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FOR INSTITUTIONS

The inputs behind other firms' research.

We do not publish your view. We build the layer underneath it — documents turned into structured data, sector intelligence assembled from primary filings, and forensic and quantitative models built to your brief. Your analyst writes the note. Your name goes on it.

Research firms PMS & AIF managers Family offices Consultancies Financial media Corporate strategy teams
Start a conversation → See a live terminal
Capabilities

Six lines. One engine.

Everything below runs on the same extraction and modelling stack that produces the public terminals on this site. What you see live is the proof — not a mock-up of it.

01
🔎
Company Diligence — Listed & Unlisted

Five to ten years of a company's own filings, normalised. Group map, related-party trail, accounting-quality flags, every claim linked to its source document.

  • Promoter group mapped across connected entities
  • Related-party trails tested for operational basis
  • Solvency and earnings-quality read
  • Counterparty, target or portfolio company
  • Citation trail so you can check rather than trust
02
📄
Document Extraction & Structured Data

Annual reports, DRHPs, concall transcripts, offer documents and filings turned into clean, typed, queryable records — delivered to your schema.

  • 500+ page documents handled routinely
  • Tolerant parsing that survives malformed output
  • Self-consistency validation on every field
  • Delivered as JSON, CSV or direct to Postgres
  • Your document set, or ours
03
🏭
Sector & Industry Intelligence

Industry structure, capacity, pricing, margin architecture and entry economics — assembled from primary filings rather than recycled from secondary sources.

  • Source register supplied with every pack
  • Entry-economics and unit-cost models
  • Peer sets built from filings, not screeners
  • Defence, aerospace, semis, EPC, solar and more
  • Refreshed on a cycle you set
04
🚀
IPO Analysis — Mainboard & SME

Prospectus forensics at scale. Claim extraction, related-party and promoter-conduct checks, OFS context, lock-in mapping and DRHP-to-RHP delta.

  • Mainboard and SME frameworks, separately tuned
  • Red-flag forensics on SME filings
  • Transparent, component-level scoring
  • Post-listing promise tracking
  • Turnaround measured in hours, not weeks
05
🧪
Financial & Forensic Models

Three-statement, valuation, debt and project finance, transaction models and the forensic battery — built to your brief and wired to your data rather than ours.

  • Three-statement, DCF, comparables, LBO
  • Debt sculpting, covenants, cash waterfall
  • Altman, Beneish, Montier C-Score, earnings-quality ladder
  • Lender frameworks: NIM, asset quality, P/B on ROA
  • Live working file, documented. You own it outright
06
🗄️
Structured Data Feeds

Ongoing delivery of extracted, normalised financial and disclosure data across a coverage universe you define.

  • Standalone and consolidated, kept separate
  • Period labels normalised and audited
  • Corporate actions and split-adjusted history
  • Disclosure and BRSR fields, timestamped
  • Scheduled refresh, versioned
Retainer
DELIVERY MODE

Everything above under your brand.

Most firms that need this capability do not want to build a data desk to get it. Private label means the extraction, the sector work and the models arrive in your template, in your format, with no attribution back to us.

You keep the client relationship, the editorial voice and the responsibility for the view. We stay invisible, and we do not compete with you for your clients.

  • Your template, your typography, your export format
  • No FinMinutes attribution anywhere in the deliverable
  • Non-compete on your named accounts
  • Fixed-scope projects or monthly retainer
  • Direct line to the person doing the work
Throughput

The number you are actually trying to estimate.

If you have a backlog, the only question that matters is how fast it clears. These are measured figures from production work, not capacity estimates.

⏱️

10+ documents per session

Ten or more filings of 500+ pages each, extracted end to end in a single four-to-five hour working session.

📚

2,400 pages in one pass

A single InvIT offer document of 2,400 pages taken through full extraction without splitting the run.

🗂️

33 vendor sectors mapped

Seventy-plus prospectuses extracted through the engine across thirty-three sectors and roughly twelve families.

📖

250+ prospectuses read

Several hundred offer documents read by hand before any of this was automated. The frameworks come from that, not from a template.

🔁

Live, not archived

The terminals on this site are produced by the same pipeline and updated continuously. The proof is the running system.

🧯

Built for bad documents

Tolerant parsing designed against eighteen classes of malformed output, because real filings break naive pipelines.

Tell us what your desk is missing.

Engagements are scoped individually. Send the shape of the problem — the documents, the universe, the format you need it in — and you will get a direct answer on whether we are the right fit and what it would take.

Email finminutes1@gmail.com →

FinMinutes supplies data, extraction, industry analysis and quantitative models. These are inputs and tools. We do not issue recommendations on individual securities, and nothing delivered under these services constitutes investment advice to any person.

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