Company Intelligence
Filings, point-in-time fundamentals, peer comparison, forensic signals, ownership and, where the evidence supports it, moat and management research.
Investment research that keeps the evidence, the assumptions and the outcomes connected. Filings, fundamentals, intrinsic value, peers, forensic signals, ownership, IPOs and your portfolio in one evidence-preserving environment for Indian and U.S. listed equities. A company the platform cannot value is reported as unvaluable rather than given a number.
Filings in one tab, a spreadsheet model in another, a screener, a valuation calculator, research notes and an IPO tracker. Each holds part of the picture; none of them knows what the others said.
Six months later, the number survives but the reasons do not. Which filing was it based on, what growth rate was assumed, what was supposed to happen by now? Most research cannot answer that about itself.
Without a dated record of what was believed and why, there is no way to tell judgement from luck, and no way to notice early that a thesis has stopped being true.
Point-in-time statements, business-model classification, ownership and forensic checks, from the filings themselves.
Bear, base and bull intrinsic value from a model chosen for that kind of business, plus the growth the current price already implies.
Sector-normalised against real peers, with the per-factor reasoning attached rather than a black-box score.
Valuation, confidence, thesis, risks and dated checkpoints, written down at the time and kept as written.
New filings, valuation moves and rule-based alerts against the positions and watchlists you hold.
When a checkpoint falls due, the result is recorded against what was expected, not rewritten into it. In development.
Filings, point-in-time fundamentals, peer comparison, forensic signals, ownership and, where the evidence supports it, moat and management research.
Nine valuation families routed per business, bear / base / bull ranges, reverse DCF and two separate confidence scores, with a gate that can block rather than warn.
India and U.S. IPOs from SEC registration statements and NSE issue data: valuation versus peers, red flags, institutional demand and separate listing and long-term signals. Insufficient evidence means no verdict.
Open the IPO dashboard →Positions and transactions read through the same valuation and evidence lens: where each holding sits against its value range, and how confident that range is.
Watchlists, a change log of what moved and why, and alert rules on margin of safety and valuation status, delivered with de-duplication.
In development: theses recorded forward-dated and graded against their own checkpoints, from the day each was written. No back-filled history.
Financial statements are stored point-in-time, as they were known when filed, with no look-ahead into restated figures. A revenue line carries its source document, the period it covers, the date it was filed and a hash of the file it was read from. Valuation arithmetic is deterministic code; AI assistance, where enabled, helps read and summarise documents but never supplies a number.
In development. Each thesis will be written down once, timestamped by the server, and chained by hash to the record before it. Corrections become new records that point at the old one; nothing is overwritten and nothing can be dated into the past. Outcomes are attached later, when each checkpoint falls due.
There is no track record to show yet, and none will be reconstructed: the record starts the day the product opens.
Each holding shown against its bear, base and bull value and the confidence behind it, not just its price.
New filings, restatements, valuation status changes and ownership moves, each linked to the evidence that caused it.
The dates your own theses said something should have happened, surfaced before they pass quietly.
Value a business before you buy it, write down why, and find out later whether you were right for the right reasons.
Every figure traceable to its filing, every thesis dated, so the work stands up when a client asks how you got there.
Screen, value and monitor from the same sourced data, instead of reconciling spreadsheets that each tell a slightly different story.
The product is being finished and opens to early-access members first. Leave your details and you’ll hear when it does. No spam, one list, unsubscribe any time.
Your details are stored to notify you about early access, nothing else: no third-party ad platforms, no resale.
No. It's research and decision support whose rankings are explainable and whose failures are visible. It does not pick stocks, recommend buying or selling, or promise returns.
Not yet, and none will be reconstructed from hindsight. Theses are recorded forward-dated from the day the product opens and graded only against their own checkpoints.
No public date yet. Applying for early access is the way to hear first: this page will not silently start claiming things are live before they are.
The full listed equity universe on NSE, NSE SME and BSE in India, and the full EDGAR-registered universe in the U.S., not a curated shortlist.
They're stored to notify you about early access, nothing else, no third-party ad platforms, no resale.
Brandsap. The codebase stays private while the product is being finished. IPO Intelligence, previously run as IPOIntel, is now one of its modules.
Find what a company is worth, understand the risks, and see what changed.