Aurora

Do you know where your AI has been?

Your AI learned from somewhere.
Verifiable data means you can vouch for it.

AI Partners on Walrus

The problem

AI is eating the world, but its infrastructure remains stuck in the past. Centralized servers, unverified training data, and minimal accountability for where data comes from are all major risks.

The solution

Walrus makes datasets, models, and content verifiable by default, so developers can secure AI platforms from potential regulatory non-compliance, inaccurate responses, and erosion of user trust.

87%
of AI projects fail before reaching production due to data quality problems (Source)
60%
of AI projects will be abandoned due to lack of AI-ready data (Source)
45%
of business leaders cite concerns about data accuracy of bias as a leading barrier to scaling AI initiatives (Source)

Time to integrate?

Opportunities

The future of AI
is verifiable

What can you do with Walrus?

Deploy autonomous AI agents

Build offchain agents with onchain permissions, enabling new, automated workflows and payments.

Create AI agents with identity & memory

Give agents memory and verifiable reputations, so users can recognize, trust and interact seamlessly.

Train models on verified, licensed content

Access high-quality datasets from publishers with cryptographic proof of permissions, ensuring transparent and compliant AI training.

Store verifiable training datasets

Build pipelines with cryptographic proof of data provenance and history.

Prove authenticity of AI outputs

Link responses back to the model, prompt, and training data used.

Unlock the AI agent revolution

Aurora

Start building provable AI