A company just tied its executive bonuses to an FDA decision three weeks out. Another had its at-the-market facility amended to zero yesterday. A third is 47 days into a compliance plan it cannot cure with debt. The Origination Engine reads all 676 issuers in the band every night, ranks who needs capital and why, and puts a one-page dossier on each name in your inbox before the market opens.
Public SEC filings only. No data subscription, no expert networks, no MNPI.
The Problem
You already know what a financeable situation looks like, so the criteria exist. Life Sciences, Technology and Natural Resources between $20M and $500M is a universe in the low thousands. Reading one company's 10-Q properly takes half an hour, and there are four a year each. That is not a problem you solve by hiring one more analyst, and low turnover means you cannot make it up by trading more.
The Four-Pillar Engine
Each stage is independently checkable, and the output of each one is visible in the brief you receive.
Stop screening on ratios that every other terminal can also sort. The engine watches what issuers actually file, every night, and surfaces the events that mean a company has to raise: a listing deficiency it cannot cure with debt, a going-concern disclosure, a shelf that structurally cannot carry the raise, a convertible coming due.
Every name arrives with its arithmetic shown. Six weighted components out of 100, each one printed with the evidence that earned it, so you can disagree with a specific line rather than with a black box. A name surfaces only at 45 or above.
A micro-cap raise is priced against retail appetite. Whether the holder base already expects dilution changes the terms an issuer can get, and a coordinated promotion running on a name that is about to raise is a red flag rather than a green one. Every surfaced issuer gets one pass over public discussion, reported with the posts it came from.
Uncalibrated This pillar is new and is not part of the backtest. Every figure on the evidence page comes from the deterministic layer alone.
A ranked list on its own is a screen, and you can already build a screen. What makes this useful is that each name arrives with the work already done: cash and runway, trailing burn, remaining shelf capacity, the converts and their terms, prior financings and the placement agents who ran them, and the specific filing event that surfaced it today.
The Difference: Filings vs. Screens
Returns every name that shares an attribute. Cannot tell you a compensation committee just tied a bonus to a decision date, or that an at-the-market facility was amended to zero yesterday. Those live in prose, in one filing, on one day.
Arrives with the specific event that surfaced it, the arithmetic that makes it urgent, and a link to the document. The engine reads the same filings you would. It just reads all of them, every night.
The system ranks and explains. A person decides. Nothing in this engine takes a position, contacts an issuer, sizes a trade, or recommends an action.
Compliance is a feature here, not an apology.
Every input is a public SEC filing, a public exchange disclosure, or a public post. Nothing in this stack touches material non-public information, expert networks, or company-identifiable alternative data. No credit card panels, no geolocation, no scraping of private systems, and no paid data feed of any kind. No information-barrier question to answer, and nothing that changes what you can do with a name after the engine surfaces it.
vs. Other Tools
Terminals price for institutions and assume you already know which name you are looking at. Databases record what already happened. Screeners filter attributes. None of them read tonight's filings and tell you which issuer has to raise within weeks.
| Capability | The Origination Engine | Terminals Bloomberg, CapIQ |
PIPE Databases PlacementTracker |
Screeners Finviz, Koyfin |
SEC Resellers sec-api, Calcbench |
|---|---|---|---|---|---|
| Nightly filing-event triggers, ranked | ✓ | ✗ | ✗ | ✗ | Raw feed |
| Baby shelf capacity math, S-3 I.B.6 | ✓ | Manual | ✗ | ✗ | ✗ |
| Runway from XBRL, staleness flagged | ✓ | Manual | ✗ | Partial | Raw feed |
| One-page dossier, every number linked | ✓ | ✗ | ✗ | ✗ | ✗ |
| Contacts verbatim from filings, never inferred | ✓ | Directory | ✗ | ✗ | ✗ |
| Market chatter read on each name | ✓ | Separate product | ✗ | ✗ | ✗ |
| Published rubric you own outright | ✓ | Black box | n/a | You build it | n/a |
| Lead-time backtest you can check yourself | ✓ | ✗ | ✗ | ✗ | ✗ |
| Priced for a family office | ✓ | Per seat | Subscription | ✓ | Metered |
The bottom line: terminals cost six figures and assume the name is already in front of you. Databases tell you what closed last quarter. Screeners sell you attributes. The Origination Engine is built for the allocator who has to find the situation first, and who wants to check every number against the filing before making the call.
Start With the Measurement
I have not seen your names yet, and anyone who quotes you a number before seeing them is selling. What I will commit to is the measurement: a rubric written from thirty to fifty names you have actually financed, an honest retrospective, and lead-time numbers you can check against filings yourself. If the retrospective is weak, you will hear it from me first.
Or call (775) 252-8333, any hour. You will reach Ariel's AI twin, who can answer questions and set up the trial on the call.
Tell me what you finance and I will send a sample brief plus what a calibration against your own names would involve. How you participate changes what gets built, so the instrument question is the one that matters most.