Arbaedge provides verifiable AI infrastructure that records and proves the exact AI code executed from edge devices to orbit, using its Nuri/NeonSat‑5 satellite platform. By delivering immutable evidence of AI actions, the service helps organizations ensure accountability for critical decisions and meet growing regulatory and trust requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI at the edge lack reliable evidence of the exact code that ran, making it difficult to audit decisions, meet regulatory requirements, and maintain trust in critical applications.
Solution
Arbaedge offers a verifiable AI infrastructure that records and cryptographically proves the precise AI code executed on edge devices and transmits this proof to orbit via the Nuri/NeonSat‑5 satellite platform. By anchoring execution logs in an immutable, tamper‑evident ledger in space, the service provides indisputable evidence of AI actions for downstream audit and compliance. The platform integrates with existing edge AI workloads, captures execution metadata in real time, and streams signed attestations to the satellite, where they are stored and made accessible to authorized stakeholders. This orbital verification enables organizations to demonstrate accountability for AI‑driven decisions without relying on vulnerable on‑premise logs.
Target Audience
Primary customers are enterprises that run AI models on edge hardware in regulated or high‑risk domains, such as autonomous systems, industrial IoT, and critical infrastructure operators.
Features
- Real‑time capture of AI execution metadata on edge devices with cryptographic signing
- Secure transmission of signed attestations to the Nuri/NeonSat‑5 satellite for immutable storage
- Space‑based ledger that provides tamper‑evident proof of code execution accessible via API
- Compatibility layer for common edge AI frameworks and deployment pipelines
- Dashboard for auditors and compliance officers to query and verify execution records
- Scalable architecture designed for large‑scale enterprise AI deployments