Gradient Network is pioneering a decentralized AI infrastructure for open-source intelligence. We are determined to build a global foundation that supports the distribution, evolution, and embodiment of intelligence.

We’re proud to announce the completion of our $10M seed funding round, led by Pantera Capital and Multicoin Capital, with participation from HSG (formerly Sequoia Capital China) and other distinguished partners. This milestone is further supported by leading angel investors and advisors from spaces across AI, crypto, and beyond.

In tandem, we’ve refreshed our brand identity to better reflect our core values and ambitions. This brand evolution underscores our commitment to transparency, decentralization, and continuous innovation as we shape the future of AI.

The Imperative for Decentralized AI

As AI becomes integral to society, concerns around privacy, equity, and power concentration grow increasingly urgent. Today’s AI capabilities are largely concentrated in a few centralized platforms, posing significant risks of privacy infringement, exclusion, and monopolistic control.

Decentralizing AI emerges as a vital response to these pressing challenges. By distributing control over data, compute, and algorithm development across a diverse network of participants, decentralized AI fosters transparency, fairness, and security. This shift encourages broader innovation while minimizing systemic risks and dependency on centralized gatekeepers.

A comprehensive rethink of the AI stack starts with:

Decentralized data governance
Collaborative compute frameworks
Open and transparent algorithm development

This approach not only protects user privacy and democratizes access to AI but also mitigates the systemic biases entrenched in centralized systems. Ultimately, decentralization isn't just beneficial; it is essential to building an equitable, transparent, and sustainable future for artificial intelligence.

Building the Base Stack for Decentralized AI

At Gradient Network, we believe that decentralized intelligence requires a few foundational primitives: compute, communication, and orchestration. Together, they form the backbone of a new machine internet—one that is open, sovereign, and powered by millions. To bring this vision to life, we’ve set the stack in motion with two foundational building blocks—Lattica and Parallax.

Lattica: The Universal Data Motion Engine

A robust, efficient peer-to-peer connectivity layer is essential for enabling decentralized compute of any kind. Over the past few months, in pursuit of a global peer-to-peer content delivery network (CDN), we unintentionally conducted one of the largest real-world experiments in internet connectivity mapping as the peer-to-peer CDN approaches commercialization. This was made possible by millions of participants across our Sentry Node network, showcasing the vast potential of decentralized systems powered by community engagement.

Today, that vision has evolved intoLattica—our universal peer-to-peer data communication protocol and the connectivity backbone of the decentralized AI stack. Lattica will be released in the coming days.

Parallax: The World Inference Engine

As agentic AI applications proliferate, the demand for scalable inference infrastructure is accelerating, alongside rising needs for data sovereignty, reliability, and cost efficiency. Parallax is our response: a decentralized inference protocol purpose-built for this new paradigm.

What sets Parallax apart is its ability to go far beyond running small models on local endpoints. It enables large foundation models to be decomposed, distributed, and collaboratively executed across a global mesh of heterogeneous devices. This is inference, recomposed.

To support this, Parallax is designed with a set of critical capabilities:

Scalability: Harnesses a global mesh of compute nodes—across diverse device classes—to scale inference beyond centralized limits.
Modular Execution: Runs large models as orchestrated segments across distributed nodes, enabling flexible, fault-tolerant deployment.
Privacy-Preservation: Ensures user data remains secure and confidential, honoring one of the core motivations to decentralize inference in the first place.
Verifiability: Enables transparent validation of inference outputs, reinforcing trust in decentralized systems.
Reliability: Delivers fault-tolerant, consistently performant inference, even in highly distributed and heterogeneous environments.

Like Lattica, Parallax will debut later this week.
Lattica and Parallax are just the beginning. More groundbreaking protocols are on the horizon, each reinforcing our commitment to a truly decentralized AI runtime.

Join the Movement

This marks just the start of our expedition toward a future where intelligence is decentralized and open to all. There are new protocols to be built, resources to be unified, and applications to be developed. We warmly invite researchers, developers, and the community to join us to decentralize the world’s intelligence, for everyone.

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Contact us: contact@gradient.network