Meshy / Meshy AI, Inc.

August 2021. Yuanming "Ethan" Hu defends his MIT EECS / CSAIL PhD thesis under the joint supervision of Frédo Durand and Bill Freeman — two of the most influential names in computer graphics. The thesis is titled The Taichi High-Performance and Differentiable Programming Language for Sparse and Quantized Visual Computing.

The thesis itself does well. SIGGRAPH 2022 awards it an honorable mention for outstanding doctoral dissertation. But the artifact that matters more than the document is the artifact that came with it: the open-source Taichi programming language that, by 2021, already had 25K+ GitHub stars and 300-plus institutional adopters in physical simulation and graphics research.

What Taichi actually is

Taichi is a differentiable, high-performance GPU programming language for sparse and quantized visual computing. In plain English: it is the layer that sits between Python-level scientific code and the GPU's native execution, and it lets researchers write physics simulations, fluid dynamics, sparse-grid neural fields, and (eventually) 3D generative models with a fraction of the engineering effort that a CUDA-only stack would require.

By the time a 3D-gen company called Meshy would exist — 18 months later — the substrate was already deep enough that every technically credentialed evaluator in the 3D / graphics community had a default-positive prior on the founder.

Substrate (d), graphics flavor

The GTM crossref classifies founder-reputation-as-substrate as A1 form (d). Linear's Karri Saarinen had ex-Coinbase + Sense design credentials. Anthropic's founders had OpenAI scaling credentials. Hugging Face had academic-NLP-community credentials.

Taichi is a fourth shape: academic-graphics-infrastructure substrate. It is closer to Hugging Face's pattern (community-gravitational open-source credentials) than to Linear's (commercial-product reputation). The differentiator is that Taichi is technically adjacent to the productized product. Differentiable simulation maps onto the diffusion-model-on-3D-meshes problem in a way that very few founder substrates map onto their downstream products.

A wrapper-layer founder claiming to do 3D-AI well in 2023 would have to manufacture credibility. A Taichi-author founder claiming to do 3D-AI well in 2023 has the credibility built into the substrate. Buyers don't need to evaluate the founder; the GitHub history already has.

What this buys, what it doesn't

The substrate buys three things:

• Permission to exist in a contested category. 3D-gen as a category had Tripo, Luma, Rodin, CSM, and academic Stable3D forks competing inside the same six-month window. Substrate determines which of those projects gets institutional attention first.
• Recruiting funnel. Taichi-Lang community contributors and Tsinghua / MIT-graphics adjacent researchers are a natural hiring pool. Several of Meshy's research / engineering hires come from Hu's pre-Meshy Taichi network.
• Long-form interview leverage. When Hu eventually does podcasts (XR AI Spotlight, WhynotTV), the conversation can stay technical without losing the audience. The 18-month cold-start window for founder-as-IP doesn't apply when the substrate already exists.

The substrate does not buy:

• Press attention. No TechCrunch wrote about Taichi-the-company. No Bloomberg covered Meshy's Series A. The substrate is community-gravitational, not media-gravitational.
• Consumer brand. Outside the gamedev / graphics / simulation niche, Taichi is unknown. Meshy's brand work in 3D-printing or e-commerce communities had to be built from scratch.
• Capital efficiency at scale. Substrate gets the first checks. The path from $15M ARR to $40M ARR still required PRNewswire wire releases and 36Kr coverage.

Sources

• Yuanming Hu personal site
• MIT thesis (DSpace)
• Taichi Lang on GitHub
• Yuanming Hu Google Scholar

The Crunchbase record says Meshy was founded in 2021. The founder's own X post on August 22, 2024 says: "We started working on Meshy 16 months ago." That puts the operational founding around April 2023.

Both statements are correct. They describe different things.

The two-layer founding

The 2021 entity is the legal predecessor — Taichi.graphics, the company Hu spun out of his MIT PhD work to commercialize the open-source Taichi language. Through 2022, Taichi.graphics raised seed capital and shipped graphics-tooling products that did not become productized 3D-gen.

The April 2023 founding is the operational pivot. Late 2022 was the inflection: DreamFusion (Sep 2022), Magic3D (Nov 2022), and Stable Diffusion (Aug 2022) made text-to-3D commercially viable for the first time. Hu watched the academic breakthroughs land, then turned the company hard into a productized text-to-3D pipeline by Q2 2023.

This is closer to Notion's "six years of wandering before product-market fit" pattern than to Cursor's clean fork. The legal entity persisted; the operational identity transformed.

Why the pivot didn't need a launch

A first-time founder pivoting between products needs a launch — a press release, an investor update, a positioning narrative — because the new product has to manufacture credibility from scratch.

Hu had Taichi. The substrate was deep enough that the pivot was self-evident to anyone watching: a graphics-PhD founder with a 27K-star differentiable GPU language was the most natural candidate to build a productized 3D generative pipeline. The pivot didn't need to be argued; it was inferred.

The implication is structural. Meshy did not need to fund a launch budget for the company itself. The launch budget is concentrated on each Meshy version release (Meshy 1, 2, 2.5, 3, 4, 5 Preview, 6 Preview), where the marginal release does the work that a typical founding launch would do.

Most case studies start with a 'founding moment' — a viral video, a Y Combinator demo day, a Product Hunt #1. Meshy's founding moment is a thank-you tweet 16 months after the fact. The asymmetry tells you the substrate is doing the load-bearing work.

What the operational pivot enabled

Three things became possible only after the April 2023 reset:

• Meshy 1 in October 2023. Six months from operational pivot to first full text-to-3D product. The compressed timeline was only feasible because the underlying Taichi infrastructure already existed.
• Series A (March 2024) without a public wire. The company did not need a TechCrunch announcement to raise. Sequoia + GGV + investors in the substrate Taichi.graphics chapter had multi-year prior context.
• Version cadence as GTM. Meshy 1 → 4 in 16 months sets up the version-cadence-as-format pattern that becomes the actual GTM. Each release is a press event, with the company itself remaining quiet.

What the dual-layer record costs

The cost is primary-source thinness. Without a canonical founding press release, every secondary aggregator (Crunchbase, Tracxn, parsers.vc) defaults to the 2021 legal-entity date, which misframes the story. Researchers writing about Meshy in 2026 have to dig through founder X posts to recover the operational timeline. This is exactly the kind of informational arbitrage a quiet GTM trades for.

It also costs a clean origin narrative. Meshy cannot tell a "founders quit jobs to start company in a garage" story; the company was always there, slowly transforming. For a category that rewards clean founder narratives (most consumer AI), this would be a problem. For graphics-PhD-substrate-coded GTM, it is irrelevant.

Sources

• Yuanming Hu X post: "We started working on Meshy 16 months ago"
• Crunchbase Meshy (legal entity record)
• Meshy blog (Texturer + Meshy 1 launch posts)
• DreamFusion paper (Sep 2022)

March 2024. Meshy closes a Series A. Aggregator data — Tracxn, parsers.vc, Crunchbase — converges on a band: roughly $10–15M raised at roughly $50–100M post-money. Sequoia and GGV are listed among investors. The total raised through 2026 reaches at least $52M per parsers.vc (lower bound — some sources cite higher figures, suggesting an unannounced Series B).

No canonical primary-source wire confirms any of this. No TechCrunch exclusive. No Bloomberg leak. No CNBC funding piece. The Sequoia portfolio page does not list Meshy. Forbes' AI 50 list does not include it.

What is and isn't unusual

What is unusual is not the absence of any one of these signals. It is the absence of all of them simultaneously, sustained over multiple rounds. By March 2024, Meshy had already shipped Meshy 1 (Oct 2023) and Meshy 2/2.5 (Jan 2024). The Series A could have been bundled with Meshy 3 (Apr 2024) for a clean C1 milestone-bundle move. It was not.

The "quiet C, loud product" hybrid

The GTM crossref tracks two clean default-alive postures: bootstrapped-as-positioning (Lemlist, Linear-adjacent) and capital-raised-but-disciplined (PostHog). Meshy is neither.

It is a third hybrid: capital-raised, capital-deployed, but PR-silent. The press wires Meshy chooses to use are product-update wires (PRNewswire releases for Meshy 5 Preview, Meshy 6 Preview, GDC Meshy Labs, Formlabs partnership) and ARR disclosures (the November 2025 $15M ARR wire, the GDC 2026 $30M ARR wire). Funding rounds are conspicuously not on the wire menu.

The cost of this posture is real:

• Aggregator misrepresentation. Tracxn and parsers.vc carry the round; Sequoia portfolio pages do not. Researchers (this case study included) cannot fully confirm the investor list from primary sources.
• Recruiting friction. Senior engineers checking a company's funding history rely on TechCrunch / Crunchbase. The absence of canonical press makes Meshy harder to evaluate from outside.
• Acquisition optionality at lower premiums. Companies with thin press records sometimes get acquired at smaller multiples than their fundamentals warrant — buyers exploit the asymmetry.

The benefit is also real. No TechCrunch piece means no TechCrunch follow-up piece when growth slows or a competitor launches. The narrative surface area is narrow on purpose.

What it implies about the cap table

Several inferences are directionally safe:

• Meshy did not need a press cycle to raise. Substrate-credible founder + early product traction + warm investor relationships from the Taichi.graphics era likely produced a quiet round inside Sequoia and GGV's networks.
• The investors did not need the press cycle either. Sequoia and GGV often get press for portfolio additions because the portfolio company wants the press. If Meshy didn't ask for it, neither investor pushed it.
• There is probably a Series B that has not been announced. The $52M aggregator total raised, combined with disclosed ARR trajectory ($15M → $30M → $40M in five months), implies capital deployment that a $10–15M Series A alone does not fund.

Why this matters for the broader playbook

If you are building in a niche AI category in 2026 and are inclined to skip the TechCrunch funding cycle, Meshy is the existence proof that it can work — with conditions. The conditions are non-trivial:

• A founder substrate deep enough that Sequoia / GGV-tier investors will write checks without needing co-marketing
• A product cadence that produces enough press-worthy moments (version releases) that the funding announcement is not the company's only press hook
• An ARR trajectory aggressive enough that wire releases focused on revenue (rather than capital) carry equivalent narrative weight

Without all three, "quiet C, loud product" produces a company nobody hears about. With all three, it produces Meshy.

Sources

• Crunchbase Meshy
• Tracxn Meshy
• parsers.vc Meshy
• 80.lv: Meshy: Empowering 3D Content Generation

July 28, 2025. Meshy 5 Preview goes live. The PRNewswire release headlines three improvements: enhanced AI 3D generation tools, an animation library with 500+ character animations, and disclosed user metrics — 3 million users, 30 million 3D assets generated.

The geometry quality and image-to-3D alignment improvements are the version-N+1 expected work. The animation library is the structural change.

What changed in the workflow

Before Meshy 5, the typical user flow looked like this:

1. Generate static 3D mesh in Meshy (text or image prompt)
2. Export to Blender / Maya
3. Manually rig the character (assign bones, weights)
4. Find or commission animations
5. Apply animations to the rig
6. Export to Unity / Unreal / Roblox

Steps 3–5 took hours per character and required a separate skill set (rigging, animation). For an indie gamedev or a designer prototyping a level, this was the workflow's longest single bottleneck.

After Meshy 5 Preview:

1. Generate character mesh
2. Apply animation from library (500+ pre-rigged options)
3. Export to engine

The animation library is the boundary push that expands the buyer. A static-mesh generator competes with Blender. A rigged-and-animated character pipeline competes with Mixamo, Reallusion, and bespoke artist commissions.

The user metrics disclosure

The 3M-users / 30M-assets figures matter independent of the animation feature. They establish the trajectory that the November 2025 $15M ARR disclosure will land into.

By GDC 2026 (eight months later), the numbers would more than triple: 10M users, 100M assets. The Jul 2025 disclosure is the midpoint datapoint that makes the trajectory credible.

The disclosure pattern itself is worth noting. Meshy puts user metrics on a press wire alongside a product launch — not alongside a funding round. This is the inversion of the standard SaaS playbook (where you save user metrics for funding announcements). For Meshy, every product release is a milestone-bundle event; funding is the orphan.

Why Discord did the unpaid distribution

The 48 hours after Meshy 5 Preview launched was the most active stretch on the Meshy Discord since Meshy 4. Users posted rigged-and-animated character demos faster than the company could engage with them.

The mechanic compounds three things at once:

• Demo-as-share-unit. A 30-second clip of a generated character running, jumping, or attacking is autoplay-native on every social platform. The product output is itself the share unit.
• Workflow-validation. The animation library is the kind of feature that creators want to see working before they trust it. User-posted demos do that validation work for free.
• Comparative content. Discord users immediately ran Meshy 5 against Tripo's animation pipeline (where it existed) and Mixamo for retargeting quality. The comparisons skewed favorable to Meshy. The community-comparison-as-distribution flywheel got a fresh feed.

What the boundary push set up

The audience-boundary-push from gamedev to manufacturing — which would land formally with the Formlabs partnership in April 2026 — relies on the rigged-character workflow being mature. A 3D-printer doesn't care about animation, but a character-toy / collectible / industrial-design buyer does care that the same tool can produce both static prints and animated game characters.

Meshy 5 Preview is the foundation that makes Meshy 6 Preview's organic-character lift (Oct 2025) commercially relevant, which makes the GDC 2026 Meshy Labs full-game-pipeline reveal credible, which makes the Formlabs cross-vertical positioning believable. Each release builds the structural permission for the next.

Sources

• PRNewswire: Meshy 5 Preview launch
• Meshy blog
• 80.lv: Meshy AI feature coverage

November 13, 2025. PRNewswire goes out:

• $15M ARR (self-reported)
• 30 percent month-over-month growth (self-reported)
• Top 2 percent fastest-growing AI startup in Silicon Valley
• 85 percent gross margin (self-reported)
• ~60 percent Western 3D-gen market share (self-reported)
• Bundled with Meshy 6 Preview launch

Six headline numbers, one wire, no funding round. The atypicality is the absence of a funding announcement. Most companies disclosing $15M ARR alongside top-2-percent-growth metrics use the moment to announce a round. Meshy did not.

What 30 percent MoM compound implies

Thirty percent month-over-month growth, sustained, is one of the rarer metrics in SaaS. From $15M ARR in November, 30 percent MoM compound puts the trajectory at:

The actual trajectory landed below the 30 percent MoM extrapolation but above linear growth: $15M → $30M in four months ($30M GDC disclosure on Mar 10, 2026) is roughly 19 percent MoM, then $30M → $40M in one month is roughly 33 percent. The November-disclosed 30 percent MoM was directional, not sustained at exactly that rate, but the company was within striking distance.

85 percent gross margin in a model-inference business

85 percent gross margin in a SaaS business is normal. 85 percent gross margin in a model-inference-heavy 3D-generation business is striking.

Each Meshy generation costs GPU minutes. Image-to-3D and animation-rigging operations are GPU-bound. A Bay Area-only competitor running the same product on AWS / GCP H100 capacity would be margin-pressured at $20–60/month price points.

The most plausible explanation is the bicultural-team-as-cost-arbitrage angle: engineering distributed across SF and East Asia is consistent with substantially lower compensation cost than Bay Area-only competitors, and likely lower inference cost via offshore GPU capacity. 85 percent margin in this category, sustained, is the empirical signature of that operational structure.

The disclosure is self-reported and unaudited. Treat 85 percent as a directional upper bound.

The 60 percent Western market share number

The 36Kr April 2026 report later cites the same number: roughly 60 percent of the Western 3D-gen market. Both citations trace to Meshy's own self-disclosure. SimilarWeb-derived monthly visits of 5M+ support the directional claim that Meshy is dominant in English-language search and Western gamedev workflows. Tripo dominates Chinese-language workflows.

The structural pattern is that there is no Adobe or OpenAI in 3D yet. The market is bifurcated by language and ecosystem (West vs China), and the West-side leader is the one with the strongest model + tightest workflow. Meshy is winning that bracket because its Unity / Unreal / Roblox / Blender bridge plugins are first-party and free, not third-party hacks.

Why November 2025 and not earlier

The disclosure timing is not random. Three things had just happened:

• Meshy 5 Preview (Jul 2025) disclosed 3M users / 30M assets — a public datapoint that the bigger ARR number could land into.
• Meshy 6 Preview (Oct 2025) shipped with major mesh-quality and organic-character improvements.
• Q4 2025 funding-cycle peer landscape was thick with AI startup ARR announcements, creating press-cycle competition.

Meshy bundled the ARR + margin + market-share disclosures with the Meshy 6 Preview launch to front-load all six headline numbers into a single wire rather than splintering them across multiple. The press-budget logic is the same as Manus's bundled-milestone moves — but expressed without a funding round attached.

What this disclosure was not

It was not a Series B announcement. It was not a customer-marquee announcement. It was not bundled with a major partnership (Formlabs would come five months later). It was not a Sacra deep-dive (no equivalent exists for Meshy as of Q2 2026).

The absence of these adjacent moves is structural. Meshy's PR strategy is product-update wires + ARR self-disclosures. Funding rounds are off-wire. Customer logos are off-wire. The communication channel is engineered to minimize narrative surface area.

Sources

• PRNewswire: Meshy hits $15M ARR with 30% MoM growth + Meshy 6 Preview
• Fabbaloo: Meshy 6 Preview coverage
• Meshy blog

March 10, 2026. The Game Developers Conference. Meshy unveils:

• Meshy Labs — an experimental incubator developing AI-native games on top of the Meshy asset pipeline
• Black Box: Infinite Arsenal — the first title from Meshy Labs, demonstrated live at GDC
• $30M ARR — doubled in three months from the November 2025 $15M disclosure
• 10M+ users — more than tripled from the 3M users disclosed in July 2025
• 100M+ cumulative assets generated — more than tripled from 30M

Five weeks later (April 14, 2026), the Formlabs partnership debuts at RAPID + TCT 2026. The same SKU now serves a 3D-printing buyer category. The TAM expands without the product expanding.

Why Meshy Labs is the structural shift

A 3D-asset-generation tool has a ceiling. Even at 60 percent Western market share, the unit economics cap out at the price of an asset-generation seat ($20–90/month per user) times the number of seats a category can support.

A platform that ships full AI-native games on its own pipeline has a different ceiling. Meshy Labs is the move that gives Meshy a path beyond per-seat pricing into per-game / per-revenue-share economics.

The competitive geometry changes upward. In November 2025, Meshy was selling against other 3D-gen tools. By March 2026, it's selling into a category where it can credibly call itself the AI-native equivalent of Unity — with the asset-generation tool as the entry point, and the Labs games as the demonstration of what the platform can produce.

The five-week Formlabs sequence

The April 14 Formlabs partnership announcement is structurally connected to GDC. The bridge between the two:

• GDC (Mar 10): "Meshy can produce playable AI-native games" — gamedev audience, gamedev press
• RAPID + TCT (Apr 14): "Meshy can produce 3D-printable manufacturing prototypes" — manufacturing audience, 3D-printing trade press

Same SKU, two completely different buyer narratives in 35 days. The audience-boundary-push (gamedev → manufacturing) is the cleanest D2 move in the case-study series alongside Notion's writers-to-engineers expansion.

The 36Kr feature in April 2026 reports the $40M ARR figure that captures the full impact of both moves combined. The trajectory is $15M (Nov) → $30M (Mar GDC) → $40M (Apr 36Kr) — six months, 2.7x growth, no funding round disclosed during the window.

What Black Box: Infinite Arsenal proves

The single AI-native game demo at GDC is doing more work than its production value suggests.

It proves that:

• The asset pipeline is mature enough for full-game use. A game using Meshy assets exclusively can ship as a playable demo. Edge-case failures (broken geometry, animation pop, export errors) are no longer dealbreakers.
• The incubator model is operational. Meshy Labs is not vaporware; it has produced a playable title. Future games signal continued platform commitment.
• First-party content shifts the competitive frame. When Roblox or Unity argue against Meshy, the comeback is "we ship games on our own pipeline." Tripo and Luma do not.

The risk is the inverse: if Meshy Labs games consistently underperform commercially, the incubator becomes a brand liability rather than an asset. Most company-built first-party content in adjacent categories (Roblox-built games, Unity-built demos) plays the demonstration role rather than the commercial role. Meshy Labs likely lives in the same category for now.

Why GDC was the right venue

The choice of GDC over a generic AI conference (NeurIPS, ICML) or a generic developer conference (KubeCon, AWS re:Invent) is itself the move.

• The audience is the highest-LTV concentration of Meshy's buyer. Gamedev studios make decisions about asset pipelines at GDC. The conversion path from keynote to studio licensing deal is shortest there.
• The press concentration is right-sized. GDC is covered by gamedev press (PocketGamer.biz, Game Developer, GamesIndustry.biz) without being competing for the same press attention as a major AI launch. Meshy gets dedicated coverage rather than fighting for share.
• The format rewards live product demonstrations. A platform launch is more credible at a conference where booth demos work than at a keynote venue where slide decks dominate.

Sources

• PRNewswire: Meshy unveils Meshy Labs at GDC 2026 + $30M ARR
• Morningstar: Meshy Formlabs partnership / RAPID + TCT 2026
• 36Kr: Silicon Valley unicorn with $40M ARR (RMB 300M) in 3D generative AI
• Aitoolsbee summary of 36Kr

March 10, 2026. The Game Developers Conference. Meshy unveils:

• Meshy Labs — an experimental incubator developing AI-native games on top of the Meshy asset pipeline
• Black Box: Infinite Arsenal — the first title from Meshy Labs, demonstrated live at GDC
• $30M ARR — doubled in three months from the November 2025 $15M disclosure
• 10M+ users — more than tripled from the 3M users disclosed in July 2025
• 100M+ cumulative assets generated — more than tripled from 30M

Five weeks later (April 14, 2026), the Formlabs partnership debuts at RAPID + TCT 2026. The same SKU now serves a 3D-printing buyer category. The TAM expands without the product expanding.

Why Meshy Labs is the structural shift

A 3D-asset-generation tool has a ceiling. Even at 60 percent Western market share, the unit economics cap out at the price of an asset-generation seat ($20–90/month per user) times the number of seats a category can support.

A platform that ships full AI-native games on its own pipeline has a different ceiling. Meshy Labs is the move that gives Meshy a path beyond per-seat pricing into per-game / per-revenue-share economics.

The competitive geometry changes upward. In November 2025, Meshy was selling against other 3D-gen tools. By March 2026, it's selling into a category where it can credibly call itself the AI-native equivalent of Unity — with the asset-generation tool as the entry point, and the Labs games as the demonstration of what the platform can produce.

The five-week Formlabs sequence

The April 14 Formlabs partnership announcement is structurally connected to GDC. The bridge between the two:

• GDC (Mar 10): "Meshy can produce playable AI-native games" — gamedev audience, gamedev press
• RAPID + TCT (Apr 14): "Meshy can produce 3D-printable manufacturing prototypes" — manufacturing audience, 3D-printing trade press

Same SKU, two completely different buyer narratives in 35 days. The audience-boundary-push (gamedev → manufacturing) is the cleanest D2 move in the case-study series alongside Notion's writers-to-engineers expansion.

The 36Kr feature in April 2026 reports the $40M ARR figure that captures the full impact of both moves combined. The trajectory is $15M (Nov) → $30M (Mar GDC) → $40M (Apr 36Kr) — six months, 2.7x growth, no funding round disclosed during the window.

What Black Box: Infinite Arsenal proves

The single AI-native game demo at GDC is doing more work than its production value suggests.

It proves that:

• The asset pipeline is mature enough for full-game use. A game using Meshy assets exclusively can ship as a playable demo. Edge-case failures (broken geometry, animation pop, export errors) are no longer dealbreakers.
• The incubator model is operational. Meshy Labs is not vaporware; it has produced a playable title. Future games signal continued platform commitment.
• First-party content shifts the competitive frame. When Roblox or Unity argue against Meshy, the comeback is "we ship games on our own pipeline." Tripo and Luma do not.

The risk is the inverse: if Meshy Labs games consistently underperform commercially, the incubator becomes a brand liability rather than an asset. Most company-built first-party content in adjacent categories (Roblox-built games, Unity-built demos) plays the demonstration role rather than the commercial role. Meshy Labs likely lives in the same category for now.

Why GDC was the right venue

The choice of GDC over a generic AI conference (NeurIPS, ICML) or a generic developer conference (KubeCon, AWS re:Invent) is itself the move.

• The audience is the highest-LTV concentration of Meshy's buyer. Gamedev studios make decisions about asset pipelines at GDC. The conversion path from keynote to studio licensing deal is shortest there.
• The press concentration is right-sized. GDC is covered by gamedev press (PocketGamer.biz, Game Developer, GamesIndustry.biz) without being competing for the same press attention as a major AI launch. Meshy gets dedicated coverage rather than fighting for share.
• The format rewards live product demonstrations. A platform launch is more credible at a conference where booth demos work than at a keynote venue where slide decks dominate.

Sources

• PRNewswire: Meshy unveils Meshy Labs at GDC 2026 + $30M ARR
• Morningstar: Meshy Formlabs partnership / RAPID + TCT 2026
• 36Kr: Silicon Valley unicorn with $40M ARR (RMB 300M) in 3D generative AI
• Aitoolsbee summary of 36Kr