For Grace Blackwell, we are about $25 billion per gigawatt. For Vera Rubin, it is about $40 billion per gigawatt
A structured, source-attributed record of every valuable statement on an earnings call: what was claimed, by whom, on what date, with the figure the speaker actually gave — tagged to the technology it concerns, linked to the statements that corroborate or contradict it, and traceable to the exact characters of the exact paragraph it came from.
Semiconductors, AI hardware and the supply chain around them. Sold as a managed platform for funds, a quarterly report, and a weekly letter — all from one pipeline, run on hardware we own.
For Grace Blackwell, we are about $25 billion per gigawatt. For Vera Rubin, it is about $40 billion per gigawatt
Between 26 August and 2 September 2026, three managements priced the same quantity — what a gigawatt of AI compute is worth — from three sides of the trade. Nobody searched for this. The link graph connected the rows.
For Grace Blackwell, we are about $25 billion per gigawatt. For Vera Rubin, it is about $40 billion per gigawatt
what we are seeing per gigawatt is in the range of less than $30 billion, $20 billion-$30 billion per gigawatt. And we expect that to be very sustaining in that level
Recent three-year contracts are pricing in excess of $20 million per megawatt of IT load, paying back the compute investment in around 2 years.
Every quotation is checked as a literal substring of the source document before it can reach a view. A row that fails is marked, never silently corrected, and never served as evidence.
Corroboration looks back, never forward. A statement is linked only to what was already on the record when it was made — which is what makes a backtest honest and a screen usable in real time.
The pipeline runs unattended, continuously, on hardware we own. Every stage leaves a number behind, and the numbers are the specification.
Transcripts and a news feed, kept in a form where every later step can point back to the paragraph.
Every specific, differentiated datapoint — the figure a CFO gives once and never files.
The quote is matched character-for-character against the source. Not a paraphrase.
Scored against an analyst's definition of what improves a bottom-up model; three bands.
Tied to the same company's earlier statements and to other issuers' calls — corroborate, contradict, narrow.
The one-line headline is re-read against its own passage. Unsupported rows are excluded, reason shown.
Each client's own material sits in an isolated workspace, enforced in code, alongside the shared public corpus. Extraction is measured against human judgement, not asserted: a companion narrative-inflection classifier runs at 94.3% statement-level precision against analyst verdicts.
Funds with semiconductor and AI-hardware exposure; corporate strategy and IR teams inside the covered supply chain; individual analysts. Choose by how close to the rows you need to be.
Your own workspace on the record: the public corpus plus your holdings' material, the viewer, dashboards and the analyst assistant — the pipeline run for you.
The company-quarters where operational-inflection language spiked while reported growth stayed unremarkable — with every source sentence and its date.
One company, one earnings call, one mechanism. What management said that changes a bottom-up model, with every figure linked to its paragraph.
Twenty minutes, one of your names, no slides. Clicking a quote and landing on the paragraph it came from is the whole pitch.
Unicorn Factory Lisboa, Beato Innovation District · 17–18 September.
MEO Arena & FIL, Parque das Nações · 9–12 November.
Everything on this site is research, not advice. It records what company management said, on what date, with the figures they gave. It is not a recommendation to buy, sell or hold any security; no output is a price target or a rating, and no position in any company named here is held by QNTUM AI. Every figure attributed to a company is a verbatim quotation from a public earnings call or filing and carries a link to the passage it came from. QNTUM AI, Unipessoal Lda. is not authorised or regulated by the CMVM or any other financial-services regulator, does not manage assets, and does not execute.