Matt Wright, Co-Founder & CEO of Gaia – Interview Series

Matt Wright has spent a decade turning decentralized governance from theory into practice. A former ConsenSys Director and enterprise blockchain strategist (J.P. Morgan, Mastercard), he’s driven by a belief that organizations thrive when ownership is shared. Beyond scaling developer communities and launching DAO NYC, he’s an advocate for mentorship programs that onboard underrepresented talent into Web3. “Decentralization isn’t a feature—it’s a cultural shift.”

Gaia is a decentralized AI platform that enables users to build, run, and monetize personalized AI agents using their own knowledge and data. Each node operates independently with chatbot interfaces and API compatibility, while domains manage load balancing and curation. The system emphasizes privacy, customization, and rewards contributors through a built-in incentivization model.

You’ve worked at the intersection of blockchain, developer ecosystems, and financial institutions for years—what was the turning point that made you want to build Gaia?

I’ve had the privilege to work in both legacy finance and the decentralized world, helping build communities at JPM and Consensys, exploring blockchain and smart contracts. No matter where I went, the thread was the same: talented people could create powerful tools, but the benefits and control almost always ended up centralized. I realized the only way to truly change this was to design a system where ownership and value flow directly to the people doing the work. Gaia is my answer to that challenge: a network where anyone, whether they’re an analyst or a builder, can capture and share the value they create.

How does Gaia’s decentralized AI infrastructure address the specific needs of the financial sector, particularly concerning data privacy and compliance?

Gaia’s infrastructure was designed to meet the security and regulatory demands of the world’s most highly regulated sector. At its core, Gaia leverages federated learning and secure multi-party computation to ensure that sensitive financial data never leaves the premises of an institution. AI models are dispatched to train on private data locally, with only aggregate model updates returning to the network. This eliminates the risk of data exfiltration, satisfies GDPR and similar privacy regulations, and dramatically reduces the attack surface for cyber threats. Every model’s lifecycle and data access event is immutably recorded, making audits and regulatory reporting straightforward. This framework lets financial institutions collaborate on better models, like for fraud detection or risk analytics, without giving up control or confidentiality.

In what ways can financial institutions leverage Gaia to enhance their AI-driven services while maintaining regulatory standards?

Gaia provides a compliant pathway for banks, asset managers, and fintechs to build, test, and deploy advanced AI-driven services. Firms can develop highly specialized AI agents; think of agents that generate regulatory reports, automate transaction monitoring, or run predictive analytics on client portfolios—entirely within their own secure environments. Gaia’s distributed approach also means that institutions can integrate external insights or collaborate on industry-wide problems, all without violating data-sharing agreements. Every action and model decision is logged with provenance and access controls, which simplifies regulatory checks and empowers financial firms to move fast without taking on new compliance risk.

What opportunities exist for financial professionals to monetize their proprietary knowledge through Gaia’s platform?

This is one of the pieces I’m most excited about. For decades, if you wanted to scale your expertise as, say, an investment analyst, you wrote reports or maybe advised a fund. Gaia makes it possible to capture that expertise in an AI agent, trained on your methods, running your proprietary signals, and then make it available on the network. Anyone who wants access to your insights pays for it, either as an API call or an embedded service. You’re no longer limited by hours in the day or traditional consulting constraints. Suddenly, your edge is both protected and productized, and you can serve clients you’d never reach otherwise.

Gaia recently introduced Gaia Domains as a way to give AI agents unique identities and create staking-based reward structures. What role do these domains play in incentivizing network activity, and how do you envision their commercial and strategic impact?

Domains serve as curated marketplaces and directories for agents focused on particular fields, like credit risk or compliance. Agents are assessed through technical and peer review, ensuring only high-quality tools remain active. Domains make it easy for institutions to find and trust the right solutions, speeding up deployment and raising industry standards.

What mechanisms are in place to prevent misuse or unethical deployment of AI agents within the financial domain?

Gaia employs rigorous technical verification, including automated checks to confirm each agent operates as intended with authorized data only. Noncompliant agents are isolated and reviewed. The platform supports both internal and third-party audits, while maintaining a complete, immutable log of all agent actions. These measures build trust and accountability for every user.

What is Gaia’s vision for the role of decentralized AI in transforming financial services over the next decade?

I see Gaia helping rewrite the map of financial inclusion and the future of work. Imagine a world where a community bank in Vietnam can deploy a loan approval agent as smart as anything in Manhattan, or an independent analyst in Poland packages their best investment strategy as an agent for global clients. We’re already seeing the seeds of this in our pilots, whether it’s African fintechs using Gaia for auditable credit scoring, or Latin American analysts offering yield optimization tools on-chain. Over the next decade, I think we’ll see DeAI level the playing field, letting anyone, anywhere, compete and earn based on their expertise, not just their location.

How does Gaia plan to stay ahead in the rapidly evolving intersection of AI, blockchain, and finance?

Our approach is to stay open, flexible, and deeply connected to our community. Gaia’s code is open source, so anyone can inspect, build, or improve it. We focus on interoperability, making it easy to connect Gaia to both traditional and decentralized finance systems. And we listen, through partnerships, hackathons, and direct engagement with developers and institutions, to make sure we’re always addressing real needs. That’s how Gaia stays not just relevant, but leading in a space that moves faster every year.

Thank you for the great interview, readers who wish to learn more should visit Gaia.