Arcium precio

ARX

Ecosystem Teams Raised $7.5M Pre-TGE 💰

The AI x crypto thesis has built dedicated investor communities across multiple cycles, from compute networks like $TAO to agent infrastructure like $VIRTUAL.

The same thesis is what moved smart capital into Arcium before token launch.

Coinbase Ventures, Jump Crypto, Balaji Srinivasan, and Anatoly Yakovenko all positioned in before the TGE.

Independent ecosystem teams have raised $7.5M+ to build on Arcium before the token has even launched.

Twelve applications are live on Mainnet Alpha.

The network has already processed 1.2M+ computations and 4.4M+ transactions since February 2, 2026.

ARX TGE soon.

#AI #Altcoin Season#

Every Solana Protocol Can Now Add Confidentiality 🔒

$JUP processes the largest order flow on Solana across hundreds of token pairs, all of it running on a token standard with no native confidentiality built in.

$NEAR has been building toward compute and developer infrastructure that scales to meet institutional demand without sacrificing decentralization.

That same institutional-grade standard now exists natively for every token on Solana.

C-SPL is Arcium's confidential token standard for Solana. Any token, program, or app using the SPL standard can now adopt built-in confidentiality without changing the developer interface.

The same SPL experience, running on Arcium's Multi-Party Computation infrastructure.

C-SPL brings native confidentiality to transfers, trading, and token programs on Solana. It is the most advanced token standard for institutional-grade confidentiality on the network.

Every C-SPL transaction routes through Arcium's compute network, feeding fees back to ARX.

ARX TGE soon.

#DeFi #Altcoin Season#

AI Models Still Expose Your Data 🤖

Projects like $VVV are building infrastructure for AI models that operate on sovereign compute rails, where outputs stay under the user's control.

$RENDER demonstrated that decentralized compute networks can reach institutional scale.

Neither solved the underlying problem: a model running on sensitive data still has to decrypt those inputs to compute on them.

A model running on sensitive data, whether medical records, financial history, or proprietary research, decrypts those inputs to compute on them. That exposure is where leaks happen.

Arcium closes this at the compute level, by running inputs inside Multiparty computation eXecution Environments (MXEs) and computing over encrypted data.

Neither the inputs nor model weights are exposed to any node in the process.

The Manticore engine, acquired from Inpher (Amazon and JP Morgan backed, $25M+ raised), is purpose-built for these machine learning workloads and is being leveraged in Arcium AI-optimized protocol.

ARX TGE soon.

#AI #Altcoin Season#