Polyhedra Network

• Polyhedra builds zero-knowledge infrastructure for cross-chain interoperability and verifiable computation.

• Its zkBridge lets chains verify each other's state cryptographically rather than through trusted validators.

• ZKJ is the network token.

• Supply allocated across community, ecosystem and investors.

• Used for proof fees, staking and governance.

Pros:

• Cryptographic state verification is a genuinely stronger security model than validator-attested bridging.

• Substantial published research output on proof systems.

• Backed by prominent venture investors.

Cons:

• In June 2025 ZKJ fell sharply within hours after large liquidity was withdrawn from its primary decentralised exchange pool, triggering cascading liquidations. The team attributed it to coordinated selling; the episode exposed how thin the token's on-chain liquidity actually was.

• That liquidity fragility has not been fully resolved.

• Crowded interoperability and proving segment.

• Exposure to zero-knowledge interoperability with real cryptographic contributions.

• The security model is stronger than validator-based bridging.

• The June 2025 collapse is essential context and points to a structural liquidity problem.

• Cross-chain verification through zero-knowledge proofs of chain state, removing the trusted validator set that bridges normally depend on.

• Bridges rely on validator committees attesting to what happened on another chain, and those committees have been compromised repeatedly.

• Proving the state cryptographically removes the committee from the trust path.

• Founded by Tiancheng Xie and Jiaheng Zhang, both from academic cryptography backgrounds.

• Backed by Polychain, Binance Labs and Animoca Brands.

• No public ICO. Distributed via Binance ecosystem programmes and airdrop in 2024.

• On-chain liquidity has proven thin enough to permit a rapid collapse.

• Cascading liquidations amplified the June 2025 decline and could recur.

• Crowded competitive segment in both bridging and proving.

• Proving cost limits economic use cases.