A new decentralized physical infrastructure network called Vangrid is raising capital to solve a critical bottleneck for Physical AI: access to verified, continuously updated spatial data at scale. The project, which closed a $9 million seed funding round backed by HashKey, Crypto.com Capital, Animoca Brands, and others, represents an emerging category within decentralized AI infrastructure where blockchain networks coordinate real-world data collection for autonomous systems like robots and AI agents.

What Problem Does Vangrid Actually Solve for Physical AI?

Physical AI systems, including robots and autonomous agents, require ground-level, continuously updated spatial data to operate effectively in the real world. Traditional mapping companies rely on expensive, centrally owned vehicle fleets to capture location information, while open crowdsourcing networks struggle to verify data quality and origin. Vangrid positions itself in the middle: contributors capture real-world locations on their smartphones, the network reconstructs them into 3D spatial models, and everything is verified on-chain before buyers can access it.

The model is demand-driven from day one, which CEO Robert Brighton emphasized as the key lesson from earlier decentralized physical infrastructure projects. "Reward emissions without a real revenue source do not survive," he noted. Instead, Vangrid's target customers, including Physical AI builders and defense organizations, commission specific locations, and contributors get paid for delivering verified captures.

Robert Brighton

"Contributors capture real-world locations on their smartphones, we reconstruct them into 3D spatial models and verify everything onchain. Buyers commission specific locations, contributors get paid for delivering verified captures," explained Robert Brighton, co-founder and CEO of Vangrid.

Robert Brighton, Co-founder and CEO, Vangrid

How Does Vangrid's Decentralized Data Network Actually Work?

• Data Collection: Users submit geospatial captures from their smartphones, with faces and license plates anonymized before data leaves the device to protect privacy.
• On-Chain Verification: Vangrid uses the Ethereum Attestation Service to verify batches of captured data and establish their origin before making them available to customers.
• Token-Based Incentives: Contributors are currently paid bounties, with a token planned for later in 2026 that will tie reward mechanics to the network's long-term sustainability.
• Blockchain Infrastructure: The network is built on Base, an Ethereum layer-2 scaling solution, to keep transaction costs low while maintaining security and verifiability.

As of the funding announcement, Vangrid's public explorer showed close to 100,000 verified captures, 200,000 grid events, and over 1,300 batch attestations. The project's web app and Android app are live, with an iOS app planned next. Brighton also noted that Vangrid has signed memoranda of understanding with strategic data partners and is in discussions with organizations building defense and robotics platforms, though he declined to identify the specific companies involved.

Why Does This Matter for Decentralized AI Infrastructure?

Vangrid's funding and structure highlight a shift in how decentralized AI infrastructure is being built. Rather than focusing solely on compute power or token incentives, the project addresses a practical gap: Physical AI systems need reliable, verified location data that traditional centralized providers control. By tokenizing the data collection process and using blockchain verification, Vangrid creates a market where contributors are compensated fairly and buyers can trust the origin and quality of what they're purchasing.

The funding round itself reflects this maturation. Rather than pure financial investors, Vangrid's backers included strategic partners who contributed infrastructure, technology, and exchange relationships. Brighton emphasized that "the round combines financial investors with strategic partners who contributed infrastructure, technology and exchange relationships rather than only capital." This structure suggests that decentralized AI projects are increasingly attracting partners who see long-term value in building production-grade systems, not just speculative token plays.

Brighton

Vangrid's team, currently 14 people based in Amsterdam, plans to hire across engineering and data operations in the coming quarters. The project began fundraising in August 2025, completed the round through multiple tranches in January 2026, and waited to announce until the network was live, signaling a focus on demonstrating real utility before seeking capital.

The broader implication is that decentralized AI infrastructure is moving beyond theoretical frameworks into production systems where real-world data, verified on-chain, becomes a tradeable asset. For robotics companies, autonomous agents, and defense organizations operating in GPS-denied or rapidly changing environments, networks like Vangrid could provide the continuous, trustworthy spatial data they need to operate at scale.