NeutronTech provides a native AI runtime for Apple Silicon that runs inference, analytics, and data transformations entirely on-device, leveraging the Neural Engine, Metal GPU, and Secure Enclave. Its seven‑layer zero‑trust architecture ensures data never leaves the device, offering encrypted peer‑to‑peer mesh networking and compliance‑by‑design for regulated sectors. The company licenses the software stack and offers enterprise support.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that require AI-driven insights often depend on cloud-based services, exposing sensitive data to network interception, regulatory non‑compliance, and vendor lock‑in. In regulated sectors such as healthcare, finance, and defense, these risks limit the adoption of advanced analytics and on‑device inference.
Solution
NeutronTech delivers a native AI runtime for Apple Silicon that executes inference, analytics, and data transformations entirely on the local device. The platform exploits the Neural Engine for low‑latency model execution, the Metal GPU for parallel analytics, and the Secure Enclave for hardware‑bound key management. A seven‑layer zero‑trust architecture enforces encryption, zero‑knowledge routing, and immutable audit trails, ensuring that data never leaves the device or is visible to intermediary services. Unified memory provides zero‑copy data paths, while biometric binding (Touch ID/Face ID) secures user sessions. The stack also supports air‑gap‑ready, end‑to‑end encrypted peer‑to‑peer mesh networking for tactical or ad‑hoc LAN deployments. Compliance‑by‑design features map to GDPR, HIPAA, SOC 2, and upcoming EU AI Act requirements, reducing certification effort for customers.
Target Audience
Primary customers are enterprises and regulated organizations—healthcare providers, financial institutions, and defense contractors—that need on‑device AI while maintaining strict data sovereignty and compliance. Developers building macOS‑based AI applications also benefit from the low‑level hardware integration.
Features
- Native Apple Silicon runtime leveraging the Neural Engine for on‑device model inference with sub‑millisecond latency
- Metal‑GPU accelerated analytics pipelines that process high‑dimensional data without offloading to the cloud
- Secure Enclave‑based hardware‑bound key storage and non‑exportable cryptographic material for zero‑knowledge encryption
- Seven‑layer zero‑trust security model: hardware‑backed encryption, immutable SHA‑256 hash‑chained audit logs, and sandboxed execution environments
- Biometric session authentication tied to Touch ID / Face ID for user‑level access control
- Air‑gap‑ready deployment with no telemetry, supporting isolated networks and tactical environments
- Encrypted peer‑to‑peer mesh networking with end‑to‑end ciphertext routing for collaborative AI workloads
- Zero‑copy unified memory pathways that eliminate redundant data copies and reduce memory overhead