Solana’s RWA TVL passes $1 billion through its Ondo partnership, while ZKP’s real-world AI verification model highlights how verified compute is shaping the bestSolana’s RWA TVL passes $1 billion through its Ondo partnership, while ZKP’s real-world AI verification model highlights how verified compute is shaping the best

Solana’s RWA Push Gains Momentum While Early Buyers Turn To ZKP’s Verifiable AI Infrastructure

5 min read
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Institutional interest in Solana has grown after its expanded partnership with Ondo Finance, which brings over 200 tokenised real-world assets onto the network. With the RWA sector growing over 250% in 2025 and Solana’s RWA TVL now above $1 billion, the network is increasingly seen as a bridge between on-chain finance and traditional markets.

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Meanwhile, Zero Knowledge Proof (ZKP) is being evaluated for its role in real-world AI verification, where zero-knowledge cryptography enables machine learning systems to produce verifiable outputs without exposing underlying data or models. ZKP’s approach to verified computation is emerging as a critical layer for building trust in AI-driven decision systems.

Solana, Ondo, and the Rise of Real-World Assets

The RWA sector has become one of the strongest growth narratives in crypto, transforming tokenisation from an experimental concept into a practical financial infrastructure. Solana’s partnership with Ondo reflects this institutional shift, allowing market participants to access tokenised equities, treasuries, and other traditional assets directly on-chain. Key structural indicators include:

  • Solana’s RWA TVL has surpassed $1 billion.
  • Over 200 tokenised assets are now live through Ondo.
  • Around $200 million is attributed to public equity exposure.
  • Institutional capital now represents a growing share of on-chain flows.

This development places Solana within a broader institutional trend where blockchain is increasingly used as a settlement infrastructure.

Solana’s Market Position and Price Outlook

Solana has shown relative resilience. SOL has maintained support above the $120 level for over ten weeks, indicating sustained buyer interest even amid broader market volatility.

On-chain activity also reflects this institutional shift. RWA inflows are now one of the most important growth metrics for the network, complementing traditional indicators such as DeFi TVL and transaction volume. ETF-related inflows further reinforce the narrative that Solana’s 2026 cycle is becoming more institutionally led.

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Solana’s price outlook is increasingly tied to its ability to:

  • Expand RWA offerings.
  • Attract regulated capital.
  • Maintain developer activity around tokenised finance.

Solana’s valuation logic is now rooted in infrastructure demand and capital integration.

What Is Zero Knowledge Proof?

ZKP is a blockchain infrastructure that uses zero-knowledge cryptography to allow data and computations to be verified without revealing the underlying information. Instead of trusting raw outputs, participants can verify that results were produced correctly under predefined rules.

ZKP and Real-World AI Verification

Zero Knowledge Proof is built as a privacy-first blockchain designed to enable verifiable computation without exposing sensitive data. This makes ZKP particularly relevant for artificial intelligence systems, where trust in outputs is becoming as important as performance itself.

As AI systems are increasingly deployed in real-world environments, businesses face a fundamental challenge: how to trust machine-generated outputs without full transparency.

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Traditional AI models operate as black boxes. Users receive predictions or decisions but have no way to verify how those results were produced. This creates risks in regulated industries, where explainability, accountability, and compliance are mandatory. ZKP addresses this problem through verifiable computing. With zero-knowledge proofs, AI systems can:

  • Prove that an output was generated from a valid model.
  • Demonstrate that the input data met predefined compliance criteria.
  • Verify that computations followed the agreed logic.
  • Do all of this without revealing proprietary data or models.

This creates a new trust layer for machine learning.

How ZKP Improves Trust in AI Outputs

ZKP’s role in AI verification is about proving their behaviour. This enables:

  • Enterprises to audit AI decisions without exposing internal systems.
  • Regulators to verify compliance without accessing raw datasets.
  • Developers to deploy AI services that are cryptographically accountable.
  • Businesses to integrate AI into sensitive workflows with reduced risk.

Instead of relying on reputation or opaque metrics, ZKP allows AI outputs to be mathematically verified.

Why ZKP is the Best Crypto to Buy in 2026?

Solana’s growth in real-world assets shows how blockchain is increasingly being used as a gateway to traditional finance. The rise in institutional participation and tokenised assets highlights a shift away from purely speculative activity toward practical financial infrastructure.

Zero Knowledge Proof (ZKP) reflects a different but related transition. Instead of focusing on finance alone, ZKP positions blockchain as a trust layer for intelligent systems, enabling verifiable AI, secure computation, and privacy-first infrastructure. As capital becomes more selective, long-term value is being shaped by systems built around real-world utility and execution integrity.

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Explore Zero Knowledge Proof:

Website: https://zkp.com/

Auction: buy.zkp.com

X: https://x.com/ZKPofficial

Telegram: https://t.me/ZKPofficial

FAQs

Why is Solana attracting institutional capital?

Because its RWA ecosystem allows traditional assets to be traded and settled on-chain.

What is real-world AI verification?

It is the ability to prove that AI outputs were generated correctly without exposing data or models.

Why does verified compute matter?

Because it enables AI systems to be accountable, auditable, and compliant in real-world business environments.

What is the core use case of ZKP?

ZKP enables verifiable AI computation, allowing outputs to be proven correct without revealing data or models.

Why is ZKP relevant for enterprises?

It allows AI systems to be audited and compliant while preserving privacy and security.

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