Goes Live April 21, 2026 on Kickstarter
NEW YORK, March 10, 2026 /PRNewswire/ -- WeCreat is proud to unveil Lumos Ultra, elevating the modern maker's workflow with the world's first integrated 6W UV + 60W/100W MOPA laser system. Super Early VIP Access opens on March 9, where a $50 deposit unlocks $300 in launch savings. Lumos Ultra will officially launch on Kickstarter on April 21, 2026.
Lumos Ultra fuses two advanced laser technologies into a single unified system, delivering UV cold photochemical precision and MOPA high-power metal processing in one seamless workflow, redefining Laser Processing with a True One-Stop Platform.
Designed for professional creators, small business owners, and advanced makers, Lumos Ultra transforms how laser work is done—eliminating fragmented workflows, reducing equipment costs, boosting operation efficiency, and unlocking entirely new creative and commercial possibilities.
UV Meets MOPA: A Unified Evolution in Laser Architecture
Traditionally, creators and small businesses are forced to choose between different laser machines—UV for glass and delicate materials, MOPA or Fiber for metals. Each machine comes with its own cost, learning curve, space requirements, and workflow limitations.
Lumos Ultra changes that equation entirely.
By bringing UV and MOPA together in one unified system, Lumos Ultra delivers professional-grade processing for both metal and non-metal applications—enabling hybrid materials, mixed processes, premium craftsmanship, and high-value output from a single investment.
This one-stop architecture delivers measurable benefits:
- Save 30%+ Cost — One investment, twice the capability
- Save 90%+ Time — One-click switching, zero workflow interruption
- Save 50%+ Space — One footprint, two workstations
With support for 2,500+ materials and 10+ mainstream laser processes—including glass inner engraving, cold processing, 16K precision engraving, iridescent and vivid metal color engraving, 3D relief engraving, deep engraving, black marking, metal cutting, and derusting—Lumos Ultra covers virtually all core laser applications in one machine.
More importantly, it enables a new type of laser processing environment.
Small businesses can now engrave crystal awards, memorabilia, and customize metal jewelry —all in one machine. 3D printing studios can move from prototype printing to surface texturing, metal inserts, and premium finishing without outsourcing. PCB developers can engrave ultra-fine UV traces and cut metal boards in-house for same-day validation.
UV Precision: Cold Processing Meets Extreme Detail
UV is an all-around laser, and 6W is the optimal sweet spot to demonstrate UV laser's power and performance, engineered for speed, precision, consistency, and clean results.
- 5 Glass Engraving Modes — From Surface to True 3D Inside
Lumos Ultra offers 5 glass engraving modes: surface, 2D, 2.5D, 3D, and our exclusive 3D textured inner engraving. The textured inner engraving runs up to 5× faster than conventional 3D inner engraving with sharper contours, finer internal details, and clearer results—ideal for crystal art and premium glass customization.
- No-Burn Engraving with UV Cold Processing
Unlike other traditional lasers, UV laser uses photochemical cold processing to break molecular bonds without heat buildup. No melting, no charring, no deformation—ideal for heat-sensitive materials such as plastics, resins, leather, and coated materials. The result is clean edges, high contrast, and distortion-free details, even on delicate or layered designs.
- True 16K Ultra-Fine Precision
With an ultra-small 0.0019 mm spot size, UV precision on Lumos Ultra is 263× finer than CO₂ lasers and 20× finer than diode lasers. From micro-text to complex textures, every detail is rendered cleanly and accurately—reaching genuine 16K-level engraving precision beyond traditional laser limits.
MOPA Power: Color, Depth, and Real Metal Cutting
Engineered to master metal processing, Lumos Ultra can be paired with a 60W or 100W MOPA laser module—making it the only integrated laser platform today with expandable 1064nm architecture, allowing future upgrades to fiber or picosecond lasers without replacing the machine.
- Two Color Engraving Modes That Make Metals Pop
MOPA technology enables two distinct metal color effects:
These effects transform logos, artwork, and decorative metal into high-impact, premium finishes.
- True Metal Relief, Deep Engraving, and Cutting
Lumos Ultra supports true 3D metal relief and deep engraving, delivering clean edges and consistent depth for professional engraving, jewelry making, and functional metal parts.
With 60W/100W MOPA metal cutting, the system handles prototyping, custom components, and industrial elements with precision and control—far beyond standard engraving applications.
One Machine, One Workflow: Software Intelligence Meets Production Efficiency
Lumos Ultra is a fully integrated workflow platform. Hardware power is matched by a unified software ecosystem that transforms complex professional operations into streamlined, intuitive actions.
- UV & MOPA One-Click Switching
Switch between UV precision and MOPA power instantly—no hardware swap, no recalibration, no workflow interruption. From crystal detailing to metal engraving and cutting, everything runs through one machine and one unified interface.
Built-in AIGC tools expedite design and unlock new creative freedom:
- Automation That Works for You
Additional software features include a ready-to-use project library, 3-step color engraving, automatic field-lens detection, Smartfill powered by a 50MP camera, full-size live preview, and intelligent layout & nesting.
- Upgraded Production, Diverse Accessories
Powered by a high-speed galvo system, Lumos Ultra reaches 16,000 mm/s engraving speed—over 13× faster than CO₂ and 26× faster than diode lasers, delivering real productivity gains for professionals.
Additionally, Lumos Ultra supports a wide range of accessories for scalable production and diverse application:
Kickstarter Launch & Early Bird Access
Lumos Ultra will officially launch on Kickstarter on April 21, 2026, with shipping available to the United States, the European Union, United Kingdom and Canada.
Beginning March 9, supporters can secure early access with a refundable $50 deposit at wecreat.com, unlocking $300 in VIP cashback, priority shipping from late June, and exclusive early notification of Super Early Bird pricing ahead of the public launch.
At launch, only 100 Super Early Bird units will be available on a first-come, first-served basis.
Join the official WeCreat Lumos Ultra Facebook group for early updates and expert insights.
Website: www.wecreat.com
About WeCreat
WeCreat is a design-focused startup dedicated to unlocking the power of industrial-grade engraving for makers, small businesses, and creators worldwide. With elegant engineering and user-first software, WeCreat tools empower people to create brilliantly—without compromise.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
WeCreat Launches Lumos Ultra on KickStarter: The World's First & Only One-Stop 6W UV + 60W/100W MOPA Laser System
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TEANECK, N.J., March 11, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) released new research showing that companies pursuing AI adoption overwhelmingly prefer IT services firms - such as "AI Builder" firms, a new services model defined by designing and building custom, full stack AI solutions - to deliver real enterprise value from AI.
The research, based on a quantitative study of 600 AI decision makers and qualitative interviews with 38 senior executives, finds that organizations rank custom solutions and flexible engagement models as the most important factor when selecting an AI partner, ahead of pricing and time to value. Pricing and proven AI case studies remain important, but rank below capabilities that enable AI to be embedded directly into business operations and value chains.
At the same time, enterprises cite generic, off-the-shelf AI solutions as a leading reason to reject an AI provider, along with lack of industry-specific expertise, inability to integrate into existing technology stacks, and inadequate support and maintenance. According to the research, the top three challenges organizations face in enterprise AI adoption are regulatory and compliance concerns, difficulty demonstrating return on investment and lack of clear AI strategy and vision.
"AI success is not about deploying isolated models—it's about engineering intelligence into the enterprise with purpose-built solutions," said Ravi Kumar S, CEO of Cognizant. "The most trusted path to an AI future is working with an AI Builder—one that brings deep industry context, systems engineering expertise, and operational accountability. At Cognizant, we focus on building the bridge from AI experimentation to measurable enterprise value."
Key findings from the study include:
Enterprises face a "messy middle" in scaling AI: AI builders can create the bridge to enterprise value -- solving complex, real-world problems:
- 63% of enterprises report moderate-to-large gaps between their AI ambitions and current capabilities.
- The biggest barriers to scaling AI are operational and organizational:
- 33% cite regulatory and compliance challenges
- 31% struggle to demonstrate ROI
- 27% report shortages in talent
- 27% report inadequate data readiness
AI investment is long term, not experimental: Enterprises are committing sustained capital to AI, signaling long-term infrastructure building rather than speculative investment:
- 84% of enterprises maintain formal AI budgets
- 91% expect AI budgets to grow in the next two years
- 50% anticipate double-digit increases in AI budgets over the next two years
- 52% are already investing $10M or more annually on AI initiatives
AI is augmenting human workforces, not replacing them: Enterprise leaders are not forecasting workforce collapse, they're forecasting redesign of workflows for human-AI collaboration.
- Across 13 enterprise functions, the highest expected level of full automation is only 20% (in sales)
- Even in customer service, where 76% of leaders expect workflows to become AI-dominant, only 9% believe they will be fully automated.
In qualitative interviews conducted as part of the research, enterprise leaders said "out‑of‑the‑box" AI is inadequate; they want tailored solutions AI builders can develop and tune.
A Vice President in the UK banking sector shared, "A lot of vendors come in thinking that the off-the-shelf solutions they have would fit our needs, but often enough they find that that's not the case. And it takes them a number of years, more than they planned, and a lot of money, both from us … to get those software working. And these are not just AI software."
A US-based insurance industry CIO stated, "It depends on where I'm inserting this particular ingredient in our value. And so sometimes I want a builder and an engineer, sometimes I want an integrator, sometimes I want an activator. Because they're playing more of a coordinating function—a weaving, stitching-together function."
Together, these research insights underscore a clear shift in enterprise expectations: from experimenting with AI tools to partnering with AI Builders that can design, build, integrate, and operate AI systems at scale— in alignment with client governance, security, and risk‑management frameworks and with lasting business impact.
These findings align with recent remarks by Babak Hodjat, Chief AI Officer at Cognizant, who noted that enterprises are far from being able to rely on AI "out of the box." In interviews with Fortune and Reuters, Hodjat emphasized that while agentic and generative AI systems are advancing rapidly, organizations still need significant help engineering, integrating, governing, and operating these systems in ways that support client safety, reliability and governance requirements within complex enterprise environments.
AI decision makers rated IT services firms like AI builders highest in their ability to assist with their AI adoption (ahead of SaaS providers, cloud providers, AI model companies, AI startups and management consultancies). The research also finds that IT services firms are trusted across the AI adoption lifecycle—especially in ongoing management of AI-enabled systems, but also in AI strategy, custom AI solution development, increasing organizational productivity and scaling AI across the enterprise. IT services firms have a 23% trust advantage over management consultancies in AI adoption. While management consultancies benefit from strong brand recognition, they are seen as less credible in hands-on AI implementation.
About the Research
Cognizant's research findings are based on quantitative research conducted in November 2025 with 600 AI decision makers, and qualitative interviews conducted in October 2025 with 38 business and technology leaders in the United States, Germany, Singapore and Australia with AI decision making responsibility. The full report can be found here: How ai is reshaping business & empowering workforces | Cognizant
About Cognizant
Cognizant (NASDAQ: CTSH) is an AI builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Name: Gabrielle Gugliocciello
Email: gabrielle.gugliocciello@cognizant.com
Europe / APAC
Name: Sarah Douglas
Email: sarah.douglas@cognizant.com
India
Name: Vipin Nair
Email: Vipin.Nair@cognizant.com
TEANECK, N.J., March 11, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) released new research showing that companies pursuing AI adoption overwhelmingly prefer IT services firms - such as "AI Builder" firms, a new services model defined by designing and building custom, full stack AI solutions - to deliver real enterprise value from AI.
The research, based on a quantitative study of 600 AI decision makers and qualitative interviews with 38 senior executives, finds that organizations rank custom solutions and flexible engagement models as the most important factor when selecting an AI partner, ahead of pricing and time to value. Pricing and proven AI case studies remain important, but rank below capabilities that enable AI to be embedded directly into business operations and value chains.
At the same time, enterprises cite generic, off-the-shelf AI solutions as a leading reason to reject an AI provider, along with lack of industry-specific expertise, inability to integrate into existing technology stacks, and inadequate support and maintenance. According to the research, the top three challenges organizations face in enterprise AI adoption are regulatory and compliance concerns, difficulty demonstrating return on investment and lack of clear AI strategy and vision.
"AI success is not about deploying isolated models—it's about engineering intelligence into the enterprise with purpose-built solutions," said Ravi Kumar S, CEO of Cognizant. "The most trusted path to an AI future is working with an AI Builder—one that brings deep industry context, systems engineering expertise, and operational accountability. At Cognizant, we focus on building the bridge from AI experimentation to measurable enterprise value."
Key findings from the study include:
Enterprises face a "messy middle" in scaling AI: AI builders can create the bridge to enterprise value -- solving complex, real-world problems:
- 63% of enterprises report moderate-to-large gaps between their AI ambitions and current capabilities.
- The biggest barriers to scaling AI are operational and organizational:
- 33% cite regulatory and compliance challenges
- 31% struggle to demonstrate ROI
- 27% report shortages in talent
- 27% report inadequate data readiness
AI investment is long term, not experimental: Enterprises are committing sustained capital to AI, signaling long-term infrastructure building rather than speculative investment:
- 84% of enterprises maintain formal AI budgets
- 91% expect AI budgets to grow in the next two years
- 50% anticipate double-digit increases in AI budgets over the next two years
- 52% are already investing $10M or more annually on AI initiatives
AI is augmenting human workforces, not replacing them: Enterprise leaders are not forecasting workforce collapse, they're forecasting redesign of workflows for human-AI collaboration.
- Across 13 enterprise functions, the highest expected level of full automation is only 20% (in sales)
- Even in customer service, where 76% of leaders expect workflows to become AI-dominant, only 9% believe they will be fully automated.
In qualitative interviews conducted as part of the research, enterprise leaders said "out‑of‑the‑box" AI is inadequate; they want tailored solutions AI builders can develop and tune.
A Vice President in the UK banking sector shared, "A lot of vendors come in thinking that the off-the-shelf solutions they have would fit our needs, but often enough they find that that's not the case. And it takes them a number of years, more than they planned, and a lot of money, both from us … to get those software working. And these are not just AI software."
A US-based insurance industry CIO stated, "It depends on where I'm inserting this particular ingredient in our value. And so sometimes I want a builder and an engineer, sometimes I want an integrator, sometimes I want an activator. Because they're playing more of a coordinating function—a weaving, stitching-together function."
Together, these research insights underscore a clear shift in enterprise expectations: from experimenting with AI tools to partnering with AI Builders that can design, build, integrate, and operate AI systems at scale— in alignment with client governance, security, and risk‑management frameworks and with lasting business impact.
These findings align with recent remarks by Babak Hodjat, Chief AI Officer at Cognizant, who noted that enterprises are far from being able to rely on AI "out of the box." In interviews with Fortune and Reuters, Hodjat emphasized that while agentic and generative AI systems are advancing rapidly, organizations still need significant help engineering, integrating, governing, and operating these systems in ways that support client safety, reliability and governance requirements within complex enterprise environments.
AI decision makers rated IT services firms like AI builders highest in their ability to assist with their AI adoption (ahead of SaaS providers, cloud providers, AI model companies, AI startups and management consultancies). The research also finds that IT services firms are trusted across the AI adoption lifecycle—especially in ongoing management of AI-enabled systems, but also in AI strategy, custom AI solution development, increasing organizational productivity and scaling AI across the enterprise. IT services firms have a 23% trust advantage over management consultancies in AI adoption. While management consultancies benefit from strong brand recognition, they are seen as less credible in hands-on AI implementation.
About the Research
Cognizant's research findings are based on quantitative research conducted in November 2025 with 600 AI decision makers, and qualitative interviews conducted in October 2025 with 38 business and technology leaders in the United States, Germany, Singapore and Australia with AI decision making responsibility. The full report can be found here: How ai is reshaping business & empowering workforces | Cognizant
About Cognizant
Cognizant (NASDAQ: CTSH) is an AI builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Name: Gabrielle Gugliocciello
Email: gabrielle.gugliocciello@cognizant.com
Europe / APAC
Name: Sarah Douglas
Email: sarah.douglas@cognizant.com
India
Name: Vipin Nair
Email: Vipin.Nair@cognizant.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Cognizant Research Shows Plug-and-Play AI is a Myth
