The company says one thing. The record says another.

SOMEN Research reads pre-IPO technology companies - and the frontier supply chains behind them - the way an engineer reads a design review: claim by claim, against the primary record.

The format is the discrepancy hunt. A company claims a valuation, a backlog, a customer count. The filings, the patent record, the labor certifications, the archived versions of its own website often say something else. Each teardown starts at that gap and works out what it means while it still matters: before the S-1.

The universe is the pre-IPO market and the frontier supply chains behind it: AI silicon and memory, compute clouds, energy and power, defense, space and robotics, across Western and Chinese stacks. Written for people who allocate to, supply, or compete with these companies.

New here? The Start Here page picks the threads.

The Method

Research runs on a knowledge graph built for this desk: hundreds of companies and tens of thousands of sourced relationships (growing daily) spanning funding, patents, hiring, supply contracts, dependencies, and secondary-market pricing. Every relationship carries its source, its evidence date, and a confidence score. A number without a source does not print.

Three rules govern every piece:

  1. Every number resolves to a link a reader can open.

  2. Every core claim ships with a falsifier and a resolve-by date.

  3. Every resolution lands on the public scorecard: confirmed, refuted, or partial, in plain view.

The Cross-Company Maps

The teardowns read one company at a time. The graph also looks at the big picture: whole supply chains, mapped end to end. Every dependency is a sourced edge. Which clouds rent which chips, which labs rent from which clouds, which fabs fabricate which silicon, which tools those fabs cannot run without, and which one or two companies make those tools. The Two Stacks map traced both AI compute chains, Western and Chinese, from the financing through the power to the lasers, and found the same shape in each: the chain narrows as it deepens - 23 direct NVIDIA dependents, 13 on TSMC, then one lithography vendor and two sole-source German suppliers. Memory After the Sold-Out Years ran the same process on three memory makers and an export wall. The maps carry the capital layer too: who finances the buildout, and which guarantees circle back to whose revenue.

Because every edge carries its evidence date, the maps reconstruct as of any past date, and every count can be re-derived rather than remembered. A map here is not a graphic; it is a record.

The Starting Record

Nscale: $103 Billion Claimed, $21 Million Filed. The backlog shown to IPO investors, against the audited revenue actually filed in the Norwegian register.

Etched: The 2.9 Percent Round. Ownership arithmetic on a $10.3B private mark. Thirteen hours after publication, the company announced a $700M Series D at $21B.

Anthropic’s $543 Billion Compute Ledger. The take-or-pay rungs added up, counterparty by counterparty, against the clock of an IPO.

Memory After the Sold-Out Years. Three memory makers, three post-2027 paths, and the export wall a stockpile cannot cross.

The Bigger Stencil: ASML’s 12-Inch Photomask Plan. The newest, narrowest chokepoint: one scanner maker, one actinic inspector, one dominant blank maker - and a format change that re-tools the entire mask layer on a 2031/2033 clock.

Not Publicly Computable. The robotics market’s marks - Unitree’s IPO, Figure’s round, AgiBot’s ask - and what each number actually measures. Usually: the instrument, not the company.

Two Stacks: The AI Compute Supply Chain Map. Both Western and Chinese stacks in one graph. It narrows as it deepens.

Who Writes This

A pseudonymous desk, signed The SOMEN Desk. Two decades engineering systems alongside the people building these companies. The byline is a desk rather than a person for a simple reason: the work stands on its sources, not on a resume, and the companies covered here are private, closely held, and sensitive about being read closely.

What You Get

Two to three pieces a week. The Fork - twice most weeks - takes one number fork, one napkin, one falsifier. The Ledger, most months, runs the deeper reconciliations. The Teardown, about six a year, is the full record walk, every number linked to a filing, an archive, or a dataset. Between pieces, short Notes with the napkin math: a round’s new-money stake, a claim’s two-source fork, a filing that contradicts a press release. The arithmetic cannot lobby you.

Our Ask

Everything is free while the desk builds its public track record. Subscribe and the next piece lands in your inbox. A founding tier opens later; founding readers go first, at the lowest price it will ever be.

The scorecard is public and stays public. Nothing here is a prediction, a price target, or investment advice. It is a structural read of the public record: what the companies say, what the record shows, and what would prove the desk wrong.

Every number traces to a source. The analysis is ours.

- The SOMEN Desk

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Independent research on pre-IPO technology companies and the frontier supply chains behind them - AI silicon and memory, compute clouds, energy and power, defense, space and robotics, across Western and Chinese stacks.

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