US firm opens 289,000-square-foot campus to expand metal 3D printing production ⁠40%

By Neetika Walter⁠62%

7/21/2026, 11:46:12 PM

BS Summary: This article contains 19 faulty reasoning types, including Appeal to Emotion, In-Group Bias, and Optimism Bias, with Attempt to Sell a Product or Service as the most egregious example at 27% saturation with 162 hits. Analysis detected 738 faulty-reasoning hits from 601 analyzed words, generating a BS Score of 45.5% and a BS Rank of ⁠40% (12,329 of 20,515 articles). This article is better (less manipulative) than 60.10% of the article peer group.

Velo3D has opened a nearly 289,000-square-foot metal 3D printing campus in Livermore, California, giving the company room to scale production of large-format additive manufacturing systems and mission-critical metal parts. 
Called Forge 1, the facility is designed to help manufacturers move from qualifying new components to producing them at industrial scale. 
The campus will serve industries including aerospace, defense, energy and other strategic sectors where domestic manufacturing capacity and reliable supply chains are increasingly important. 
The facility includes about 270,000 square feet of production space and can support more than 40 large-format metal additive manufacturing systems. 
Velo3D plans to expand the site beyond 100 systems over time. 
When combined with the company’s Fremont headquarters, the expansion could give Velo3D capacity for up to 125 systems across its two California campuses. 
The company says this would create one of North America’s largest integrated metal additive manufacturing environments. 
3D printing goes industrial 
Forge 1 is designed to handle several stages of the manufacturing process under one roof. 
These include machine assembly, large-scale metal printing, post-processing, inspection, quality assurance and customer acceptance. 
The setup is intended to shorten the time needed to move a component from development into repeatable production. 
It also allows customers to use the same manufacturing ecosystem as they scale their programs, rather than shifting between different facilities or suppliers. 
Velo3D’s Fremont headquarters will continue to focus on research and development, applications engineering, process development, customer collaboration and qualification. 
Forge 1 will add the production capacity needed once those technologies and applications are ready to scale. 
“Forge 1 is much more than a new production facility,” said Arun Jeldi, Chief Executive Officer of Velo3D. 
“It represents our commitment to helping customers and our nation build a stronger, more resilient manufacturing foundation. 
Our customers need more than innovative technology. 
They need a trusted American partner capable of taking critical programs from qualification to production while strengthening supply chains and supporting national security. 
Forge 1 is how we deliver on that commitment.” 
The company is positioning the campus as part of a broader push to strengthen domestic production of critical components . 
For aerospace and defense programs in particular, the ability to manufacture complex metal parts closer to home could reduce dependence on overseas supply chains. 
America builds manufacturing capacity 
Velo3D says Forge 1 will also support its position as a U.S.-based manufacturer of large-format laser powder bed fusion systems. 
The company’s hardware and software are developed in the United States, while its systems are deployed across the U.S., allied nations and other trusted international markets. 
The new facility is expected to begin operations in phases as manufacturing systems are installed and qualified. 
Its capacity will increase over time as customer demand grows. 
The timing comes as governments and manufacturers place greater emphasis on resilient supply chains and domestic production capabilities. 
Large-format metal additive manufacturing can be particularly useful for producing complex components that may be difficult or expensive to manufacture using traditional methods. 
The Livermore campus is therefore not simply a larger factory for Velo3D. 
It is intended to connect machine production with the printing and qualification of parts, giving customers a path to scale additive manufacturing for high-value applications. 
“Livermore is proud to welcome Velo3D and celebrate the opening of Forge 1,” said Livermore Mayor John Marchand. 
“This new production campus reflects the kind of bold investment that continues to shape Livermore as a destination for advanced industry. 
We are excited to partner with Velo3D as they strengthen American manufacturing and build the next generation of technologies right here in Livermore.” 
Article reasoning-pattern comparisonThis article: 7.2%Neetika Walter: 4.0%Interesting Engineering: 3.9%Confirmation Bias7.2%This article: 3.8%Neetika Walter: 0.9%Interesting Engineering: 1.2%Anchoring Bias3.8%This article: 7.8%Neetika Walter: 1.8%Interesting Engineering: 2.5%Availability Heuristic7.8%This article: 4.3%Neetika Walter: 1.1%Interesting Engineering: 1.2%Representativeness Heuristic4.3%This article: 0.0%Neetika Walter: 0.2%Interesting Engineering: 0.3%Hindsight Bias0.0%This article: 2.8%Neetika Walter: 5.3%Interesting Engineering: 5.4%Overconfidence Bias2.8%This article: 0.0%Neetika Walter: 6.9%Interesting Engineering: 6.4%Framing Effect0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.2%Loss Aversion0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.6%Status Quo Bias0.0%This article: 0.0%Neetika Walter: 0.2%Interesting Engineering: 0.4%Sunk Cost Effect0.0%This article: 10.8%Neetika Walter: 19.0%Interesting Engineering: 16.6%Optimism Bias10.8%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.5%Pessimism Bias0.0%This article: 0.0%Neetika Walter: 0.2%Interesting Engineering: 1.0%Negativity Bias0.0%This article: 2.8%Neetika Walter: 6.8%Interesting Engineering: 4.7%Self-Serving Bias2.8%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.1%Fundamental Attribution Error0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 11.6%Neetika Walter: 2.5%Interesting Engineering: 1.0%In-Group Bias11.6%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.1%Out-Group Homogeneity Bias0.0%This article: 2.7%Neetika Walter: 4.7%Interesting Engineering: 5.0%Halo Effect2.7%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Neetika Walter: 0.5%Interesting Engineering: 1.0%Recency Bias0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.2%Primacy Effect0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 0.0%Neetika Walter: 6.1%Interesting Engineering: 9.0%Appeal to Authority0.0%This article: 3.2%Neetika Walter: 1.2%Interesting Engineering: 1.5%False Dilemma3.2%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.3%Slippery Slope0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.1%Circular Reasoning0.0%This article: 3.8%Neetika Walter: 4.0%Interesting Engineering: 5.1%Hasty Generalization3.8%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.2%Red Herring0.0%This article: 0.0%Neetika Walter: 0.5%Interesting Engineering: 0.8%Bandwagon0.0%This article: 14.0%Neetika Walter: 2.8%Interesting Engineering: 2.4%Appeal to Emotion14.0%This article: 1.5%Neetika Walter: 1.0%Interesting Engineering: 1.3%Begging the Question1.5%This article: 7.0%Neetika Walter: 1.6%Interesting Engineering: 2.2%Post Hoc (False Cause)7.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.6%Burden of Proof0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.2%Appeal to Nature0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.3%Composition/Division0.0%This article: 0.0%Neetika Walter: 0.4%Interesting Engineering: 0.7%Anecdotal0.0%This article: 3.8%Neetika Walter: 0.1%Interesting Engineering: 0.1%No True Scotsman3.8%This article: 4.2%Neetika Walter: 1.1%Interesting Engineering: 2.7%Ambiguity (Equivocation)4.2%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Middle Ground0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.2%Special Pleading0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 0.0%Neetika Walter: 0.9%Interesting Engineering: 1.8%Unattributed Quote0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.7%Quote-first Misdirection0.0%This article: 3.3%Neetika Walter: 2.1%Interesting Engineering: 3.8%Biased Writer Voice3.3%This article: 1.2%Neetika Walter: 0.5%Interesting Engineering: 0.8%Indoctrination1.2%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.1%Politically Right Leaning Bias0.0%This article: 27.0%Neetika Walter: 15.5%Interesting Engineering: 10.6%Attempt to Sell a Product or S…27.0%

601 words analyzed.

Speakers

2speakers23%attributed speech465writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageArun Jeldi • 18 words • 0.0% coverageArun Jeldi • 17 words • 100.0% coverageArun Jeldi • 7 words • 100.0% coverageArun Jeldi • 23 words • 100.0% coverageArun Jeldi • 9 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageJohn Marchand • 18 words • 0.0% coverageJohn Marchand • 21 words • 100.0% coverageJohn Marchand • 23 words • 0.0% coverage
Selected voice

Arun Jeldi

76%flagged-word coverage
74 attributed words54% of attributed speech56% writer coverage
0%35.0%70.0%Attempt to Sell a Product +46.4 ptsWriter: 19.8%Arun Jeldi: 66.2%66.2%Indoctrination+9.5 ptsWriter: 0.0%Arun Jeldi: 9.5%9.5%Biased Writer Voice-4.3 ptsWriter: 4.3%Arun Jeldi: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.