Funding
Funding not disclosed
Founders
Product
Problem
Organizations need to process sensitive data—such as personal information, proprietary business logic, or confidential AI models—while complying with privacy regulations, but traditional computing environments expose data to potential breaches and unauthorized access.
Solution
Arcium provides a cryptographic infrastructure that enables encrypted computing, allowing data to be processed without ever being decrypted in memory. The platform leverages secure multi‑party computation (MPC) and distributed system techniques to create an “encrypted supercomputer” where multiple parties jointly compute results while each retains control over its private inputs. By abstracting the underlying cryptography into developer‑friendly APIs and runtime services, Arcium lets organizations build confidential applications and AI workloads without redesigning their existing codebases. The solution integrates with cloud and on‑premise environments, delivering end‑to‑end confidentiality, auditability, and compliance with emerging data‑protection regulations.
Target Audience
Primary customers are enterprises, AI developers, and regulated industries (e.g., finance, healthcare, and government) that require confidential data processing and secure AI model execution.
Features
- Secure multi‑party computation framework that splits computations across independent nodes to keep inputs encrypted at all times
- Distributed runtime that orchestrates encrypted workloads across heterogeneous cloud and on‑premise resources
- Developer SDKs and language bindings for seamless integration with existing AI and data‑processing pipelines
- End‑to‑end data confidentiality guarantees with zero‑knowledge proof verification of computation integrity
- Compliance‑ready audit logs and policy controls to meet GDPR, CCPA, and other privacy regulations