On-device computer vision that processes every frame locally. Object detection to Arabic OCR — all running on your hardware, with zero cloud upload.
Join 200+ developers on the early access waitlist
Trusted by teams building the future of vision
Everything happens on your device. No cloud. No upload. No compromise.
Camera, video file, or image input. Frames enter the local processing pipeline directly from your hardware.
Saj See engines run natively on your device. Encrypted models, optimized inference, millisecond latency. No network required.
Structured results delivered instantly to your application. Detections, classifications, text, and metadata — all local.
8 engines. One SDK. Every platform. Everything runs on-device.
Real-time object detection with bounding boxes. State-of-the-art models running entirely on-device.
Face detection, landmarks, attributes, and liveness. On-device biometric verification.
Scene classification, place recognition, and context awareness. Understand what the camera sees.
Text detection and recognition with Arabic script as a first-class language. OCR that reads your world.
Semantic and instance segmentation. Pixel-level understanding of every region in the frame.
Human body, hand, and face landmark detection. Real-time skeletal tracking on-device.
Ask questions about images. On-device visual reasoning without sending a single pixel to the cloud.
Detect anomalies in video streams. Surveillance and quality control with on-device intelligence.
On-device visual AI tailored to your vertical. Private by design.
Real-time vehicle counting, speed estimation, congestion detection. Process 50+ camera feeds per edge device.
Detect and read Arabic street signs, building names, government notices. Industry-leading accuracy on Arabic script.
Real-time crowd estimation for events and transit hubs. Privacy-preserving — no face data stored.
Detect out-of-stock, misplaced products, planogram compliance. 90% reduction in manual audits.
Anonymous foot traffic counting, dwell time, flow patterns. Zero PII collection — pure counting.
Read Arabic product labels, price tags, and promotional signage with native Arabic script support.
Detect unusual behavior, abandoned objects, perimeter intrusion. On-device — no cloud upload of footage.
Arabic and Latin license plate detection. Supports Saudi, UAE, and Bahrain plate formats.
Anti-spoofing for access control — detect photos, masks, and screens. On-device biometric verification.
Real-time vehicle and pedestrian detection from dashcam. <5ms inference on automotive SoCs.
Lane line detection and departure warning system. Works with Arabic road markings.
Detect and classify Arabic road signs — speed limits, directions. Saudi/UAE/Bahrain sign databases.
Highlight regions of interest in X-rays, CT scans, dermatology. Patient data never leaves the facility.
Arabic medical records OCR, prescription reading, form processing with handwriting recognition.
Fall detection, posture analysis, movement tracking. Privacy-preserving — skeleton data only.
Detect defects, scratches, misalignments on production lines. Near-perfect detection rate at real-time speeds.
PPE detection — helmets, vests, goggles. Restricted zone monitoring with real-time alerting.
Verify Arabic product labels, serial numbers, expiry dates. Bilingual Arabic/English label support.
No visual AI platform treats Arabic script recognition as a first-class feature. Until now.
التكنولوجيا تغير العالم
أ ب د ١٢٣٤
مستشفى المدينة
City Hospital
الاسم: محمد عبدالله
رقم الهوية: ١٠٢٣٤٥٦٧٨
بسم الله الرحمن الرحيم
Saudi, UAE, Bahrain, and Kuwaiti plate formats. Arabic numerals, Arabic-Indic numerals, and mixed-script plates. Parking systems, toll gates, and law enforcement.
Vision 2030 and GCC modernisation initiatives require digitising millions of Arabic documents. National IDs, passports, land titles, court filings, birth certificates — all processed on-device with zero cloud exposure.
Arabic street signs, building names, highway markers, and directional wayfinding. Powers autonomous navigation, accessibility tools, and municipal asset management in Arabic-script cities.
Government forms, medical prescriptions, legal documents, and educational materials with handwritten Arabic. Supports connected cursive script and diacritical marks.
Simultaneous detection and extraction of both scripts in a single frame. Color-coded results for instant differentiation. Mixed RTL/LTR text handled natively.
Optimized for regional Arabic variants. Context-aware processing adapts to Saudi, Emirati, Bahraini, and Egyptian text conventions.
Supporting MSA, Gulf, Egyptian, Levantine, and Maghrebi dialects. Patent pending.
Three lines of code. Real-time object detection in your app.
From prototype to production in hours, not months. Consistent API across every language and platform.
Your camera feed is processed entirely on your device. Saj See engines run as local libraries — not API calls. There is no server. There is no upload.
Optimized Runtime + Encrypted Models
Labels, boxes, confidence scores
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Compare Saj See with cloud vision APIs.
| Saj See | Google Cloud Vision | AWS Rekognition | Azure CV | |
|---|---|---|---|---|
| Data leaves device | Never | Always | Always | Always |
| Internet required | No | Yes | Yes | Yes |
| Per-API-call cost | $0 | $1.50/1K | $1.00/1K | $1.00/1K |
| Latency | <5ms | 200-800ms | 200-600ms | 200-700ms |
| GDPR / HIPAA | Inherent | Config required | Config required | Config required |
| Arabic OCR | First-class | Supported | Limited | Supported |
When data never leaves the device, compliance is a property of the architecture — not a configuration checkbox.
Saj See engines are compiled into your binary. Zero HTTP requests, zero API calls, zero WebSocket connections. Verify with tcpdump.
Frames are processed and discarded. No frame buffer is persisted. No thumbnail cache. No training data extraction.
Models are encrypted static files in our proprietary .saj format. They do not update, call home, or transmit telemetry.
Start free. Scale as you grow. No hidden fees. No per-API-call billing.
For prototyping and personal projects
For production apps and commercial use
For OEMs, fleets, and government deployments
Saj See is in active development. Join the waitlist to be among the first to build with on-device visual AI. We'll notify you as soon as early access opens.
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Join 200+ developers building private, intelligent visual experiences that run entirely on-device. No cloud. No upload. No compromise.