Date: Wed, Oct 29, 2025 | 06:16 AM GMT

In a continued effort to enhance user verification and strengthen network integrity, Pi Network has rolled out a new automated system process aimed at clearing Tentative KYC backlogs — paving the way for millions of Pioneers to reach full verification and Mainnet migration.

In the pervious update of October 23, when Pi announced that more than 3.36 million additional Pioneers had successfully completed full Know Your Customer (KYC) verification following the launch of an AI-driven system process. That system analyzed 4.76 million Tentative KYC cases, using advanced artificial intelligence models and large-scale data from liveness checks and user applications to verify authenticity and ensure compliance with Pi’s “one person, one account” policy.

Now, the latest system process takes this progress further — potentially unblocking an additional 3 million Pioneers with Tentative KYC status. To become eligible, affected users simply need to complete the required additional liveness checks within the Pi app.

Pi Network Tweet
Source: @PiCoreTeam (X)

According to the Pi Core Team, completing these liveness checks is crucial for the system to finalize KYC approvals and move users closer to Mainnet migration. The team also encourages ongoing engagement within the app, as active participation can trigger automated background processes that may help accelerate both KYC completion and migration.

With this latest advancement, Pi Network continues to demonstrate its commitment to building a secure, authentic, and inclusive Web3 ecosystem powered by verified human users.

Disclaimer: This article is for informational purposes only and not financial advice. Always conduct your own research before investing in cryptocurrencies.


Nilesh Hembade
Written by
Nilesh Hembade
Nilesh Hembade is the Founder and Author of Coinsprobe, with 5+ years of experience in cryptocurrency and blockchain. Since launching the platform in 2023, he delivers daily, research-driven insights through market analysis, on-chain data, and technical research. His work has been featured on Binance, Bitget, and CoinMarketCap. He is also certified through Binance Academy (NFT Certificate).
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