Nara Mobile AI Lab vs OSH

Nara Mobile AI Lab is a developer-focused test bench for exploring Apple built-in AI capabilities directly on iPhone. The app helps developers, builders, and technical teams understand how on-device AI performs in real app workflows before investing in a larger implementation. For the most accurate test, turn on Airplane Mode before running experiments. This helps verify whether results are coming from the device’s built-in AI capability instead of a cloud service. With Nara Mobile AI Lab, you can test practical AI workflows such as: Speech-to-text with structured JSON extraction Vision and OCR extraction from photos Prompt response testing Mock tool and callback execution User-defined tool function testing LocalKnowledge search testing Object detection using preset Core ML models Image classification using preset Core ML models Prompt to Image using Image Playground Latency, validation, manual scoring, and notes Exporting results for review or project planning The app includes built-in templates and one-time page hints so you can quickly test common developer scenarios without building a full prototype first. You can inspect raw extraction, AI output, validation status, benchmark timing, manual score, and notes. Nara Mobile AI Lab is especially useful for evaluating whether on-device AI is suitable for privacy-focused apps, offline-first workflows, mobile automation, field tools, form extraction, image analysis, local knowledge search, and AI-assisted business software. Core ML Vision Tests Nara Mobile AI Lab includes preset Core ML model tests for object detection and image classification. The current preset models include YOLOv3TinyFP16 for object detection and FastViTMA36F16 for image classification. These tests provide practical developer examples for reviewing on-device model behavior, latency, and output format. Tool Calling Tests The app includes mock tool-calling tests so developers can evaluate whether the Apple Foundation Model chooses the correct function, passes reasonable arguments, and returns a useful result. Write-style actions are mocked for safety, allowing the app to demonstrate tool-calling behavior without performing real external changes. LocalKnowledge Tests The app includes local knowledge search testing so developers can explore how user-defined local information can be used in offline-first AI workflows. Test data stays on the device unless the user manually exports it. Nara Mobile AI Lab is a testing and learning tool. AI output may be incomplete or inaccurate and should always be reviewed by the user.

OSH turns your iPhone into a hardware-backed approver for zero-trust SSH access. Instead of long-lived SSH keys scattered across laptops, your team's gateway issues short-lived SSH certificates only after a human approves each request. OSH is where that approval happens — on a device you carry, protected by Face ID and the Secure Enclave. HOW IT WORKS • Enroll your device by scanning the gateway's QR code. • When someone requests SSH access, OSH shows you who, what, and where. • Approve or deny with Face ID. Your approval is signed by a key that lives only in the Secure Enclave. • The gateway issues a short-lived certificate — no standing keys, no shared secrets. WHY IT'S SECURE • The signing key is generated inside the Secure Enclave and is non-exportable — it can never leave your iPhone. • Every approval requires biometric authentication. • OSH connects only to the gateway you configure. It has no analytics, no trackers, no ads, and no third-party SDKs. FOR TEAMS • Role-aware: signers, admins, and root see the controls appropriate to them. • Review access rules, approval history, and gateway logs from the app. OSH requires a compatible zero-trust SSH gateway to connect to. If your organization doesn't run one yet, contact us at ad@openlay.com.