Pre-Seed

MetaGravity (Spinor)

Spinor’s high-performance blockchain, powered by a novel ZK-proving network, enables <10ms transaction times, supporting fully on-chain real-time applications like AI agents, online games, and digital twins. Every application and framework built on Spinor uses the $SPNR token for compute, which increases in scarcity with Spinor’s adoption and usage. This positions $SPNR as the primary resource for decentralized computing at the scale of the Internet.

Participate:

Round Type

Pre-Seed

Current FDV (Fully Diluted Valuation)

$50,000,000

TGE FDV (Fully Diluted Valuation)

$1,000,000,000

Current token price

$0.005 (Pre-Seed)

TGE token price

$0.10

Total Raise

$250,000

Listing

June 2025

Ticker

$SPNR

Blockchain Network

SPINOR

Mainnet Token Contract

Will be provided (Currently being audited)

Token Supply

10,000,000,000

Token Unlocks

25% at TGE, vesting for 36 months

Overview

MetaGravity’s Spinor is a Distributed Intelligent Supercomputer to power the next internet.

By solving the problem of locality in High-Performance Computing (HPC), Spinor transforms the global network of data centers and user nodes into a massive, decentralized supercomputer. With AI-driven autonomous operations, Spinor simplifies traditional DevOps, enabling even small teams or individuals to operate peta-scale platforms effortlessly. As a general purpose compute network, any decentralized applications can be built on Spinor, including ZK solver networks, AI agents, or blockchains. Spinor’s high-performance L1 blockchain enables <10ms transaction times, supporting fully on-chain real-time applications and real-time decentralised persistence.

The Quark HyperScale Engine, the first application built on Spinor, powers single-shard game worlds with hundreds of thousands of concurrent users while transforming performance and efficiency for all multiplayer games. It is already powering online games and simulations at record-breaking scale, with 10+ integrations already live. Beyond gaming, Quark can be applied to defense, enterprise digital twins, and world model AI training. Spinor’s architecture facilitates distributed systems that previously required entire companies and years to build.

Spinor isn’t just infrastructure; it’s the foundation for a future where anyone can build and operate Google-scale platforms with ease.

Every application built on Spinor uses the $SPNR token for compute, positioning $SPNR as the primary resource for distributed intelligent supercomputing.

Understanding the Market Evolution

The demand for high-performance distributed systems is accelerating as industries shift toward immersive, real-time, and compute-intensive decentralized applications.

The cloud for gaming market alone is projected to reach $130 billion by 2030, while the broader cloud computing market is expected to grow to $1.6 trillion by the same year.

Additionally, the metaverse market is forecasted to exceed $1 trillion by 2030, and the blockchain compute market is expected to hit $69 billion by 2032.

General simulation scaling capability that addresses online gaming and metaverse applications encapsulates the same technological capability that also addresses adjacent verticals like defense, AI training, and digital twins, which are all rapidly expanding and set to accelerate as simulation scaling becomes a possibility.

Existing infrastructure struggles to meet these demands due to high costs, complexity, and scalability limitations.

Spinor addresses these challenges with a platform that combines the speed of High-Performance Computing (HPC) on a distributed compute fabric with the resilience of decentralized networks, creating a new paradigm for hyperscale computing.

Current Market Challenges

There are fundamental performance and scaling limitations in current approaches to distributed computing on the cloud and across decentralized networks, which limit the ability to address the current challenges and unlock new opportunities across several large industries.

  • Cost and Complexity: Traditional systems require vast resources to scale and maintain, with very complex engineering and maintenance forming the overwhelming bulk of spend.
  • Scalability Limitations: Existing solutions fail to support real-time, globally distributed workloads at scale, limiting growth for industries like gaming, defense, and AI training.
  • Inefficiency in Decentralization: Current decentralized networks cannot meet the performance requirements of real-time applications due to high latency and low throughput.
  • Lack of World Models in AI: Transformer architectures and LLMs lack integrated world models, impeding progress in AI’s ability to observe, predict, and interact with complex environments. This creates a critical need for accurate, scalable simulation platforms to train next-generation AI for both virtual environments and real-world robotics.

For example, in cloud gaming alone, the cost to a single AAA studio for building a backend for online games is upwards of $21M and 36 months. Such a backend would be constrained to a highly specific sweet spot, narrowing the creative design space, engendering complex capacity planning, and frequently requiring expensive re-engineering when initial assumptions are exceeded by post-launch operating load and user behavior.

Traditional approaches to securing such simulations are also flawed – relying on costly server-authoritative compute and intrusive client-side mechanisms that ultimately prove futile. In 2019 alone, $29 billion in revenue was lost due to flaws in centralized anti-cheat technologies.

In the digital twin market, projected to reach $73.5 billion by 2030, high costs and inefficiencies in scalability remain barriers to adoption. Defense simulation, valued at $15 billion in 2024, faces challenges with latency and real-time performance in distributed systems.

Similarly, scientific computing, projected to surpass $50 billion by 2030, struggles with its acute dependence on supercomputing (HPC) clusters – a scarce resource – and is ultimately limited to the scale characteristics of the HPC cluster available to a given organization and research team.

Supercomputers themselves are costly national-scale initiatives that are pursued as a strategic imperative. They require high-density and efficient usage over a decade-long lifetime to justify the high capital investment.

Core Infrastructure

Spinor is a globally distributed supercomputing fabric that integrates data centers, clouds, and public internet nodes into a seamless, high-performance network.

Spinor’s foundation is the Spinor Compute Model (SCM) – a shared-nothing process model for distributed computing with locality as an intrinsic first-class concern. Spinor allows distributed data structures and algorithms to be built and operated.

Spinor schedules these computations across a vast network of compute nodes that are distributed and geographically dispersed. The locality intrinsics of Spinor deliver consistent, low-latency performance across diverse environments.

Spinor is a permissionless decentralized network and features foundational cryptographic primitives, which allow for decentralized technologies to be built on Spinor.

Key Capabilities

  • Distributed Process Model: The Spinor Compute Model (SCM) is a novel process model that eschews flawed shared-memory abstractions commonly employed by distributed systems and adopts a shared-nothing model that enables distributed computing with strong correctness guarantees. This enables distributed programs to be built on Spinor and even enables other parallel computing standards to be implemented on Spinor – for example, the MPI standard commonly used to program many supercomputing clusters.

  • Locality Model: Spinor features a locality model as an intrinsic. The Spinor Distributed Scheduler (SDS) is capable of allocating compute such that computations with strong compute affinity are localized with lower edge latencies, while computations scheduled farther apart have low computational affinity. This allows programs on Spinor to operate at the limit of information theory and physics.

  • Real-Time Blockchain: Spinor incorporates a real-time blockchain capability that uses Spinor’s locality model to allow for massive-scale parallel execution of transactions while keeping latencies low. Transactions are finalized with <10ms transaction times, thus exceeding the <30ms bar required for real-time applications. Spinor supports the <30ms bar required for on-chain persistence by real-time applications such as gaming, AI agent reasoning and memory, high-frequency DeFi, and more.

  • Cryptographic Primitives: Spinor incorporates several cryptographic primitives that support its chain capabilities as well as its general-purpose high-performance compute capability.

    • Validity Predicates: Allow certain computation graphs to be constrained to a range of acceptable outcomes, guaranteeing computational speed-up without compromising security.
    • Verifiable Off-Chain Computation: Spinor speeds up chain transactions via off-chain computations that can be confirmed on-chain instantly.
    • Off-Chain Compute Verification: Spinor introduces compute verification and moves this off-chain. This allows Spinor to use different forms of verification for different types of applications and algorithms. Combined with Spinor’s ability to run DePIN nodes as an intrinsic participant in the network, this enables verification of the output of a DePIN node rather than relying on third-party resource providers. This overcomes a weakness of current DePIN networks, which can be exploited to accept sub-standard resources, thus stealing yield and cheating network users.
    • Intents Capability: Spinor’s Intents enable users to predefine high-level actions or workflows (e.g., crafting, trading, or resource allocation) that execute autonomously when predefined conditions are met. This feature reduces real-time interaction, minimizes gas fees through pre-signed transactions, and supports parallel processing across decentralized nodes, making it ideal for real-time applications like gaming, simulations, and DePIN.
  • Autonomous Operations: Spinor’s AI-driven management eliminates the need for traditional DevOps, enabling small teams to operate at Google-scale.

Together, this ensures real-time distribution and synchronization across nodes, enabling performance-critical workloads.

Demonstration of Power

Distributed simulation for games is perhaps the hardest problem for distributed computing.

  • It has all the performance demands of traditional HPC – requiring raw compute performance.
  • A simulation has stringent global consistency requirements exceeding that of data-processing applications.
  • It is extremely latency-sensitive and must synchronize at a very fast rate – typically in 1-30 milliseconds.
  • It is memory-intensive – visual simulations such as games need to store and manipulate large amounts of information and transmit it at high volume.
  • It has the added burden of real-time execution, given the need to deliver a high-quality experience to the end user and fool perhaps the best pattern recognition engine in the known universe – the human visual cortex.

So far, billions of dollars and two decades have been invested by several large companies, including Amazon, Epic Games, Improbable, Microsoft, and others, to achieve large-scale simulation, without any encouraging progress.

Scaling a virtual world or game simulation across a distributed network is a harder problem than scaling a data-oriented problem such as a search engine or a social network, due to far more stringent performance, timing, and consistency demands required for a simulation over a data-oriented system.

Enter Quark

One of the first applications of Spinor’s capabilities is the Quark HyperScale Engine, designed for scaling massive online games and simulations.

Quark showcases Spinor’s ability to manage high-concurrency workloads with massive global consistency across a vast distributed network. It can efficiently support simulations with tens of thousands of concurrent users or networked AI agents per simulation instance.

Quark has been in closed beta with select enterprise-grade platform builders and large studios and is now in an advanced stage of development. It is ready for public access in Q2 2025.

Spinor’s broader potential extends far beyond gaming, but the power of Quark in cracking a multi-decade industry-wide problem demonstrates the strength of the underlying Spinor supercomputing capability.

Its core technology provides the foundation for AI training platforms, digital twins, defense simulations, scientific computing, distributed persistence, and high-frequency DeFi, establishing Spinor as the infrastructure of choice for the next-generation Internet.

Team

MetaGravity is led by veterans from the High-Performance Computing (HPC), cloud infrastructure, and games & simulation technology. The leadership team brings decades of experience in building and commercializing scalable technologies, with a proven track record of innovation and execution. The team is currently 65 members strong, with 56 in engineering.

A few key profiles below:

  • Rashid Mansoor: Co-founder and CEO. Rashid is a deep tech visionary with a history of solving the hardest problems in high-performance computing and cloud infrastructure. Prior to MetaGravity, he founded Adbrain, where he pioneered massive-scale real-time graph processing technology for cross-device profiling. He also led significant advancements in HPC and distributed systems at Hadean Supercomputing, where his innovations were implemented for high-profile clients such as Mojang, Microsoft, USMC, DoD DARPA, and the NSA. He holds several patents in supercomputing, cloud computing, and game engine technology.

  • Tobin Ireland: Co-founder and CBO. Tobin is an experienced entrepreneur and business strategist with a background in pure mathematics and econometrics, as well as an MBA from Stanford. He has served as a C-level executive at companies including News Corporation, AOL Time Warner, and Vodafone, and has held board director and chairman roles in multiple technology startups in London and Silicon Valley.

  • Karim Agha: VP of Technology. Karim is a distributed systems engineer, technology innovator, and leader who previously worked as a Principal Engineer at Apple, Microsoft, Goldman Sachs, Filecoin, and Terraform Labs. He leads the technology team responsible for implementing the Spinor network.

  • Rafal Gisko: Principal Engineer. Rafal has a PhD and over 15 years of experience in performance-critical computing. Before joining MetaGravity, he worked as a software performance and microprocessor engineer at Intel and conducted FPGA engineering and microelectronics research at both Intel and Imperial College London. At MetaGravity, he focuses on high-performance distributed systems and low-level optimizations for the Spinor network.

  • Kshitiz Batariya: Network Systems Engineer. Kshitiz studied Computer Science and Engineering at IIT, followed by a 13-year career working on low-level network technologies at Nevis and Cisco. He leads R&D efforts on Spinor’s high-performance network protocols.

  • Maya Sokolova: Blockchain Engineer. Maya is a world-class engineer specializing in decentralized networks. She has built several blockchains from scratch, including ggxchain, Oxygen, Boosty, and others.

  • Dave Cooper: Head of Engine. Dave earned a PhD in distributed systems, specializing in gossip protocols and high-coverage broadcast networks. He also served as an associate professor at the Beijing University of Aeronautics and Astronautics. As a former game developer, he has won six industry awards for his creations. At MetaGravity, he focuses on guiding network correctness and optimization teams.

  • Toby Allen: VP of Product. Toby is an experienced games industry executive and VR/XR expert, having held roles as CPO, CSO, and VP of Product. He led the Hololens product team at Microsoft, worked on game titles such as Mafia III, Sonic & Sega All-Stars Racing, and TopSpin 4, and has been involved in major smart city and digital twin projects in the Gulf and Asia. He has also lectured on product development at University College London.

Platform Economics

The $SPNR token underpins all Spinor operations, capturing value from compute workloads and decentralized infrastructure usage. $SPNR is used for gas fees on-chain as well as for every cycle of compute on the Spinor network.

Spinor’s token economy is designed for:

  • Demand Growth: Driven by gaming, AI training, and real-time applications.
  • Value Accrual: Each application built on Spinor contributes to the token’s ecosystem and drives demand for the token, positioning $SPNR as a billion-dollar asset.
  • Decentralized Incentives: Tokenized rewards encourage participation in Spinor’s DePIN network, expanding its global footprint.

The demand for $SPNR and its commensurate scarcity will rise as more applications are built on Spinor and as per-application usage grows.

GTM Partnerships

MetaGravity has formed partnerships with major hardware infrastructure providers, decentralized networks, and tech giants to help bring the platform to market with global distribution. MetaGravity will continue to grow and expand this list as new partnerships are announced.

  • Tech Giants: Amazon, Google, Microsoft
  • Bare Metal Providers: GCore, Servers.com, Leaseweb, GameHosting, G42
  • Decentralized Networks: Aethir, YOM, Shaga, Immutable
  • Games Technology: Epic Games, Unity Technologies, Xsolla

Development Roadmap

  • 2024: Public launch of Spinor’s foundational infrastructure.
  • 2025: Expansion into adjacent verticals, including defense and biotech.
  • 2026: Release of additional frameworks, such as AI agent platforms and GPU-powered DePIN compute.

Risk Considerations

  • Market Adoption: Success depends on widespread adoption of decentralized computing paradigms.
  • Operational Challenges: Scaling Spinor’s infrastructure globally requires significant coordination. This is being mitigated by broad-based partnerships with all major cloud and bare metal data center and network providers, as well as game engines.
  • Competition: Emerging players in HPC and decentralized computing may introduce competing solutions.

Conclusion

Spinor is a foundational technology for the next era of distributed computing. By addressing the challenges of scalability, decentralization, and cost, it empowers industries to achieve unprecedented efficiency and innovation.

The $SPNR token aligns economic incentives with platform growth, ensuring long-term sustainability and value creation.

Spinor is not just a platform; it is the backbone of a new digital economy, ready to transform gaming, AI, and beyond.

Investors

The Spartan Group – 9,5 млн.$

Ryze Labs (Sino Global Capital) – 9,5 млн.$

Market One Capital – 9,5 млн.$

Launchpads

Tier-1 TBA

Exchange(s)?

Tier-1 TBA

Expected listing time

June, 2025

* Past performances do not indicate future success.

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