current — rebuilt 4m ago
Co-designed chips, racks, and software to push the pareto frontier to best-in-class throughput and interactivity. observed
No person- or entity-level identity check is on record for this company. A name match is not one.
The ranked index lists private AI companies with two or more independent sourced evidence families; its Early-stage view also leaves out rounds of $100M or more that no source assigns a stage. This profile is listed in the ranked index, but not in its Early-stage view: its latest round is $100M or more and no source states its stage. It is a statement about evidence and mandate, and about nothing else.
We have not established fit. That is not a soft no and not a soft yes — it is unknown, and it is never counted as a qualified prospect.
Assessed 2026-11-09 for seed/Series-A sourcing.
Five evidence lanes (activity, capital, infra, hiring, ecosystem) as within-cohort percentiles, combined with evidence-breadth weights over the 60-company baseline cohort. The ± band widens with missing lanes — it measures what the score stands on. 4 signals in the last 60 days back this number.
Counted from the company's own job board — each point a dated observation.
Subdomains appearing in public certificate-transparency logs — infrastructure standing up, dated at detection. Intent labels are deterministic (token map), not guessed.
↗ Strongest signal: funding magnitude (28% of the score).
↓ Scored on 2 of 4 components — adoption, developer had no computable metric.
The skeptic's read what this company has said, judged against what happened
Not evaluated ≠ false — the deadline or the evidence hasn't arrived. A forecast with no target date cannot be graded and is counted as insufficient temporal evidence. Nothing here is editorial: every count is a ledger row you can open on the Proof page.
Cross-source signals that survived the scoring gauntlet or were hand-curated. ✓ verified = bound to an exact transcript passage with a voiceprint-confirmed speaker.
No single number decides. Layers can disagree — that's the point. New to this? →
The platform's own early signals for this company — hard-to-fake observations. Where one was recorded before a raise, the gap is shown; that is an observation, not a prediction.
You have a perfect example with Gavin Uberti from Etched. Gavin met every great investor in Silicon Valley, and everybody walked away from the meeting thinking he was brilliant. I don't think there's a single VC who met Gavin that didn't think he was brilliant. But a lot of people just assumed a startup company cannot outcompete incumbents on like AI chip fabrication. It's just never going to happen. And it wasn't until Sequoia blessed them with a $10 billion valuation that everyone was like, oh
We were able to do it in 40 days. And it's because by the time the chip came back, everything was boring. The software was already written. The rack was already there. The production line was already set up.
every day there's over a billion dollars of revenue in this category and a lot of it's inference. So every day we don't ship, we're just leaving tons of opportunity on the table.
we found three people that we thought could fit the bill. And we talked to all of them, and two of them have just retired, and one of them was planning to do one more generation for NVIDIA and then retire. His name is Brian. And over time, we convinced him to join.
it's really the legends plus some naivete, raw first principles type talent.
You kind of have to be sick in the head to join our company.
he built a contraption in a week that, like, actually de-risked, like, a pretty key power question we had.
Brian started the HGX and DGX team at NVIDIA, which was a majority of NVIDIA's revenue, tens of billions of dollars a quarter.
We have a pretty bimodal talent philosophy. It starts with what we call the legends, which is when we're trying to solve an incredibly hard technical problem and generally do something that hasn't been done before, we need to find the very best person in the world. And often the number one guy in the world versus the number 10 guy versus the number 100 guy, huge difference in whether it's actually possible to solve the problem. We created the system we call project-based recruiting, where we map
We have a factory in Taiwan, we have a few dozen people out there. We built a clone of a bunch of the test stations in our office. We have a two megawatt data center on this floor and we did 24-7 development cycles. People are doing day shifts and night shifts to actually get the hardware up and running as quickly as possible. But it's that extreme vertical integration and extreme parallelization of the schedule that lets you get products to market way faster.
the best vendor is no vendor. As much as possible, we want to vertically integrate the entire product, both because we get more performance, but we can move way faster. So everything from the chips to the boards to the cold plates to the interconnects to even the production, we want to do all of it as in-house as possible. I think we're the only startup right now that's building its own rack as well as its own chips. And we did it all at the same time.
you win by building the best product. And similarly, we think we can do it with a lot fewer folks. That if you're willing to go ahead and just focus on product, product, product and parallelize relentlessly, you don't need 20,000 people like the big companies have. You can do the best product in the world with far fewer people.
we can go ahead and cut this by more than a factor of 5x. And that allows us to then use the memory of other chips much more effectively. As you scale the world size, your time per token goes down proportionally.
What we're able to do is add way, way more bandwidth and a much lower latency from chip to chip to our interconnects. It allows us to be able to go serve models at this much higher speed because you can go use the SRAM and the HBM from the full scale-up cluster as a single pool.
we're now bringing forward our first generation of this low voltage inference technology, which is running at under half the voltage of any other AI chip.
we were able to create a new mechanism of running at much lower voltages, a new type of power delivery that we call low-voltage inference.
we think all AI chips in the future are going to be low-voltage chips.
But you know what I think would be an interesting one is Etched. I think I'm going to go Etched for number four. Well, if you think about it, I mean, Apple right now, they're entirely dependent on NVIDIA chips like everybody else. Imagine owning their own chip company. And Etched is exactly the kind of AI chip that Apple desperately needs. They're not training models. They're running inference constantly, especially now that they own Perplexity, Jason. So I feel like, you know, Siri and Apple in
if i had five if i was an investor i'd put five bucks on etched you know versus a lot of other
if this chip hits the market the way they think it's going to this company is going to print money
he does have like a market fit like here's where i have an opportunity here's what nvidia is not focused on that i can focus on and like here's this narrow segment of the market that's open that i can sort of exploit
we have some very exciting stuff coming out later this year
if you're only able to get a third of the theoretical maximum the amount of math your chip can do you can only serve a third of that number of customers but if you get 90 you can serve three times more customers
it'll be the same way of the number of headline flops that we claim uh you will find you will get more than 90 utilization of those flops because the whole thing is built around getting to that really high utilization number
right now it is clear that ai inference is going to be a massive massive market and there are already a number of chips on the market like nvidia's gpus and google's tpus that do a pretty good job of this and what they have in common is that they're all programmable you can go run code on nvidia gpu or google tpu to run many different kinds of models convolutional networks like resnet transformers of course lstms rnns whatever whack you think comes out of you know neural network factories but th
i think this company's bet on the future is both incredibly interesting incredibly bold and can have big market impact
VentureSignalScore 73.6/100 for etched, composed from 2 of 4 components (hardware formula), discounted ×0.85 for 50% signal coverage
| Component | Weight | Normalized | Contribution |
|---|---|---|---|
| Funding recency | 0.2 | 0.7591 | |
| Funding magnitude | 0.3 | 0.938 |
An evidence gap, not proof of falsity: Form D is not always required (foreign offerings, certain exemptions) or may not be filed yet.
A first sale, a filing, an amendment and a public announcement are not the same event, and one date may not stand in for another. Where the latest financing date cannot be established from what we hold, this says unknown rather than substituting a date we do have.
A reported round dated 2026-08-18 by its own source.
Companies coupled to this one by a shared investor — if a common backer pulls back or a fund hits trouble, the shock propagates across the set. More shared investors = tighter coupling.
Gray-market attention, not quality. 1+ HN mentions (peak 45 points). Claim-shaped headlines are rumors until corroborated — a Tier-3 factual claim carries no evidentiary weight on its own. ▲ 45 Etched Is Making the Biggest Bet in AI 2024-06-25 ↗
Showing the 69 current records. Full observation history — 1,047 superseded records →
| Attribute | Value | Kind | Source | Observed | State | Conf. |
|---|---|---|---|---|---|---|
ai.document.claims | {"claims": [{"claim": "Etched raised $300 million.", "quote": "\"amount_usd\":300000000", "topic": "Funding amount", "section": 0}, {"claim": "The funding was announced on July 23, 2026.", "quote": "\ | observed | artifact ↗ | 2026-07-24 | promoted | 0.50 |
ai.technical.assessment | {"council": {"dissent": true, "members": [{"agent": "technical_specialist", "domain": "technical", "signal": 0.8, "signal_source": "model"}, {"agent": "product_docs_specialist", "domain": "product_doc | derived | council | 2026-07-25 | promoted | 0.27 |
buyer_fit.assessment | {"buyer": "seed/Series-A sourcing", "method": "Backlog pass 2026-10-24: applied the record_buyer_fit.ts fit rule to this company's held primary-source financing evidence (funding.round.* / sec.form_d. | observed | readiness | 2026-11-13 | normalized | 0.90 |
buyer_fit.status | unknown | observed | assessment | 2026-11-09 | normalized | 0.90 |
common_name | Etched | observed | notion | 2026-07-22 | normalized | 0.60 |
common_name | Etched | observed | artifact ↗ | 2026-07-24 | normalized | 0.60 |
community.hn.max_points | 45 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.mentions | 1 | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.rumors | [] | observed | artifact ↗ | 2026-10-08 | normalized | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=40788749", "title": "Etched Is Making the Biggest Bet in AI", "points": 45, "created_at": "2024-06-25"} | observed | artifact ↗ | 2024-06-25 | normalized | 0.20 |
description | Transformer-specific inference silicon; contracted-demand financing signal. | observed | notion | 2026-07-22 | normalized | 0.60 |
description | Transformer-specific inference silicon — vertically co-designed inference machines. | observed | curated | 2026-07-24 | normalized | 0.80 |
description | Co-designed chips, racks, and software to push the pareto frontier to best-in-class throughput and interactivity. | observed | artifact ↗ | 2026-07-24 | normalized | 0.70 |
domain | etched.com | observed | curated | 2026-07-24 | normalized | 0.80 |
domain | etched.com | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
early_signal.assessment | {"rule": "operational-early-signal-v2", "missing": ["a financing round is held — assessed on the funding-verified path (buyer_fit), not as an operational signal"], "signals": [{"value": 114, "family": | observed | assessment | 2026-11-13 | normalized | 0.90 |
early_signal.status | insufficient | observed | assessment | 2026-11-13 | normalized | 0.90 |
funding.round.amount_usd | 700000000 | observed | artifact ↗ | 2026-08-18 | normalized | 0.90 |
funding.round.announced_on | 2026-08-18 | observed | artifact ↗ | 2026-08-18 | normalized | 0.90 |
funding.round.lead_investors | [] | observed | artifact ↗ | 2026-08-18 | normalized | 0.90 |
funding.round.source_url | https://siliconangle.com/2026/08/18/inference-chip-startup-etched-raises-another-700m-at-21b-valuation/ | observed | artifact ↗ | 2026-08-18 | normalized | 0.90 |
gate.accumulation | {"outcome": "document_created", "obs_count": 12, "source_id": "01KYAWZ6DN5E80AP94JG33878A", "trigger_path": "accumulation_gate", "collector_count": 3, "artifact_collector": "funding_intake"} | observed | artifact ↗ | 2026-07-24 | normalized | 0.60 |
hypothesis | {"criterion": {"attribute": "score.venture_signal", "threshold": 77.1, "comparator": "gte"}, "prediction": "we have some very exciting stuff coming out later this year", "expected_by": "2028-02-16T00: | derived | calc | 2026-08-17 | derived | 0.70 |
index.ai_tie | AI_ADJACENT | observed | classify | 2026-07-25 | derived | 0.60 |
jobs.board_url | https://jobs.ashbyhq.com/etched | observed | artifact ↗ | 2026-08-28 | normalized | 0.85 |
jobs.postings.engineering | 73 | observed | artifact ↗ | 2026-11-13 | normalized | 0.85 |
jobs.postings.total | 116 | observed | artifact ↗ | 2026-11-13 | normalized | 0.85 |
metric.venture.funding_amount_usd | 700000000 | derived | calc | 2026-08-28 | derived | 0.90 |
metric.venture.funding_recency_days | 88.1775 | derived | calc | 2026-11-14 | derived | 0.90 |
registry.signals | [{"claim": "Etched: transformer-specific inference silicon, contracted-demand signal, exceptional valuation risk.", "score": 0.385, "theme": null, "labels": ["Funding", "AI Infrastructure", "Risk", "W | observed | artifact ↗ | 2026-08-07 | normalized | 0.60 |
score.venture_signal | 73.6 | derived | calc | 2026-11-13 | derived | 0.60 |
sector | hardware | derived | calc | 2026-11-06 | normalized | 0.75 |
signal.attributed_claims | 10 | observed | intelligence.claims | 2026-09-26 | parsed | 0.90 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "i think this company's bet on the future is both incredibly interesting incredibly bold and can have big market impact | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "right now it is clear that ai inference is going to be a massive massive market and there are already a number of chip | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "it'll be the same way of the number of headline flops that we claim uh you will find you will get more than 90 utiliza | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "if you're only able to get a third of the theoretical maximum the amount of math your chip can do you can only serve a | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "we have some very exciting stuff coming out later this year", "stance": "bullish", "signal_class": "prediction", "spea | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "he does have like a market fit like here's where i have an opportunity here's what nvidia is not focused on that i can | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "if this chip hits the market the way they think it's going to this company is going to print money", "stance": "bullis | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M06HXAZDZ1M3X4EM26V4WZZZ", "signals": [{"quote": "if i had five if i was an investor i'd put five bucks on etched you know versus a lot of other", "stance": "bullish", | observed | artifact ↗ | 2025-03-24 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M3N2QX94JGN8DN6VS10H94R1", "signals": [{"quote": "But you know what I think would be an interesting one is Etched. I think I'm going to go Etched for number four. Well, | observed | artifact ↗ | 2026-09-28 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "we think all AI chips in the future are going to be low-voltage chips.", "stance": "bullish", "confidence": 1, "signal | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "we were able to create a new mechanism of running at much lower voltages, a new type of power delivery that we call lo | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "we're now bringing forward our first generation of this low voltage inference technology, which is running at under ha | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "What we're able to do is add way, way more bandwidth and a much lower latency from chip to chip to our interconnects. | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "we can go ahead and cut this by more than a factor of 5x. And that allows us to then use the memory of other chips muc | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "you win by building the best product. And similarly, we think we can do it with a lot fewer folks. That if you're will | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "the best vendor is no vendor. As much as possible, we want to vertically integrate the entire product, both because we | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "We have a factory in Taiwan, we have a few dozen people out there. We built a clone of a bunch of the test stations in | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "We have a pretty bimodal talent philosophy. It starts with what we call the legends, which is when we're trying to sol | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "Brian started the HGX and DGX team at NVIDIA, which was a majority of NVIDIA's revenue, tens of billions of dollars a | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "he built a contraption in a week that, like, actually de-risked, like, a pretty key power question we had.", "stance": | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "You kind of have to be sick in the head to join our company.", "stance": "neutral", "confidence": 0.6, "signal_class": | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "it's really the legends plus some naivete, raw first principles type talent.", "stance": "bullish", "confidence": 0.5, | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "we found three people that we thought could fit the bill. And we talked to all of them, and two of them have just reti | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "every day there's over a billion dollars of revenue in this category and a lot of it's inference. So every day we don' | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M4FP1C1KCVDFTKN2CXW7GX9K", "signals": [{"quote": "We were able to do it in 40 days. And it's because by the time the chip came back, everything was boring. The software | observed | artifact ↗ | 2026-06-30 | promoted | 0.50 |
signal.commentary | {"context": null, "run_ref": "01M6RHCJRC6710FCN7MGWBH21M", "signals": [{"quote": "You have a perfect example with Gavin Uberti from Etched. Gavin met every great investor in Silicon Valley, and everyb | observed | artifact ↗ | 2026-11-06 | promoted | 0.50 |
source.document.reference | {"kind": "document", "title": "etched — funding_intake snapshot (accumulation gate)", "source_id": "01KYAWZ6DN5E80AP94JG33878A", "extract_ref": "artifact:sha256:6e22dacc279d25d73818afc804febc7d8f71fcb | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
source.document.reference | {"kind": "video", "title": "The end of Venture Capital? (VC Roundtable) | E2285 — etched", "source_id": "01KXRSP6CAPGMEF7KAFHAB78Y3-m-9cb45a27a2808c01", "extract_ref": "artifact:sha256:2b1e9c248b38e03 | observed | artifact ↗ | 2026-08-06 | normalized | 0.95 |
source.document.reference | {"kind": "video", "title": "23andMe BANKRUPT, Saylor Still Buying Bitcoin, + Founder Interviews | E2102 — etched", "source_id": "01KXRSP8WBM7WDX84K295408FB-m-9cb45a27a2808c01", "extract_ref": "artifac | observed | artifact ↗ | 2026-08-07 | normalized | 0.95 |
source.document.reference | {"kind": "video", "title": "AI in Gaming, Nvidia and GPU Clouds, Nuclear Energy Challenges, and Waymo Updates | E2038 — etched", "source_id": "01KXRSP9PMZP5WK9A655VNPVX9-m-9cb45a27a2808c01", "extract_ | observed | artifact ↗ | 2026-08-08 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "pscrb.fm/rss/p/traffic.megaphone.fm/LTANT2688689635.mp3 — etched", "source_id": "01M3N1J28NQHHECXJPWPH8NG5V-m-9cb45a27a2808c01", "extract_ref": "artifact:sha256:e18a0c927 | observed | artifact ↗ | 2026-09-28 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "Etched - Building AI Hardware to Make Inference Faster and Cheaper - [Invest Like the Best, EP.480] — etched", "source_id": "01M4FM7NSYBJJ9PADFBDH5X970-m-9cb45a27a2808c01 | observed | artifact ↗ | 2026-06-30 | normalized | 0.95 |
source.document.reference | {"kind": "podcast", "title": "Ramtin Naimi on the State of Venture Investing - [Invest Like the Best, EP.499] — etched", "source_id": "01M6RFCTVA8TF09NJXSE10BJAB-m-9cb45a27a2808c01", "extract_ref": "a | observed | artifact ↗ | 2026-11-06 | normalized | 0.95 |
website_url | https://etched.com | observed | artifact ↗ | 2026-07-24 | normalized | 0.90 |
website_url | https://etched.com | observed | artifact ↗ | 2026-07-24 | normalized | 0.95 |
website.homepage.has_pricing_link | false | observed | artifact ↗ | 2026-07-24 | normalized | 0.80 |