Top Metaverse Development Companies in 2026

Metaverse development companies are specialized engineering firms that architect persistent spatial computing solutions, distinguished from agencies by core competencies in real-time 3D simulation and backend architecture for high concurrent users. Their expertise is demonstrated through mastery of platforms like Unreal Engine 5.4 for photorealistic rendering and NVIDIA Omniverse for industrial digital twins built on the Universal Scene Description (USD) standard. True partners build hardware-agnostic applications using the OpenXR SDK and support Web3 principles with Decentralized Identifiers (DIDs) for self-sovereign identity. They also specialize in corporate metaverse integration with enterprise systems like ERPs and PLMs, ensuring the solution provides measurable operational value.

Core Competencies: Differentiating Spatial Computing Developers from Agencies

Core competencies for metaverse development are specialized technical disciplines—like real-time 3D simulation and persistent world architecture—that distinguish true spatial computing developers from generalist digital agencies. These competencies define a company’s capacity to deliver scalable, high-fidelity, and interoperable spatial computing solutions. The distinction is not semantic; it is the fundamental difference between building a transient marketing activation and architecting a persistent, value-generating enterprise platform.

An enterprise must look beyond polished case studies and assess a potential partner’s foundational expertise. This involves scrutinizing their team composition, R&D investments, and contributions to open standards. A firm that primarily lists brand campaigns is an immersive experience agency; a firm that details its distributed computing architecture or contributions to the OpenXR specification is an engineering partner. The latter is equipped for the rigorous demands of corporate metaverse integration.

Industrial Digital Twin Providers vs. Immersive Experience Agencies

Industrial digital twin providers focus on creating data-driven, physically accurate virtual replicas of real-world assets, systems, and processes. Their core value lies in simulation, predictive maintenance, and operational optimization. This requires deep expertise in photogrammetry accuracy, LiDAR scanning, IoT data integration, and physics-based simulation. The objective is operational fidelity, not narrative engagement.

Immersive experience agencies, by contrast, specialize in storytelling, user engagement, and brand activation. Their projects prioritize emotional impact and aesthetic appeal, often for marketing or entertainment purposes. While technically proficient in creating beautiful environments, they typically lack the engineering rigor for high-consequence industrial applications where millimeter-level precision and real-time data synchronization are paramount.

Real-Time 3D Simulation Companies: Specializing in High-Fidelity Environments

Real-time 3D simulation companies represent a critical subset of developers focused on creating dynamic, interactive, and visually sophisticated environments. Their expertise is rooted in advanced graphics programming, computational physics, and performance optimization for complex scenes. These are the firms that can achieve photorealism and simulate intricate systems, from fluid dynamics in a chemical plant to multi-agent logistics in a warehouse.

These specialists are fluent in the advanced capabilities of engines from providers like Epic Games and the simulation platforms of NVIDIA Omniverse. They understand the nuances of GPU pipeline optimization, procedural content generation (PCG) to build vast worlds efficiently, and implementing custom shaders to achieve specific material properties. Their work forms the visual and interactive foundation of any high-value enterprise metaverse.

Web3 World Builders: Expertise in Decentralized Virtual Environment Creators

Web3 world builders bring a fundamentally different architectural philosophy centered on decentralization, user ownership, and open economic systems. These decentralized virtual environment creators leverage blockchain technology to manage digital identity, asset ownership (via standards like the ERC-1155 Token Standard), and governance. Their competency is not just in 3D development but in cryptoeconomics and smart contract engineering.

Engaging with these firms is essential for projects requiring verifiable digital scarcity, user-governed economies, or interoperable assets that can move between different virtual worlds. They are the architects of open, permissionless systems, a stark contrast to the closed, proprietary platforms that defined earlier internet eras. A deep understanding of this space is available from any expert blockchain development company.

Persistent World Platform Developers: The Architecture of Scalability

The challenge of the metaverse is not just rendering a 3D scene but making it a shared, persistent space for thousands or millions of concurrent users. Persistent world platform developers specialize in the complex backend architecture required to achieve this scale. Their work involves distributed databases, server meshing, and state synchronization protocols designed to handle massive Concurrent Users (CCU) without sacrificing performance.

Firms like Improbable (SpatialOS) have pioneered solutions in this domain. Vetting a partner’s capability here requires a deep dive into their networking stack, their strategies for handling high-frequency updates, and their approach to data persistence. A failure in this architectural layer means a project can never scale beyond a small, session-based experience.

Corporate Metaverse Integration Specialists for Enterprise Ecosystems

The final, crucial competency is the ability to integrate a spatial computing application into an existing enterprise technology stack. A metaverse platform cannot exist in a vacuum. It must securely connect to ERPs for supply chain data, PLMs for product design files, and CRMs for customer information.

Corporate metaverse integration specialists possess a hybrid skill set of 3D development and enterprise IT architecture. They understand API design, data security protocols, and the challenges of synchronizing information between legacy systems and a real-time 3D environment. This capability ensures that the metaverse becomes an operational tool that enhances existing workflows, rather than an isolated technological novelty.

Section Takeaway: Selecting a metaverse development partner requires a precise evaluation of their core technical competencies, distinguishing specialized engineering firms from generalist agencies to align capabilities with enterprise objectives.

Vetting Companies by Platform & Engine Mastery

A development company’s mastery of specific real-time 3D engines and platforms, such as Unreal Engine 5.4 or NVIDIA Omniverse, is the primary determinant of its ability to deliver on technical requirements for photorealism, cross-platform deployment, and industrial simulation. This expertise directly impacts project scope, budget, and performance outcomes. Platform proficiency is not a line item on a resume; it is a deep, institutional knowledge of an engine’s architecture, limitations, and optimization pathways.

An enterprise must assess not only which platforms a company uses but how it uses them. Does the team contribute to the engine’s source code? Do they have certified developers? Can they demonstrate advanced techniques like custom physics solvers or optimized rendering pipelines using the WebXR Device API? This level of scrutiny separates firms with surface-level familiarity from those with true architectural command of the technology.

How to Choose a Metaverse Development Platform: A Decision Matrix

The choice of development platform is one of the most critical technical decisions in any metaverse project. It dictates visual quality, hardware compatibility, developer talent pool, and long-term costs. A decision matrix provides a structured framework for evaluating these trade-offs based on specific project requirements.

Which companies specialize in Unreal Engine 5.4 for photorealistic rendering?

Companies specializing in Unreal Engine 5.4 are the premier choice for applications where visual fidelity is non-negotiable. Their expertise lies in leveraging core technologies like Nanite for virtualized micropolygon geometry and Lumen for fully dynamic global illumination. These firms can deliver cinematic-quality experiences that blur the line between real and virtual, which is critical for architectural visualization, automotive design, and high-end product showcases.

When vetting these specialists, demand to see projects that push the engine’s rendering capabilities. Inquire about their workflows for integrating scanned data, their experience with the virtual texturing system, and their strategies for optimizing frame rates while maintaining visual quality. True experts will be able to discuss the trade-offs between different anti-aliasing methods and their impact on clarity in VR headsets.

Assessing Unity 2023 LTS proficiency for cross-platform mobile and WebXR deployment

Unity Technologies‘ engine remains the dominant platform for projects requiring broad reach, especially on mobile devices, standalone VR headsets like the Meta Quest series, and web-based experiences via WebXR. A firm with deep Unity 2023 LTS proficiency excels at performance optimization for resource-constrained hardware. They are masters of managing draw calls, optimizing shader complexity, and using the Universal Render Pipeline (URP) to scale applications across a vast ecosystem of devices.

Assessing this proficiency involves reviewing their portfolio of shipped mobile AR and VR titles. Ask about their experience with platform-specific SDKs like the Meta Presence Platform SDK and their approach to building a single codebase that targets multiple endpoints. The best top 5 Unity development companies in 2026 demonstrate a rigorous, data-driven approach to performance profiling and optimization.

The Rise of NVIDIA Omniverse for collaborative industrial simulation

NVIDIA Omniverse is not merely a 3D engine; it is a collaborative development platform built on Pixar’s Universal Scene Description (USD) standard. Companies specializing in Omniverse are ideal partners for complex industrial use cases, such as factory digital twins, robotics simulation, and collaborative design reviews. Their key skill is integrating disparate 3D data from various CAD and design tools (like Revit, SolidWorks, and Blender) into a single, live-synced environment using the NVIDIA Omniverse Nucleus database engine.

These firms understand how to build custom Omniverse Connectors and Extensions to tailor the platform to specific enterprise workflows. Vetting them requires an understanding of their experience with industrial data standards and their ability to leverage Omniverse for large-scale, physically accurate simulation. The platform’s capabilities are detailed extensively in official documentation from NVIDIA, and its application for XR digital twins is a key area of enterprise growth.

Evaluating firms using proprietary engines like Improbable’s SpatialOS for high CCU

For applications requiring unprecedented scale—tens of thousands of concurrent users in a single, seamless world—proprietary platforms like Improbable’s SpatialOS offer solutions that general-purpose engines cannot match. These platforms use novel distributed computing architectures to overcome the limitations of a single-server design. A development firm specializing in a proprietary engine has made a significant investment in a niche, high-performance technology.

The evaluation process for these firms is unique. It involves assessing the maturity and stability of the underlying proprietary platform, the quality of its documentation and developer tools (like the SpatialOS GDK), and the vendor’s long-term viability. While powerful, this path introduces vendor lock-in, making it a strategic decision that requires careful consideration of the trade-offs between unparalleled scale and the risks of a closed ecosystem.

Section Takeaway: Vetting a company’s engine mastery requires moving beyond a simple checklist to a deep analysis of their architectural expertise, optimization capabilities, and strategic alignment with the project’s specific performance and platform targets.

The Interoperability Stack: Gauging a Company’s Commitment to Open Standards

A company’s commitment to the interoperability stack—a suite of open standards like USD, OpenXR, and glTF—is a critical indicator of its ability to build future-proof, hardware-agnostic, and interconnected metaverse experiences. This commitment prevents vendor lock-in and ensures long-term asset portability. A partner who builds with open standards is architecting for the future; one who relies on proprietary formats is building a technological silo.

True commitment is demonstrated through active participation in standards bodies, contributions to open-source projects, and a portfolio that showcases seamless data exchange between different tools and platforms. An enterprise should demand to see a developer’s interoperability workflow in action, from asset creation to final deployment, verifying that open standards are a core architectural principle, not an afterthought.

Mandating Universal Scene Description (USD) for 3D pipeline efficiency

Universal Scene Description (USD) is the foundational standard for 3D data interoperability. Developed by Pixar, it provides a rich, common language for describing, composing, and collaborating on 3D scenes. Mandating USD proficiency ensures that assets can move frictionlessly between content creation tools like Blender, Maya, and Houdini and real-time engines like Unreal and Omniverse. This dramatically reduces data translation errors and accelerates production pipelines.

A development partner must demonstrate deep expertise in USD’s composition arcs (like sublayers and references) and its schema for defining complex assets. They should be able to articulate a clear strategy for using USD as the backbone of the content pipeline. The official documentation from Pixar Graphics provides the technical baseline against which a partner’s knowledge should be measured.

How the best tools for interoperable avatars leverage glTF 2.0, VRM, and Ready Player Me SDK

Avatars are the user’s representation in the metaverse, and their interoperability is paramount for a connected experience. The primary standard for 3D asset delivery is glTF 2.0, often called the “JPEG of 3D.” For avatars specifically, the VRM standard builds upon glTF to include standardized data for expressions, gaze, and humanoid bone mapping.

Leading development firms leverage these standards and integrate platforms like Ready Player Me, which provides a cross-platform avatar system via its Ready Player Me Avatar SDK. When evaluating a company, assess their strategy for avatar creation and management. Do they support importing avatars from multiple sources? Do they adhere to the VRM standard to ensure compatibility with other applications? A commitment to an open avatar system is a commitment to a user-centric metaverse.

Verifying OpenXR SDK and W3C Immersive Web compliance for hardware agnosticism

OpenXR is a royalty-free, open standard from the Khronos Group that provides a universal API for accessing virtual and augmented reality hardware. A developer who builds with the OpenXR SDK creates applications that can run on a wide range of devices—from a Varjo headset to a Meta Quest—without needing to rewrite device-specific code. This hardware agnosticism is essential for future-proofing an enterprise investment. The official OpenXR specification is the definitive source for its capabilities.

For web-based experiences, compliance with the W3C Immersive Web standards (including the WebXR Device API) is equally critical. This ensures that immersive content can be delivered directly through a browser, maximizing accessibility and removing the friction of app store downloads. A partner’s proficiency in both OpenXR and WebXR is a key indicator of their ability to deliver applications with the broadest possible reach.

The role of the Metaverse Standards Forum in guiding development practices

The Metaverse Standards Forum is an organization where hundreds of companies, standards organizations, and universities coordinate to foster the development of open standards for the metaverse. While it does not create standards itself, it facilitates communication and cooperation among the bodies that do.

A development company’s membership or active participation in the Forum signals a strategic commitment to interoperability and a forward-looking perspective on the industry’s evolution. It shows they are not just passive users of standards but are engaged in the conversation shaping the future of spatial computing. Inquiring about a potential partner’s involvement with the Metaverse Standards Forum can be a valuable proxy for their strategic alignment with an open and interconnected metaverse.

What is the difference between Web2 and Web3 metaverse identity? (DIDs vs. OAuth)

Identity management is a core component of the interoperability stack. The traditional Web2 model relies on centralized identity providers using protocols like OAuth, where a user’s identity is owned and managed by a corporation (e.g., “Sign in with Google”). The emerging Web3 model uses Decentralized Identifiers (DIDs), which are user-controlled, self-sovereign identities not dependent on any central authority.

A forward-thinking development partner will have a clear strategy for incorporating DIDs, allowing users to own and control their identity and data across different metaverse experiences. This aligns with modern data privacy principles and is a foundational element of the open metaverse. The technical specification is maintained by the W3C and provides a deep dive into the architecture of DIDs.

Section Takeaway: A development company’s demonstrable commitment to open standards like USD, OpenXR, and DIDs is the most reliable predictor of their ability to build secure, scalable, and future-proof enterprise metaverse solutions.

Enterprise Metaverse Solutions: A Financial & Operational Analysis

A successful enterprise metaverse solution requires a rigorous financial and operational analysis, encompassing component-based cost modeling, clear ROI calculation against defined KPIs, and a technical roadmap for scalability and data security. This analysis transforms a conceptual project into a measurable business investment. Without this financial and operational framework, even the most technologically impressive metaverse project is destined to be a costly experiment with no clear path to business value.

The right development partner acts not just as a builder but as a strategic consultant, helping to define these metrics and build the business case for the investment. They should be able to translate technical features into operational efficiencies and financial returns, justifying the project in the language of the C-suite.

What is the cost of building an enterprise metaverse? A component-based model

The cost of an enterprise metaverse is not a single figure but a composite of several key components. A transparent development partner will provide a detailed breakdown, allowing for clear budgeting and phased investment.

1. Strategy & Discovery: Initial phase for defining use cases, technical requirements, and ROI models.
2. Platform & Engine Licensing: Costs associated with Unity, Unreal Engine, or specialized platforms like Omniverse.
3. 3D Content Creation: The most significant cost driver. Includes modeling, texturing, and optimization of environments, avatars, and assets. This can involve manual creation, volumetric capture, or processing photogrammetry data.
4. Core Application Development: Engineering the user experience, interaction logic, and application features.
5. Backend & Infrastructure: Developing or licensing the server architecture, databases, and networking solutions required for persistence and concurrency.
6. Enterprise System Integration: The complex work of connecting the metaverse platform to existing systems like PLM, ERP, or custom databases.
7. Hardware Procurement & Deployment: The cost of headsets, servers, and other necessary physical infrastructure.
8. Ongoing Maintenance & Support: A recurring cost for updates, bug fixes, and content additions.

How to calculate ROI for a metaverse project: Key performance indicators

Calculating the return on investment for a metaverse project requires moving beyond vanity metrics and focusing on tangible business outcomes. The KPIs will vary by use case, but a competent partner will help define and measure them. Authoritative industry research from sources like Gartner can help benchmark these expectations.

For a training simulation, KPIs might include:

• Reduction in employee onboarding time.
• Decrease in workplace accidents or errors.
• Improved knowledge retention rates compared to traditional methods.
• A successful virtual reality training simulation can demonstrate clear ROI in these areas.

For a collaborative design review application, KPIs might include:

• Reduction in physical prototype costs.
• Accelerated time-to-market for new products.
• Decrease in travel expenses for globally distributed teams.

How do companies integrate digital twins using Matterport Inc. and Cesium for Unreal?

Creating a high-fidelity digital twin often begins with capturing the real world. Companies like Matterport Inc. provide automated 3D scanning solutions that capture spatial data and imagery from physical locations. This raw data provides the foundation for the digital twin.

The next step is to bring this static data into a dynamic, real-time engine. Plugins like Cesium for Unreal allow for the streaming of massive geospatial datasets—including those captured by Matterport or other sources—directly into Unreal Engine. This enables the creation of a 1:1 scale, geographically accurate model of a facility or city. A skilled development partner can then overlay this visual model with real-time IoT data, creating a living, breathing digital twin for monitoring and simulation. Our guide on creating a digital twin in VR explores these workflows in greater detail.

How to ensure data privacy in a corporate metaverse using Decentralized Identifiers (DIDs)

Data privacy and security are paramount in a corporate metaverse. The platform will handle sensitive intellectual property, operational data, and employee information. A robust security model is non-negotiable.

Decentralized Identifiers (DIDs) offer a powerful solution. Instead of relying on a central server that can be a single point of failure or attack, DIDs allow each employee or device to have its own self-sovereign identity. Access to specific data or virtual locations can be granted via Verifiable Credentials, which are cryptographically signed attestations that a user can present without revealing unnecessary personal information. This approach enhances security, improves privacy, and gives the enterprise granular control over data access.

Scaling a metaverse application for users: A technical roadmap from 1k to 100k CCU

Scaling a metaverse application from a small pilot to a large-scale deployment requires a deliberate architectural strategy. A partner must be able to present a clear technical roadmap for this growth.

• 1k CCU: A monolithic server architecture may suffice. The primary challenges are optimizing the netcode and ensuring a single, powerful server instance can handle the load.
• 10k CCU: This typically requires a shift to a distributed microservices architecture. Different services (e.g., chat, physics, inventory) are handled by separate servers. Spatial partitioning or sharding is used to divide the virtual world across multiple server instances.
• 100k CCU: Achieving this scale requires advanced techniques like server meshing, where multiple servers dynamically collaborate to simulate a single, seamless area of the world. This is the domain of specialized platforms like SpatialOS or custom-built solutions that require elite-level backend engineering talent.

Section Takeaway: A financially viable enterprise metaverse solution is built on a foundation of transparent cost modeling, clear ROI metrics, and a scalable technical architecture designed for long-term growth and security.

Hardware & Performance Benchmarks for Corporate Metaverse Integration

Corporate metaverse integration is fundamentally constrained by hardware capabilities and performance benchmarks, where metrics like motion-to-photon latency, 6DoF tracking accuracy, and polygon count directly dictate the viability and effectiveness of an enterprise application. Selecting a development partner requires verifying their expertise in optimizing for target devices like the Apple Vision Pro or Varjo headsets. An application that is visually stunning but induces nausea due to poor performance is an operational failure.

A technically proficient partner does not just build to a spec sheet; they understand the deep interplay between hardware limitations and software design. They profile performance relentlessly, design assets with a strict performance budget, and can articulate precisely why certain hardware is suited for a specific use case.

What are the hardware requirements for the industrial metaverse: Apple Vision Pro vs. Magic Leap 2

The choice of hardware is dictated by the specific demands of the industrial use case. Devices like the Apple Vision Pro and Magic Leap 2 represent the high end of enterprise spatial computing, but they serve different needs. A partner specializing in Apple Vision Pro development for enterprise will leverage its high-resolution displays and powerful R1 chip for detailed visual work, while a Magic Leap specialist will focus on its large vertical field-of-view and open platform for industrial settings.

| Resolution | >4K per eye (23M total pixels) | 1440 x 1760 per eye | | Field of View (FoV) | ~100° Horizontal (estimated) | 70° Diagonal (largest in class) | | Processing | Apple M2 + R1 Chip | AMD Quad-core Zen2 | | Primary Use Case | High-fidelity visualization, collaboration | Frontline worker augmentation, training | | Operating System | visionOS | Android Open Source Project (AOSP) |

The official visionOS developer documentation provides the technical foundation for building applications on Apple’s platform.

Analyzing Motion-to-Photon Latency and 6DoF tracking on Varjo Technologies hardware

For high-precision industrial tasks like remote surgery or complex assembly guidance, two metrics are paramount: Motion-to-Photon Latency and Degrees of Freedom (6DoF) tracking accuracy. Motion-to-photon latency is the time delay between a user’s head movement and the corresponding update on the display. Anything above 20 milliseconds can cause simulation sickness. Varjo Technologies builds headsets renowned for their extremely low latency and high-fidelity displays, making them a benchmark for demanding enterprise applications.

6DoF tracking refers to the system’s ability to accurately track the user’s position (X, Y, Z) and orientation (pitch, yaw, roll) in 3D space. In an industrial setting, tracking errors of even a few millimeters can render an application useless. A development partner must be able to demonstrate their ability to work with and optimize for the high-precision tracking systems found in enterprise-grade hardware.

Benchmarking performance on mobile spatial computing with Qualcomm Snapdragon Spaces

While high-end headsets define the peak of performance, the future of scale lies in mobile spatial computing, powered by platforms like Qualcomm Snapdragon Spaces. Developing for these devices, such as the upcoming Samsung Galaxy XR, presents a different set of challenges. The primary constraints are thermal management, battery life, and limited processing power.

A firm specializing in mobile XR must be an expert in optimization. They need to demonstrate mastery of techniques like foveated rendering, asset simplification using Level of Detail (LOD) systems, and efficient shader programming. Benchmarking on these platforms involves profiling not just frame rate, but also CPU/GPU utilization and power draw to ensure a stable and usable experience over an extended period.

Key Performance Metrics to Demand: Polygon Count, Draw Calls, and Haptic Feedback Latency

When contracting a development company, the Service Level Agreement (SLA) should include specific, measurable performance metrics.

• Polygon Count: The total number of triangles in a scene. While modern engines can handle high counts, this remains a key budget item, especially for mobile.
• Draw Calls: The number of commands the CPU sends to the GPU to render objects. High draw calls can create a CPU bottleneck, even if the polygon count is low. Efficient batching is key to keeping this number down.
• Haptic Feedback Latency: For applications using haptic gloves or devices, this is the delay between a virtual interaction and the corresponding physical sensation. Low latency is critical for creating a believable sense of touch.

Demanding these metrics ensures that the final product is not only functional but performant and comfortable for the end-user.

The impact of Lamina1’s infrastructure on decentralized creator economies

Looking ahead, emerging infrastructure like Lamina1—a layer-1 blockchain designed specifically for the metaverse—will have a profound impact on the hardware and performance landscape. This type of infrastructure aims to offload some of the computational burdens of managing a decentralized economy and persistent state from local devices to the network itself.

While still in early stages, a forward-thinking development partner should be aware of these trends. Their ability to discuss how decentralized infrastructure could enable richer, more persistent experiences on lower-power hardware is a strong indicator of their strategic vision. This could lead to new architectures where creator economies can flourish without requiring every user to have a high-end computing device.

Section Takeaway: Rigorous performance benchmarking against specific hardware capabilities is non-negotiable for enterprise metaverse success, ensuring applications are not only visually impressive but also operationally viable and comfortable for users.

The process of selecting a metaverse development company in 2026 has evolved beyond evaluating creative portfolios. It is now a rigorous technical assessment akin to choosing an enterprise software partner or an aerospace engineering firm. The core decision hinges on moving past the allure of immersive agencies and identifying true spatial computing developers with deep, verifiable competencies in real-time 3D simulation, persistent world architecture, and enterprise system integration. This distinction is the primary determinant of a project’s success and its ability to deliver measurable business value.

A prospective partner must be vetted through the lens of their platform mastery, their unwavering commitment to the open standards of the interoperability stack, and their ability to translate technical specifications into a sound financial and operational plan. Proficiency in Unreal Engine or Unity is a baseline requirement; true expertise is demonstrated in their architectural command of these tools and their ability to optimize performance for specific, demanding enterprise hardware like the Apple Vision Pro or Varjo headsets. A commitment to open standards like USD and OpenXR is not a feature—it is a prerequisite for building a solution that is scalable, durable, and integrated, rather than a proprietary, disposable application.

Ultimately, the goal is to find a partner who can architect a solution that is not only technologically sound but also financially justifiable and operationally scalable. They must provide a clear roadmap from a pilot of one thousand users to an enterprise-wide deployment of one hundred thousand, with a security and data privacy model that meets the stringent demands of corporate governance. The companies that can satisfy these multifaceted requirements are the ones poised to build the foundational platforms of the industrial and corporate metaverse.

Frame Sixty is an engineering-first spatial computing development firm specializing in architecting and deploying high-value enterprise metaverse solutions. Our expertise spans industrial digital twins, large-scale training simulations, and corporate integration for the world’s leading platforms. We build the infrastructure for the future of work. Get in touch.