EDA Foundation · Global digital economyValue assets without borders

From Technology AssetsTo Value Without Borders

Connecting global AI-industry value and exploring the digitization of real RWA rights. Expanding the reach of digital-finance services through open collaboration, on-chain technology and long-term research.

Discover EDA Foundation Explore NVDA assets
  • AI technologyAI × RWA
  • Tokenized assetsNVDA
  • Open ecosystemOn-chain

Technology × Assets × Global access

An open ecosystem, starting from the architecture of collaboration

Ethereum's layered model and Octant's public-goods funding show two paths toward open collaboration in the digital economy.

  1. Protocol layer

    Protocol rules and technical foundations.

  2. Access layer

    Product access and service interfaces.

  3. User layer

    Service use and real demand.

  4. Community layer

    Open co-creation and regional collaboration.

  5. Institutional layer

    Professional institutions and compliance services.

Public goods · Community choice

Octant

Public-goods support mechanism

Created by the Golem Foundation and launched in 2023, Octant funds public goods through community participation, allocation choices and long-term support, driving open collaboration.

  1. 01Public goods
  2. 02Community choice
  3. 03Long-term support

EDA Foundation
Connecting technology value with digital finance

We study RWA, artificial intelligence, blockchain and token economies, with a focus on real-asset rights, infrastructure and global applications.

EDA · A foundation for digital value

  • Open collaboration
  • Technology assets
  • Digital finance
  • Global applications
01/RWA assets

RWA asset research

Tech equities, real-world asset rights and on-chain representation.

02/AI industry

AI industry connection

GPU compute, data services and AI industry applications.

03/On-chain finance

On-chain finance

Real custody, verifiable records and liquidity models.

04/Global network

Global ecosystem collaboration

Connecting users, communities, service providers and professional institutions.

The Foundation ×
a China AI operating system

The foundation's industry direction leads; AI compute, data services and commercial applications follow into real delivery.

EDA FoundationThe foundation coordinates technology directionTechnology roadmapCorporate governanceIndustry resources
China operating entityA China team delivers AI products and compute servicesChina operating company: proposed to be controlled by the foundationentity details to follow
  • GPU resource management
  • AI model training
  • Inference service delivery
  • Enterprise compute procurement
01/Business deliveryProduct delivery that answers real demand

A technical team for GPU compute scheduling, model training and inference services, building measurable, deliverable AI service products.

02/NVIDIA InceptionConnecting with the NVIDIA Inception programme

Once it meets the requirements, the China company will assess and apply for NVIDIA Inception, for technical training and development resources.

Visit NVIDIA Inception

The operating company's name, registered entity, ownership and NVIDIA Inception membership are subject to formal documents.

Foundation governance and management team

Governance officers, proposed management and technical advisors, as provided for this site.

Role
Institutional governance and legal representative.
Background
Institutional documents dated 31 October 2026 list Jay Carpenter as President, Director, Secretary and Treasurer of Electronic Design Automation Foundation, and record him as a member. The record supports his governance and management roles; it does not yet include material that verifies a personal career in software development, capital markets or the AI industry.
EDA responsibilities
Foundation governance, decisions on major matters, custody of institutional documents, authorised signing and coordination of external legal services.
Role
Strategic leadership and global business.
Background
The proposed CEO should have senior management experience at a fintech or Web3 platform, with command of product commercialisation, cross-regional operations, budgeting and institutional partnerships, able to turn RWA research, AI compute services and community business into deliverable operating plans. The candidate's previous employer, projects and years of service are to be added after formal appointment.
EDA responsibilities
Set annual strategy and budget, establish operating KPIs, organise commercial product development and chair business-partnership reviews.
Role
Smart contracts and on-chain architecture.
Background
The proposed CTO should have experience in smart-contract development, the EVM ecosystem, on-chain data indexing, wallet connection and technical security, and understand custody and rights-verification needs in asset tokenization. Suited to lead protocol engineering, backend, infrastructure and security-audit teams and to standardise development and operations. Education and project history are to be confirmed from the candidate's materials.
EDA responsibilities
Technical roadmap, protocol implementation, security audits, on-chain data, asset interfaces and engineering quality control.
Role
Chief AI & Protocol Advisor
Background
Davide Crapis works on the intersection of protocol economics and AI at the Ethereum Foundation. Public profiles say he joined its research team around 2022, first on protocol economics and incentive mechanisms, and then led the foundation's dAI Team, positioning Ethereum as a coordination and settlement layer for an AI-agent economy. His research covers AI-agent identity, reputation and verification; he is a co-author of ERC-8004 "Trustless Agents" and has worked on zero-knowledge API billing, AI-system security and multi-agent economic interaction. The Ethereum Foundation's team page lists him as Head of AI, and his published research can be checked.
EDA responsibilities
AI technology strategy, blockchain protocol architecture and smart-contract advice, with emphasis on joining decentralised AI, agent payment protocols and RWA infrastructure.
Role
Chief RWA & Blockchain Strategy Advisor
Background
Johann Kerbrat is Senior Vice President and General Manager of Crypto and International at Robinhood. Robinhood's official biography confirms earlier engineering roles at Airbnb and at the privacy-focused crypto project Iron Fish, and that he founded e-commerce and payments platforms; he holds an MSc in software engineering from Oxford Brookes University. Robinhood's 2021 engineering-team profile shows him leading Crypto Engineering. In the 2026 Robinhood Chain testnet and global product announcements he commented on on-chain RWA, DeFi liquidity and digital-asset infrastructure.
EDA responsibilities
Strategic advice on RWA digitization, stock-tokenization architecture and on-chain financial services, focused on the Robinhood Chain ecosystem, digital-asset liquidity and cross-market applications.

Starting from NVDA, seeing the value of the AI industry

Nvidia represents the long-term trajectory of GPU computing, the CUDA developer ecosystem and data-center AI infrastructure.

AI leader / public equity

A global entry point to AI technology assets

NVDA is widely recognised and can serve as a representative subject for studying stock tokenization and technology finance.

Technology × capital

From technology growth to asset digitization

AI industry growth drives demand for asset services, but Nvidia shares, stock tokens and the EDA token do not automatically move together in price.

Visit NVIDIA
  1. 01/GPU

    High-performance computing

  2. 02/CUDA

    Developer ecosystem

  3. 03/Data center

    Model training and inference

Tokenized NVDA
A new entry to technology assets

From GPU compute to capital markets and on to RWA tokenized products, EDA studies the links between asset rights, issuers and trading venues.

Global tokenized NVDA · figure cited in the source

$154M

Figure as cited in the source copy; its as-of date and product scope must be checked against the original data source.

  1. Tech equities
  2. Rights mapping
  3. On-chain services
01/AI industry

AI industry foundation

GPU, CUDA and data-center AI: the industrial starting point for studying global technology assets.

02/Multi-issuer

Multi-platform tokenization

Rights, custody and redemption terms differ by issuer and must be checked one by one.

03/RWA connection

Connecting RWA applications

Researching asset information, on-chain liquidity and lawful market access.

NVDA technology value × RWA asset connection

AI industry trends, the legal rights behind stock tokens and differentiated trading-pair strategy form the three core research areas of the EDA asset ecosystem.

01AI value

Nvidia industry value

GPU compute · CUDA ecosystem · data-center AI

  • Long-term growth driversModel training, inference and enterprise AI deployment.
  • Technology resourcesInnovation ecosystems such as NVIDIA Inception.
  • Price relationshipMarket research does not mean EDA and NVDA prices are linked.

02RWA rights

Stock tokenization path

Asset research → rights verification → on-chain services

  • Asset basisAsset information and the issuing entity.
  • Rights verificationLegal rights, custody proof and redemption.
  • Trading basisContracts, liquidity and risk measurement.

03Pair strategy

NVDA trading-pair logic

Technology-asset exposure and stablecoins carry different risk structures

  • NVDAPrice volatility, custody, impermanent loss.
  • StablecoinsDe-pegging, freezes, regulatory change.
  • Selection principleChoosing a trading pair means weighing both kinds of risk.

Value connection path

  1. AI compute industry
  2. NVDA stock tokenization
  3. Rights verification and on-chain liquidity
  4. Global digital-finance applications

Robinhood, and the fintech direction it represents

From mobile brokerage to tokenized assets and on-chain infrastructure, we observe how fintech is moving into digital-asset markets.

  • Markets

    Diversified financial products

    Trading services for stocks, options and crypto assets.

  • Tokenization

    Stock tokenization exploration

    Exploring digital securities and rights-service interfaces.

  • Infrastructure

    On-chain financial technology

    Attention on smart contracts and on-chain asset representation.

EDA's connection

EDA's entry logic

We study Robinhood's fintech and stock-tokenization direction, and explore a workable link between NVDA-related rights, RWA services and global users.

Visit Robinhood
Robinhood operating snapshot · figures from the source copy

Operating data overview Unit: US$ 100 million

YearRevenueNet incomeBarsRevenueNet income

Figures as provided in the source copy; check against Robinhood's financial reports before citing.

Where several industry trends meet, EDA takes shape

Open-ecosystem thinking, AI-industry assets, RWA financial tools and digital infrastructure form a long-term direction for the global digital economy.

Open ecosystemETH · Octant

Open collaboration and public-goods support

OrganizationEDA Foundation

Industry research and cross-field services

Asset directionNVDA · RWA

AI technology assets and rights digitization

FintechRobinhood

Digital securities and on-chain finance

Global digital-finance connection

With the foundation's organizational collaboration as the base, the AI technology industry as the direction of value and NVDA stock tokenization as the asset entry point, EDA connects global digital finance with application services.

  • Real asset rights
  • AI industry demand
  • Global collaboration
  • Digital-finance applications

EDA ecosystem collaboration · connecting global technology value

With tokenized NVDA assets as the starting point, we connect open collaboration, the RWA community and AI service demand to build a long-term ecosystem for token applications.

OrganizationEDA FoundationEcosystem organization and RWA service links
Public goodsOctantPublic-goods support and community collaboration
BlockchainRobinhood ChainStock tokenization and on-chain financial infrastructure
01/

NVDA trading pair

Technology-asset exposure · RWA-related liquidity

02/

Global RWA community

Ecosystem participation scenarios for users worldwide

03/

AI compute and payments

Model training, GPU services and digital settlement

04/

EDA token ecosystem

User services · application expansion · value discovery

Ecosystem synergy direction

EDA Foundation proposes to work with Octant to explore an EDA token ecosystem on Robinhood Chain around NVDA-related assets, for global RWA users and AI payment services.

Compliance governance · across the whole process

From business admission and customer identification to transaction monitoring, a risk-governance system that can be reviewed, traced and sustained.

  1. 01/Business scope

    Business scope and licence identification

    Check the nature of RWA, on-chain services and digital payments; confirm market access, applicable rules and operating-region requirements one by one.

  2. 02/KYC · AML

    KYC and anti-money laundering

    Customer due diligence, sanctions screening and risk grading; an AML policy, internal controls and staff training.

  3. 03/On-chain risk

    Transaction monitoring and risk handling

    On-chain fund monitoring, anomaly alerts, assessment and reporting of suspicious activity, so key records stay traceable.

  4. 04/Continuous review

    Independent review and ongoing disclosure

    A named compliance officer, periodic review, independent checks and record retention; public operating and risk information kept current.

From discovering AI technology value
to connecting global assets

Making quality technology assets easier to understand.

Giving real financial rights a trustworthy digital expression.

Building long-term links between technology, services and global communities.

  • Real assets
  • Open technology
  • Global access

EDA Foundation · Value beyond borders

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