PRE-IPO WEEKLY- d-MATRIX -The Next 10 X NVDA Challenger

G.L.A INVEST Gauntlet: d‑Matrix Scorecard

Applying the G.L.A. GAUNTLET Proprietary Scoring System (focused on best risk‑reward investments over 5–10 years), d‑Matrix presents a compelling but early‑stage profile.

Rule 1 – Scale And Predictability

Companies should be large and developed enough (over 2 billion market cap and 100‑million‑plus revenue, with some exceptions) to model with high confidence.

• d‑Matrix’s latest valuation is around 2 billion dollars after its Series

• Public revenue figures are not disclosed, but given funding stage and headcount (250+ employees), it is likely below the 3‑billion‑market‑cap, mature‑revenue threshold.d-matrix+1

Score: Partial / Emerging. The company is meaningfully funded and in production, but still below the “large, predictable” threshold the Gauntlet prefers.

Rule 2 – Visionary Founder And Culture

Companies must be led by visionary founders who can recruit top mission‑driven talent and build unique innovative cultures.

• d‑Matrix was founded by Sid Sheth and has built a highly specialized team in Santa Clara around inference‑first architectures and full‑stack systems.

Score: Pass. Founder‑led, deeply technical, and operating in a frontier domain.

Rule 3 – “Must‑Have” Products And Services

Investments should deliver must‑have products, not nice‑to‑have features.

• For hyperscalers, AI labs, and cloud providers facing GPU shortages and spiraling inference costs, a chip that provides up to 10x faster token generation, 3x lower cost, and 3–5x better energy efficiency is close to a necessity.

Score: Pass. For high‑end AI inference customers, Corsair is positioned as a must‑have accelerator rather than a discretionary add‑on.

Rule 4 – Early Hypergrowth With Fortress Balance Sheet

Companies should be at the beginning of hyper sales and revenue growth with strong funding and balance sheets.

• d‑Matrix is at the commercialization phase, with Corsair in mass production and commitments from major hyperscalers and AI labs.

• It has raised 450 million dollars and is valued at 2 billion, indicating substantial capital support for scaling.

Score: Strong Pass (on funding and growth stage). Revenue trajectory is not public, but the company is clearly entering its growth phase with significant capital behind it.

Rule 5 – Huge TAM And Customer Base

Companies must have large total addressable markets and many potential customers.

• The TAM for AI inference in data centers is massive, growing with every new GPT‑scale model and deployment of chatbots, image/video generators, and agents.morningstar+1

• Customers include hyperscalers, “neo‑clouds,” leading AI labs, and potentially Chinese cloud providers under export‑compliant configurations.

Score: Pass. d‑Matrix is attacking a large and expanding market.

Rule 6 – Impenetrable Competitive Moats

Companies must build strong moats to keep competition at bay.

• d‑Matrix’s core moat is a differentiated SRAM‑based architecture, integrated software stack, and early relationships with high‑end customers.

• However, it competes with both established giants (Nvidia) and other memory‑first inference players like Cerebras and Groq.

Score: Partial. The technology is differentiated, but competition is intense and from powerful incumbents.

Rule 7 – Attractive Risk vs Reward

Companies must offer risk profiles the fund is comfortable with and strong upside.

• As a 2‑billion‑dollar private, d‑Matrix has clear upside if it successfully scales and perhaps follows Cerebras in tapping public markets or strategic deals.

• Risk remains high: early‑stage private semiconductor, execution dependency, and heavy competition for mindshare and design‑wins.

Score: High‑Beta Opportunity. Risk is elevated but upside is significant if the thesis plays out.

Rule 8 – Solving Major Societal Problems

Companies must address large, important problems.

• d‑Matrix addresses the growing energy, latency, and cost burden of AI inference—making large‑scale AI deployments more sustainable and accessible.

Score: Pass. The company attacks a key bottleneck in global AI adoption.

Rule 9 – Misunderstood By Wall Street

Companies and technologies that Wall Street does not yet understand are preferred.

• As a private company, d‑Matrix is not yet publicly traded and remains under the radar of mainstream investors, even as Nvidia’s own moves validate its architecture category.

Score: Pass. Early, less‑discussed story compared with headline names.

Rule 10 – Proven Investors Behind Them

Companies should be backed by well‑known, high‑quality investors.

• d‑Matrix counts Microsoft’s M12, Temasek, Qatar Investment Authority, EDBI, Bullhound Capital, Triatomic Capital, Nautilus Venture Partners, Industry Ventures, and Mirae Asset among its investors.

Score: Strong Pass. Deep, diversified institutional backing.

Overall Gauntlet Assessment

Across the G.L.A INVEST Gauntlet:

• d‑Matrix scores strongly on founder quality, product “must‑have” status for AI inference leaders, TAM size, strategic backing, and its role in solving core AI infrastructure problems.

• It scores partially on scale and moat, given its 2‑billion‑dollar valuation and intense competition from Nvidia, Cerebras, and Groq‑powered platforms.

From a 5–10 year perspective, d‑Matrix looks like a high‑conviction, high‑volatility candidate rather than a mature compounder: the upside could be substantial if it secures a strong position in the global inference stack or achieves a Cerebras‑style IPO, but the path will depend heavily on execution, customer adoption, and the way Nvidia and other giants respond.

COACH KYLE’S 2 CENTS– IMHO d-MATRIX is a perfect buyout target from any inference starved hyperscaler or big tech juggxrnaught like $AMZN, $NVDA, $GOOG, $SPCX, $TSLA, the company is still very cheap compared to CEREBRAS or GROQ which would make a buyout very easy. If you missed your opportunity to invest in CEREBRAS when we first brought it to you, the market gods are giving you another shot with d-MATRIX, if you are an “accredited investor” and have interest email or call me.

Until next time, PEACE, LOVE and Happy 4th of July / 250th Bornday of the almighty United States Of America!