Arcium Blackthorn™ runs and trains AI models over data that stays encrypted end to end. Inputs, weights, and outputs are never exposed, to anyone, at production speed.
Arcium Blackthorn™ combines maliciously secure multi-party computation with GPU confidential computing. Models execute over encrypted shares across a cluster of independent nodes, so no single party, not even the host, can read the inputs, the weights, or the result, and every computation stays verifiable.
Two ways to put encrypted models to work, both verifiable and both at production speed.
Sending data to a model means handing it to whoever runs the model. Prompts, documents, and user records are all visible to the host, which rules most AI out for regulated, proprietary, or personal data.
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.
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.
The best training data is the data no one is allowed to share. Proprietary datasets and regulated records stay locked away, so models are trained on far less than exists.
Blackthorn trains and fine-tunes 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.
Fine-tune on data you could never centralize, across organizations, without any party exposing it. Build models on the full picture instead of the slice you are allowed to see.
Tell us about your workload and we'll get you set up with Arcium Blackthorn compute.