Nesa, the enterprise AI blockchain that processes a million inference requests every day through a network of more than 30,000 miners worldwide, is partnering with Billions Network to provide authenticated identity to every human and AI agent running on its infrastructure.
The customers using AI on Nesa include P&G, Cisco, Gap and Royal Caribbean. The AI these companies use has always been private by design. What has been lacking so far is accountability. Billions Network solves that, on two levels.
The problem Nesa encountered
True AI at scale creates an accountability gap that most infrastructure providers don’t openly acknowledge. When thousands of AI agents process requests, make decisions, and interact with systems across the organization, the question of who is responsible for each agent’s behavior becomes truly difficult to answer. The officer ran. Something happened. But who built it, who authorized it and who is responsible if something goes wrong?
That question is more important at an enterprise level than in small deployments, where one team can manually track each agent. Nesa’s infrastructure manages AI for some of the largest companies in the world. With a million inference requests per day among 30,000 miners, manual accountability is not a workable approach.
The accountability layer should be structural, built into the way agents work, not added through documentation and internal processes that can be bypassed or forgotten.
What Billions Network does
Billions Network is built around two different authentication issues. The first is human verification. Using a phone and government ID, without the need for eye scans or biometric hardware, Billions verifies that there is a real, responsible person behind each AI agent.
The network has already verified 2.3 million people worldwide and counts HSBC and Sony Bank among its institutional partners. That track record in high-stakes financial environments is important because it demonstrates that the verification process meets the standards that regulated institutions have found acceptable.
The second is AI agent authentication through the Know Your Agent framework, which Billions calls KYA. Each agent working on a KYA network is given a verified identity that records who built it, who owns it, and who is responsible for its behavior. In an ecosystem where thousands of agents are active simultaneously, KYA makes every interaction traceable.
If an agent produces poor output, makes an unauthorized decision, or interacts with a system it shouldn’t, the chain of accountability is recorded from the beginning rather than being reconstructed after the fact from incomplete logs.
The combination of human and agent verification creates a complete picture of accountability within an enterprise AI implementation, something that has been described as necessary for years but rarely implemented at scale.
What the partnership delivers for Nesa’s business customers
Nesa’s AI infrastructure remains private. That privacy is by design and is a feature for enterprise customers who cannot expose proprietary models, training data, or inference results to outside parties.
The Billions integration does not change that. What it adds is a layer of accountability that works without compromising the privacy features that business customers depend on.
For companies like P&G and Cisco running production AI through Nesa’s infrastructure, the practical outcome is that every agent operating in their environment now has a verified identity. Internal compliance teams, regulators and auditors can ask who was responsible for a specific agent’s behavior and get a traceable answer instead of just shrugging their shoulders. Increasingly, that responsibility is not optional.
Regulatory frameworks around AI governance are developing rapidly, and companies that cannot demonstrate accountability for their AI implementations will face pressure from regulators, boards and insurers, regardless of how well the underlying technology works.
Why Mobile-First Authentication at This Scale Matters
Billions Network’s mobile-first approach to human verification is especially worth mentioning, as it determines how accessible the verification process is at scale.
Authentication systems that require special hardware, orbs, or complicated enrollment processes slow everything down and quietly lock out people who don’t have access to them. Billions bypass that completely. A phone and government ID. That is the registration process. In a business context, everyone who needs to be authenticated already has both.
Because there are already 2.3 million verified people on the network, the infrastructure for that verification is proven rather than theoretical.
Last words
Nesa’s enterprise AI infrastructure now has an identity layer that includes both the people who authorize AI agents and the agents themselves. Private AI with verified accountability is a combination that enterprise implementations needed and mostly lacked.
Billions Network’s KYA framework and human verification infrastructure, already proven at scale at HSBC and Sony Bank, bring that combination to an infrastructure that processes a million inference requests every day for some of the world’s largest companies. The standard has been set.