AI can now write articles, create images, produce videos, and write code. Next, it’s turning the real world directly into applications. CaveGiant Tech is set to launch the RTA (Reality-to-App) Agent, an AI creation platform for 3D spatial applications. Users simply record a real-world location with their smartphone and describe their requirements in natural language to generate a fully explorable, interactive, and instantly shareable 3D application. What once required coordinated efforts from spatial scanning, 3D modeling, app development, and content operations teams is now streamlined into three simple steps: record the space with a phone, describe the need in words, and publish the app directly. Everyone can now easily create their own digital spatial experiences.

Article author and source: CaveGiant Tech

In 3D space, there is still no mass-market creation tool.

Over the past few years, generative AI has continuously lowered the barrier to producing digital content.

ChatGPT enables everyone to write; Midjourney enables everyone to draw; Claude Code enables everyone to code. Text, images, video, and code are all shifting from professional production to mass creation.

However, in the realm of 3D space, the situation remains different.

Today, a scenic area wanting to build an online digital attraction, a company aiming to create a 3D brand exhibition hall, or a factory seeking to establish a virtual training space still typically requires multiple specialized teams for spatial scanning, 3D reconstruction, visual design, interactive development, and system deployment. The production cycle for such a project often takes weeks or even months, making it difficult to create and disseminate as quickly as images or short videos.

Meanwhile, demand for the digital space continues to grow.

From 3D digital assets and digital twins to spatial computing, multiple international research institutions anticipate rapid growth in these markets, collectively pointing to a trend: the real world is being digitized on a larger scale, and businesses are increasingly requiring 3D spaces capable of hosting content, interaction, and business processes simultaneously.

However, what the industry may truly lack is not another 3D visualization tool, but a set of creation tools that lower the barrier to producing 3D applications.

In other words:

As 3D reconstruction and generation technologies mature, the industry's true scarcity is shifting from "how to create a 3D digital space" to "how to enable more people to quickly create, distribute, and operate 3D space applications."

This is precisely the problem CaveGiant aims to solve.

Don't generate a 3D model—generate a functional 3D application.

For space owners, 3D models are typically intermediate products in the digital development process. While they can accurately recreate physical spaces, they are difficult to use directly by visitors and cannot independently support dissemination, interaction, or operations.

What users ultimately need is not a 3D file stored on a computer, but a 3D space application that they can enter, experience, share, and that continuously supports real-world business operations.

In simple terms:

The model addresses "space being restored," while the application addresses "space being utilized."

Over the past few years, CaveGiant has used high-fidelity 3D reconstruction technology to transform real-world locations into freely navigable digital spaces, further developing them into applications such as virtual tours, digital exhibitions, and digital twins. The RTA Agent aims to further simplify the process from “model completion” to “application readiness,” ensuring that spatial reconstruction results are not left as mere 3D files, but are directly converted into accessible, interactive, and shareable digital applications tailored to user-specific needs.

For example, a 3D model of a tourist attraction can only display the physical site; however, once developed into an application, visitors can enter online, explore freely, and access digital avatar-guided tours, navigation routes, interactive games, or booking services. Museums, corporate exhibition halls, and industrial spaces can also incorporate features such as content presentation, business access points, or data integration based on actual needs.

More intuitively, it’s like a “mini-program you can walk into”: users can enter simply via a link or QR code, without needing to download, install, or use any specific VR equipment. Unlike traditional web pages, users aren’t confronted with layers of 2D interfaces, but rather a 3D space they can freely explore, interact with in real time, and that continuously updates. Space owners can place entry points on offline posters, corporate websites, social media platforms, or marketing campaigns, and continuously update content while tracking visits and interaction data.

Take a photo, state your requirements, and send the link.

To enable more people to create such applications, CaveGiant will soon release the RTA Agent.

RTA, or "Reality-to-App," refers to transforming physical locations directly into digital applications. However, users do not need to understand this technical concept—the actual usage process involves only three simple steps.

The user uses a regular smartphone to walk through the venue and capture photos according to system instructions, recording the overall structure, environment, and content of the space.

The system will then reconstruct the content into a highly realistic 3D space that can be freely explored.

After spatial digitization is complete, users do not need to write code or learn complex 3D editing software—simply describe their needs in natural language.

For example, a scenic area operator can directly tell the system:

• Generate a virtual tour app for this scenic area, incorporating AI-guided commentary at three main attractions, design a stamp-collecting task, and include hotel and ticket booking options after the tour.

The system will configure the instructional content, interactive nodes, and business entry points within the digital space, and generate an application that can be further modified.

Users can also continue to adjust through conversation:

• Add three interactive questions for child visitors.
• Change the landing page to a Dragon Boat Festival theme.



Tasks that previously required repeated communication among design, development, and operations teams can now be gradually handled through conversation.

After the application is generated, users can obtain a link or QR code and share it on social media, the company website, offline events, and marketing materials.

The final deliverable is not a 3D file stored on a computer, but a digital application that can be genuinely accessed, interacted with, shared, and continuously operated.

This process reengineering has already demonstrated efficiency gains in the initial internal testing. In standard scenarios across 10 cultural and tourism sites, the average production cycle for the first usable version of the spatial application was reduced from three weeks to three days, with initial production costs decreasing by approximately 80%. Scenarios involving integration with complex business systems or requiring professional review still require manual configuration and approval.

This is what CaveGiant defines as Reality-to-App:

Capture a real-world space, state an application requirement, and generate a ready-to-use 3D application.

Platform capabilities refined from real-world projects

The Core team behind CaveGiant has backgrounds in metaverse technology from The Hong Kong Polytechnic University and R&D experience at Huawei. Over the past few years, they have successfully delivered multiple commercial projects in sectors such as tourism, culture, education, exhibitions, industrial manufacturing, and agriculture. Through these projects, the team has systematically developed a robust set of reusable capabilities, including route navigation, exhibit display, digital avatar narration, interactive tasks, equipment monitoring, business access points, and content operations. The data, components, and workflows gathered from these real-world applications form the foundation for RTA Agent’s understanding of industry needs and its ability to generate spatial applications.

In other words, the RTA Agent does not invent an application out of thin air; rather, it understands what problems users need to solve based on existing business projects and industry practices, and then invokes the appropriate capabilities to build the application.

Hong Kong Polytechnic University Digital Campus

PolyU's spatial digital reconstruction allows the administration to overlay multiple thematic activities on the same spatial foundation, eliminating the need for repeated development of underlying scenes.

Shenzhen Cultural Expo Digital Exhibition

Online exhibition hall of the National Cultural Industry Expo and Trade Fair, featuring 3D product displays, remote exhibition viewing, audio guides, and virtual tours.

Large-scale cultural and tourism digital scenic area (Ordos Grassland)

Immersive virtual tour with route navigation, hotel booking, and check-in activities

Digital twin of a large factory

Monitor and control factory operations in real time to set a benchmark for "dark factories."

Digital Twin of a Large Farm

Digitalization of the entire farm area, supporting crop and weather visualization, remote monitoring of autonomous vehicles, and 3D scene updates.

Digital asset platform and application creation platform

The asset platform standardizes spatial data and establishes blockchain-based ownership; the creation platform provides visualization editing and publishing tools for spatial applications.

These projects cover the entire process from spatial data collection and 3D reconstruction to content configuration, application development, and live operations, providing a foundation for the RTA Agent to gradually automate processes that previously relied on manual effort.

From platform tools to an open ecosystem of spatial applications

At this stage, the platform focuses on helping space owners quickly generate space applications, enabling them to build their own digital worlds with lower barriers and propagate and operate them through social networks. In the long term, the goal is to create an open ecosystem of space application creators.

In the future, creators will be able to develop spatial templates, industry solutions, interactive components, and even complete spatial applications on the platform, gradually forming an open ecosystem centered around the creation, distribution, operation, and value flow of spatial applications. As more spaces become digitized, more experiences are created, and more users participate, spaces will evolve from assets into networks, and from display mediums into new digital infrastructure. When global ecosystem participants collectively create this value, it naturally possesses networked and community-driven characteristics. At the appropriate stage of development, the platform will consider enabling creators, developers, space owners, and users to jointly participate in network building and share in the value generated by ecosystem growth through open protocols, community governance mechanisms, and token-based incentive systems.

Make space the next content medium after text, images, and video.

Text, images, and videos already have mature creation and distribution tools, while 3D spatial applications still largely rely on professional teams. CaveGiant believes that spatial experiences are becoming the next-generation digital content medium, and aims to simplify the digitization and development of real-world spaces into three steps: mobile capture, natural language generation, and link publishing—making it as easy to create and share 3D applications as posting a short video.

Phone storage space, generate a 3D app with one sentence.

About Cave Giant Technology

CaveGiant Tech is a spatial intelligence technology company founded by a team with expertise in metaverse technologies from The Hong Kong Polytechnic University, specializing in high-fidelity 3D reconstruction and agent-driven spatial application generation.

The company’s founder, Li Zhuang, is a former senior technical expert at Huawei and holds a master’s degree from The Hong Kong Polytechnic University. He has over a decade of experience in AI and cloud computing R&D, having led Huawei teams to solve multiple world-class technical challenges and successfully deliver large-scale projects.

Currently, CaveGiant is actively collaborating with industry partners, content creators, and investment institutions to drive the evolution of real-world spaces into digital experiences and intelligent applications.

CaveGiant Tech

Email: jackeysang1215Gmail.com

Official website: cavegiant.ai