
- Brevis and APRO introduce trust-free oracles on BNB Chain.
- Zero-knowledge proofs replace validator consensus.
- Privacy tools protect prediction market traders’ strategies.
Brevis and APRO are teaming up to reassess the way oracles work on the BNB Chain. This strategic collaboration intends to create trust-free data feeds that rely on cryptographic proofs instead of validator consensus. This offers a more reliable way to bring real-world and on-chain data into smart contracts. With this partnership, Brevis intends to support prediction markets and other data-heavy applications that need fast, data-heavy applications that need fast, verifiable outcomes.
The move aims to solve long-standing issues with traditional oracles, such as slow updates, high costs, and the risk of manipulation. Using zero-knowledge proofs, the new system allows smart contracts to verify data without relying on multiple validators or exposing sensitive information.
How Brevis is Redefining Oracles on BNB Chain?
According to the latest X post released by Brevis, a decentralized compute blockchain platform, the network is building a new oracle model that removes the need to trust validators or rely on majority votes. For this, the company is partnering with APRO, a leading oracle on the BNB Chain. The platform stated,
“Brevis is partnering with APRO Oracle to develop trust-free oracle infrastructure on BNB Chain. The goal: oracles that prove their data mathematically rather than through validator consensus.”
As noted by the team, Brevis uses zero-knowledge proofs to mathematically verify that data is correct before it reaches the blockchain. This renewed approach reduces delays, lowers costs, and eliminates many of the trust assumptions found in traditional oracle systems.
Significantly, this development is built on the already existing partnership between Brevis and BNB Chain. As Times of Blockchain previously reported, Brevis partnered with BNB Chain to launch the next-gen blockchain privacy infrastructure.
Unveiling Brevis’ Trust-Free Data Verification Model
Notably, Brevis checks past blockchain information and generates a cryptographic proof to show the result is correct for on-chain data. For off-chain data, it uses zkTLS to prove the data was pulled from a real and trusted source, with Pico zkVM handling the processing.
When private data is involved, Brevis lets data providers share results along with proofs, so users can verify the outcome without seeing the underlying sensitive data.
By serving the verification layer, Brevis helps APRO deliver trust-free oracle services on BNB Chain. This setup allows smart contracts and prediction markets to settle outcomes using mathematical proof instead of validator voting. This creates a faster, safer, and more privacy-friendly alternative to traditional oracles. Commenting on the challenges of traditional oracles, Brevis noted,
“Traditional oracles work through attestation. Validators observe data, sign it, and majority opinion becomes on-chain truth. This introduces latency, cost, and trust assumptions. Validators can collude. Disputes need arbitration. And the “always-on” model creates overhead when you only need data at specific moments.”
Bringing Institutional-Grade Privacy for Prediction Market Traders
Beyond trust-free oracles, the partnership also focuses on protecting trader privacy in prediction markets. Brevis and APRO say that while blockchain transparency builds trust, it can expose large traders to risks by revealing strategies, timing, and positions. Brevis stated,
“The collaboration also explores privacy for prediction market traders. Trade intentions, arbitrage paths, timing, positions, address correlations – all visible on public blockchains. ZK proofs let traders verify their transactions are valid without exposing these details.”
Using zero-knowledge proofs, Brevis allows traders to prove their trades follow the rules without showing how or when they execute them. This keeps identities, strategies, and on-chain activity private, giving prediction market participants, especially large traders, institutional-level privacy on public blockchains.



