Built for AI at work
AI is at work across iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro. Learn how to take full advantage of generative models in the cloud and on-device with Apple Foundation Models, MLX, and Core AI.
AI is at work across iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro. Learn how to take full advantage of generative models in the cloud and on-device with Apple Foundation Models, MLX, and Core AI.
The most valuable AI runs where work happens. Some tasks require the scale of the cloud, while others demand the speed, privacy, and reliability of on-device intelligence.
Apple devices are built for both, combining powerful on-device AI with rich contextual data from the sensors, cameras, and microphones people use every day.
Photos, video, document scans, and live vision.
Depth, room geometry, and 3D scanning.
Speech, ambient audio, and voice.
GPS, course, altitude, and heading.
Accelerometer, gyroscope, and orientation.
According to a 2026 study by research firm Omdia, a third of organizations plan to shift more AI workloads on-device within a year.
Cloud-only users adding on-device
Hybrid users planning to shift more
On-premises users adding on-device
Existing on-device users planning expansion
Rethinking critical AI infrastructure: How on-device infrastructure is emerging as a platform for enterprise AI development and deployment. Omdia, commissioned by Apple, 2026. Survey of 1,584 enterprise technology leaders. Read the full report.
These use cases across industries are in production today.
Stock counts
Get an accurate count in a fraction of the time. No network needed.
Planogram compliance
Scan an aisle. Get a delta against the planogram, with no latency.
Real-time translation
Empower front-line associates to speak with every customer in their own language, with full privacy.
Medical imaging
Analyze X-rays, MRIs, and CT scans on-device. Patient data stays put.
Clinical insights
Suggest personalized treatments in seconds. Data stays on device.
Ambient documentation
Automatically convert patient-doctor conversations into structured medical notes in real time.
Operations manuals
Find the right information from thousands of pages and multiple revisions in seconds.
Cockpit decision support
Synthesize weather, traffic, and operations data into a recommended action.
Turnaround optimization
Coordinate cleaning, fueling, catering. Leave on time and prevent delays.
Knowledge retrieval
Find the maintenance procedure or regulation by asking in plain language.
Obstacle detection
Camera-based hazard alerts ahead of the train.
Visual asset inspection
Capture and analyze track, signaling, and rolling stock. Flag what needs attention.
Anomaly detection
Catch defects, leaks, and abnormal vibrations before they cascade.
Predictive maintenance
Combine data from sensors and machine logs to identify maintenance work before it halts production.
Safety monitoring
Forecast unsafe conditions and equipment risks on the line.
Advisor insights
Get briefed on every client. Walk out with the follow-up already drafted.
Document fraud detection
Spot tampered IDs, documents, and contracts at intake.
Portfolio risk analysis
Stress-test portfolios against multiple scenarios. Explain the result.
Real-time translation
Front desk speaks every guest’s language, no third-party service required.
Room inspection
Photograph and verify room readiness with one tap.
Waste reduction
Forecast restock and prep needs from past patterns.
Code generation
Get boilerplate, refactors, and tests scaffolded in Xcode.
Document summarization
Distill long contracts into the points that matter.
Research automation
Synthesize multiple sources into a draft brief on demand.
Inventory receiving
Check, count, and reconcile deliveries against the order.
Table optimization
Rebalance covers and seat assignments to maximize table occupancy.
Waste reduction
Forecast prep and ordering from past patterns and the day’s signals.
Blueprint and spec summary
Surface what changed across spec revisions in seconds.
PPE and safety compliance
Check that workers have the right certifications and are wearing the correct gear.
Punch lists and inspections
Capture findings, assign owners, and draft the closeout report.
Claims inspections
Photograph damage, match against policy, and flag what needs attention.
Enhanced sales and service
Surface the right talking point, response, or next step in the moment.
Underwriting automation
Shift policy issuance from back-office to a real-time field operation.
Browse sessions from WWDC26 covering AI and machine learning on Apple platforms.
Dive into official guides, references, and open-source projects for on-device AI on Apple platforms.
Tap directly into the on-device large language model at the core of Apple Intelligence to power features in your app, with a few lines of code.
Build, run, and deploy on-device AI models. Designed with Apple silicon in mind, Core AI accelerates compute across the CPU, GPU, and Neural Engine.
The personal intelligence system at the core of iPhone, iPad, Mac, and Apple Vision Pro. Browse what’s new, design guidance, and the full developer hub.
The framework that connects your app to system experiences. Expose your app’s actions and content to Siri, Shortcuts, Spotlight, and Apple Intelligence.
Measure the quality of your app’s intelligence-powered features with structured evaluation.
Apple’s open-source array framework with first-class Swift bindings. Work with the same source builds for Mac and iPhone, with full control over the inference loop.
These six categories cover the leading patterns for on-device AI on Apple platforms. Find the one that best fits your idea, and the curated resources will take it from there.
Image and video analysis on-device. Recognize, classify, detect.
Speech-to-text, dialog, translation. Captures what’s said and acts on it.
Read long-form text. Extract, summarize, find what matters.
Drafts, code, summaries. Structured output the system can use.
Forecasts, anomaly detection, structured reasoning over data.
Multi-step tasks. The model picks tools, writes the steps, and runs them.