaps, out-of-range values, and low-confidence fields. Each flag waits for an analyst's decision — and every decision is logged.
Send verified data straight into your analysts' own models, so they keep their logic and judgment.
We work with institutions that handle confidential financial documents. What you upload stays yours — verifiable, isolated, and deployable inside your own environment.
Every extracted figure links back to its exact source — file, page, and line — so your team can check the data before relying on it.
AI extracts and flags; your analysts verify, edit, and decide. Every judgment call carries its author's name — the judgment stays with your team, and so does the credit.
Run Sabiá in our cloud, in a private cloud instance, or on-premise — so processing can stay inside your environment.
Per-client isolation, encrypted in transit and at rest. Your documents are never used to train models.
Built around Brazil's data-protection requirements, with control over where data is processed and whether it crosses borders.
Every extraction, review, and sign-off is recorded immutably — when anyone asks where a number came from, the answer is one click, not an investigation. The trail documents diligence; it is not surveillance: managers see process metrics, never a monitor over the analyst's shoulder.
What analyst teams spend today re-typing numbers out of Brazilian filings — and what is left after Sabiá runs the extraction.
per M&A deal — from documents to a populated model
per DCM analysis — debenture deed (escritura) included
debenture positions covenant-tested per quarter, without a dedicated analyst
recaptured per analyst per year, at 10 deals a year
Illustrative estimates based on typical manual-extraction workloads and mid-level billing rates (R$ 400–600/h) — measured together with your team during the pilot.
See the pilot program →Sabiá Alpha is a financial-data and decision-support platform. It does not provide individualized investment recommendations, guarantee returns, or replace licensed investment professionals. Final investment decisions remain with the investor and their authorized advisors.
More output shouldn't mean less rigor: sourced figures and human judgment, not speed bought by cutting corners. We're onboarding a small group of pilot institutions in Brazil.