ARX provides a unified operating system for enterprise AI that serves as a control plane for all AI workloads, integrating memory, routing, policy enforcement, and cryptographic verification into a single runtime. The platform automatically generates audit evidence for regulations such as the EU AI Act, SR 11‑7, FedRAMP, and DoD 3000.09, and issues cryptographically signed fidelity certificates to ensure provable cross‑model consistency and continuous monitoring for compliant, auditable AI deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that deploy AI models in regulated domains must manage multiple models from different providers while ensuring compliance, auditability, and consistent performance. Existing solutions rely on fragmented toolchains, manual audit reconstruction, and stateless deployments that cannot guarantee model fidelity or preserve context across swaps.
Solution
ARX offers a unified operating system for enterprise AI that acts as a control plane for all AI workloads. The platform provides persistent memory, intelligent routing, policy enforcement, and cryptographic verification as a single runtime, eliminating the need for separate vendor stacks. By embedding governance directly into the substrate, ARX automatically generates the evidence required for regulations such as the EU AI Act, SR 11‑7, FedRAMP, and DoD 3000.09, turning compliance into a byproduct of execution. Cross‑model fidelity is ensured through machine‑checkable certificates that are cryptographically signed, allowing auditors to re‑verify mathematical guarantees without re‑running models. The system supports rapid transition from research to production, with formal specifications, adversarial testing, and continuous fidelity monitoring built into the deployment pipeline.
Target Audience
Primary customers are regulated enterprises such as financial institutions, healthcare providers, and government agencies that require auditable, compliant AI deployments at scale.
Features
- Integrated runtime that combines memory, routing, policy, coordination, and verification for all AI models
- Cryptographically signed fidelity certificates that provide provable cross‑model consistency
- Automatic generation of audit trails aligned with EU AI Act, SR 11‑7, FedRAMP, DoD 3000.09, and CMMC requirements
- Formal specification framework with mathematical bounds, correctness proofs, and defined failure modes
- Production‑scale testing suite covering request paths, policy boundaries, and cross‑model transfers
- Continuous fidelity monitoring with canary deployments and automated rollbacks
- State‑ful AI execution preserving context across sessions, providers, and model updates