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CONFIDENTIAL AI

Run AI on data that stays encrypted

With Arcium Blackthorn, models run and train over data that is never decrypted. Inputs, weights, and outputs stay sealed, to the host and everyone else, at production speed.

USE CASES

Built for confidential AI

Encrypted execution unlocks the AI workloads that sensitive data could never reach. Here is what becomes possible.

01 Inference

Confidential Inference

The problem

Sending data to a model means handing it to whoever runs the model. Your prompts, your documents, your users' records are all visible to the host. For regulated, proprietary, or personal data, that rules most AI out entirely.

How Arcium solves it

Blackthorn runs inference over data that stays encrypted end to end. Inputs, model weights, and outputs are never exposed, to the host or anyone else, yet the computation stays verifiable. The most secure way to deploy a model, at production speed.

What this enables

Serve models on sensitive inputs without ever seeing them. Healthcare, finance, and enterprise workloads that could never touch a hosted model can now run confidentially.

ENCRYPTED INPUTS, SEALED WEIGHTS
02 Training

Confidential Training and Fine-tuning

The problem

Training and fine-tuning need data, and the best data is the data no one is allowed to share. Proprietary datasets, regulated records, and competitive signals stay locked away, so models are trained on far less than exists.

How Arcium solves it

Blackthorn trains and fine-tunes models over encrypted data. The dataset never leaves its owner in the clear and the resulting weights stay sealed, while the training run itself remains verifiable.

What this enables

Fine-tune on data you could never centralize. Build models on the full picture, regulated, proprietary, and personal data included, without any party exposing it.

ENCRYPTED TRAINING, SEALED DATASETS
03 Collaboration

Multi-Party and Collaborative AI

The problem

The highest-value models would be trained across organizations: banks pooling fraud signals, hospitals pooling outcomes, rivals pooling threat data. None of them can hand their data to the others, so the model never gets built.

How Arcium solves it

Multiple parties compute over the same encrypted data at once, under maliciously secure MPC. Each contributes its data without ever revealing it, and no single party, not even the host, can read the combined inputs.

What this enables

Train shared models across competitors and institutions. Joint fraud detection, collaborative research, and federated intelligence over data that stays private to its owner.

SHARED ENCRYPTED STATE, MPC
BLACKTHORN

Powered by Arcium Blackthorn

The fastest and most secure confidential inference platform in the world, combining maliciously secure MPC with GPU confidential computing so models run over encrypted data at production speed.

Learn more Read the docs

Build what couldn't be built

Join our global community of developers running hundreds of thousands of confidential computations every single day on Arcium.

Network

Power the network

Operate an Arx node and join a Cluster, or stake $ARX to secure the network's confidential compute and earn protocol rewards.

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Blockchain

Build an app

Write confidential programs in Arcis, our Rust DSL, and ship them on Arcium.

Blackthorn

Confidential AI

Run the world's fastest, most secure confidential inference with Arcium Blackthorn.

Encrypted execution over secure MPC
Trustless, verifiable compute
Composable, native to Solana
Write in Arcis, our Rust DSL
Run a node, join a Cluster
Confidential by default