Business
MILC Metaverse Partners with K4 Rally for Exciting Racing Experience

Since its launch in 2021, MILC Metaverse — born from the visionary TV media brand Welt der Wunder — has quickly become a trailblazer in the realms of entertainment, e-commerce, and lifestyle, revolutionizing the Web3 space. Now, with an electrifying collaboration on the horizon with GAWOONI and the K4 Rally game, MILC is poised to raise the bar even higher in digital entertainment.
A New Era of Digital Gaming
A new era of digital gaming erupted on August 4, 2024, in Munich: MILC (Media Industry Licensing Content) Metaverse and the blockchain-based K4 Rally racing game have teamed up to revolutionize their industries. The electrifying partnership is set to redefine digital entertainment, combining MILC’s immersive Web3 media platform with the heart-pounding action of K4 Rally.
The collaboration introduces exclusive content and interactive spaces for the MILC and K4 communities, pushing the boundaries of what’s possible in the gaming world.
“Get ready for a thrilling ride,” Hendrik Hey, CEO and Founder of MILC, says.
The K4 Rally Experience
K4 Rally, a cutting-edge racing game, redefines the genre with its next-level gaming technology, offering an exhilarating experience. With its breathtaking visuals and lifelike physics powered by the same Unreal Engine used by MILC, K4 Rally delivers an experience that’s as thrilling as it is immersive.
From custom-designed race cars to diverse, adrenaline-pumping tracks, every aspect of the game keeps players on the edge of their seats. But what really sets K4 Rally apart is its integration of Web3 elements, enabling unique digital interactions and community-driven events that bring the racing experience to life like never before.
Gamification in the MILC Metaverse
The MILC Metaverse presents an electrifying virtual platform where blockchain technology and digital media converge to create an immersive, interactive experience unlike any other. Under the visionary leadership of Hey, MILC is on a mission to connect and entertain communities through exciting collaborations and shared adventures.
Gamification is at the heart of this experience, transforming even non-gaming activities into captivating challenges. With easily accessible games that keep users coming back for more, the MILC Metaverse ensures that exploration of its vibrant digital world is always thrilling.
Gamification has revolutionized the way the world engages with apps like Duolingo and Temu, transforming everyday activities into exciting, game-like experiences. By embracing gamification, MILC Metaverse delivers free and easily-accessible gaming experiences that captivate users from the get-go. Such interactive activities put entertainment at the forefront in order to boost user engagement, spark curiosity, and keep users coming back for more exploration within the Metaverse. The thrill of such games creates an immersive environment that makes every visit unforgettable!
Exclusive Perks and Community Benefits
Plus, there are exciting perks for the community: MILC Metaverse has turbocharged the K4 Rally game by introducing a custom-designed race car, marking the start of K4 Rally’s exciting journey within MILC’s vast digital universe. Both platforms are ‘revving up’ to offer their communities exclusive perks, from unique content to tournaments and interactive zones.
Leadership and Vision
Frank Holz, CEO of GAWOONI, couldn’t contain his excitement in an official release, exclaiming, “German productions are now internationally very successful in the blockchain segment. We are excited about the partnership with MILC Metaverse because they offer a truly broad, strong, and innovative range of media content.”
Hey also expressed his enthusiasm, stating, “Following the strategic integration of partners from the film, TV, and various other industries, we expanded our Metaverse into the segments of music and gaming this year. The car-racing game genre, in particular, has undergone a transformative revolution. Leveraging the impressive sharpness of the Unreal 5 Engine, the K4 Rally racing game effectively captivated our target audience. We are proud to set a milestone with Gawooni, paving our way from Web2.5 to Web3 in the gaming industry.”
Discover More
Discover all the details by visiting the official websites of MILC Metaverse and K4 Rally, or reach out directly to MILC’s press team at [email protected] for further inquiries.
About MILC
Hendrik Hey is the Founder of MILC (Media Industry Licensing Content), a pioneering company in the blockchain and metaverse space, with a strong background in media and content. MILC operates a real live metaverse platform that serves not only the media industry but also various industrial use cases. The company also focuses on Web3 consulting, aiming to support complex real-world industries on their way into Web3. MILC is a sister company of European media giant Welt der Wunder, which Hey founded over 25 years ago. For more information, please visit https://www.milc.global
Business
MetaWorx: Building Full-Stack AI Teams, Not Just Automation

Automation still dominates most headlines, yet the returns often fail to meet expectations. A sprawling chatbot rollout might shave a few support tickets, but it rarely shifts the profit-and-loss statement in a lasting way.
McKinsey’s 2025 workplace survey pegs AI’s long-term productivity upside at $4.4 trillion, but only one percent of enterprises say they’ve reached true “AI maturity.” MetaWorx, a New York-based consultancy founded by Rachel Kite, argues that the shortfall has nothing to do with models and everything to do with people.
“Treat AI like a point solution and you’ll get point-solution results,” shares Kite. “You need a roster that can carry the ball from raw data to governance, or the whole thing stalls at the proof-of-concept phase.”
The pod blueprint
When a plug-and-play automation script collapsed under real-world data drift, costing Kite a lucrative contract, she sketched the six-person “pod” that now anchors every MetaWorx engagement:
- An infrastructure architect to tame compute costs.
- A data engineer to secure and shape pipelines.
- An applied scientist to prototype models against live feedback loops.
- An MLOps engineer to automate rollback and retraining.
- A domain product lead translates forecasts into features users actually notice.
- Ethics and compliance analysts to stress test outputs for bias and keep the audit.
The team’s first sprint still delivers a quick-win bot — “small enough to calm the CFO,” jokes Kite — but the roadmap quickly pivots to reliability, explainability, and eventually optimization. By tying every algorithmic decision to a quantifiable business metric, the pods turn AI from a science project into a growth lever.
Recruiting for curiosity, not credentials
With Bain & Company predicting a global AI-skills crunch through 2027, MetaWorx has stopped chasing unicorn résumés. Instead, it hires “adjacent athletes”: a computer-vision PhD who hops from medical imaging to warehouse surveillance, or a former journalist who recasts her nose for story into prompt-engineering finesse.
“Domain expertise expires fast,” Kite says. “What doesn’t expire is the instinct to ask better questions.” The result is a lattice of overlapping skills that stays flexible when models wander into the long tail of edge-case data.
A culture of rapid experiments
Inside MetaWorx, every idea faces the same litmus test: ship something — anything — into a user’s hands within 21 days. The “three-week rule” forces prototypes into the wild early, where failure is cheap and feedback is swift. Post-mortems, including cost overruns, are circulated company-wide, erasing any stigma associated with missteps.
That laboratory mindset powers velocity. “Our first model is almost always wrong,” Kite admits, “but version 1.0 is the tuition we pay for version 2.0.” The philosophy echoes her TEDx talk on resilience: progress is iterative, not heroic.
How leaders can steal the playbook
Executives itching to replicate MetaWorx’s results don’t need a blank check. Kite offers a five-step sequence:
- Inventory pain points, not tools: Walk the P&L line by line and tag the friction you can measure.
- Map the stack to the problem: A recommendation engine, for instance, requires behavior data, retraining triggers, and feedback capture — automation alone won’t suffice.
- Stand up a pod: Reassign existing talent into a cross-functional tiger team before hiring externally; the chemistry test is free.
- Measure the story, not just the statistic: Pair model accuracy with human-scale metrics like ticket backlog or employee churn.
- Budget for the boring: Reserve at least 30 percent of spend for MLOps and governance; Stanford’s HAI review links most AI failures to neglected upkeep.
Taken together, those steps shift AI from a pilot novelty to an operational habit that compounds value rather than topping out after an initial PR splash.
Character still scales faster than code
MetaWorx plans to double its headcount this year, yet Kite insists the secret isn’t a proprietary framework or a monster war chest. It’s credibility. Clients see a founder who has wrestled with the same outages and surprise bills they face. That authenticity converts skeptics faster than any algorithmic novelty.
“Tools level out,” Kite says. “Culture compounds.”
The insight lands in a marketplace still dazzled by generative fireworks. Yes, MetaWorx ships models and dashboards, but its true product is a mindset: resilience over rigidity, questions over credentials, experiments over edicts. In Kite’s world, automation is merely the appetizer. The main course is a full-stack team that knows why the model matters to the business and who owns its success after launch day.
And that, Kite argues, is how AI finally graduates from cost-cutter to growth engine, one curious pod at a time.
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