DAI (Decentralized AI Application)
A DAI (Decentralized AI Application) is a fully deployed and operated AI product on Nesa. Rather than exposing users to protocol-level complexity, a DAI presents a familiar product interface while running on decentralized inference, staking, and incentive infrastructure.
Nesa serves as the underlying platform that enables AI teams to launch, operate, and scale AI applications without needing to build blockchain integration, inference orchestration, or incentive mechanisms from scratch.
DAIs are designed to feel like real AI companies, not protocols.
Note: Creating and managing DAIs is currently available to Pro users only.

Nesa as Infrastructure for AI Companies
Nesa provides end-to-end infrastructure that supports the full lifecycle of a DAI, from initial launch to long-term growth. This includes decentralized inference, on-chain coordination, incentive design, and user-facing product primitives.
By abstracting away infrastructure complexity, Nesa allows teams to focus on model quality, product experience, and user adoption, while the platform handles execution, coordination, and trust.
Why Build DAI on Nesa?
Building an AI product is no longer just about model quality. Teams must also solve inference cost, distribution, credibility, and long-term alignment. Nesa provides an integrated platform that addresses these challenges natively, allowing DAIs to launch and grow as real AI businesses rather than standalone demos.
Subsidized Inference
Nesa can subsidize inference costs for DAIs during early stages, lowering the barrier to user adoption and experimentation. This allows teams to validate product value, collect usage signals, and iterate with real users before usage-based revenue or token incentives fully materialize—all while running on decentralized inference infrastructure.
Visibility and Discovery
DAIs launched on Nesa can be featured and spotlighted across the platform, giving them immediate exposure to an existing user base.
Discovery is driven by observable signals such as activity, engagement, and community participation rather than opaque curation. This helps high-quality DAIs reach users faster without relying solely on external marketing channels.

Token Launch (Testnet)
Each DAI can launch its own token on Nesa’s EVM chain. All token-related functionality is currently on testnet and intended for experimentation and iteration.
Token design is flexible and may support governance, incentives, or future access control, depending on the DAI’s goals and evolution.
Staking and Credibility
Users can stake $NES (from Nesa’s Cosmos chain) against a DAI to signal confidence in its long-term value.
Staking functions as a public credibility signal:
Higher stake reflects stronger community confidence
DAIs with meaningful stake may receive increased visibility or trust signals
Stakers align their incentives with the long-term success of the DAI

Takeaway
Nesa allows AI teams to combine decentralized inference, native distribution, token experimentation, and staking-based trust into a single product surface—without building the underlying infrastructure themselves.
Start building DAI with Nesa today!

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