The Smart Digital Archive System (ADAS) is an AI-powered platform that manages organizations' digital content lifecycle end to end. Thanks to its open and scalable architecture, it automatically analyzes, interprets, and centrally manages different content types such as documents, photos, audio, and video. While supporting collaborative workflows, it adopts data integrity, accessibility, and full traceability as core design principles.
Manual processes in traditional archiving methods cause time loss, errors, and coordination gaps. Thanks to rich metadata generated through AI-powered indexing, speech-to-text (STT), OCR, and object/face recognition, ADAS enables the information you need to be found within seconds. It brings scattered data together on a centralized, web-based platform while offering seamless integration with enterprise systems such as ERP and EDMS. By protecting digitized content with encrypted infrastructure and advanced authorization mechanisms, it strengthens data security and traceability.
Fund, layer, file, and user based authorization and tracking
Access to information within seconds through AI-powered analysis and advanced search technologies
Provides 24/7 uninterrupted access to digital archive assets.
Securely managing different content types on one platform
ADAS manages corporate digital content on a centralized, secure platform. Through AI-powered OCR, photo captioning, object and face recognition, and speech-to-text (STT) technologies, it interprets content, generates rich metadata, and provides fast access to information independent of time and place.
The Editor AI module learns the organization’s style better with each use; it increases recommendation accuracy and continuously reduces the editor’s workload.
It plays and displays numerous formats such as TIFF, RAW, MP4, MOV, WAV, and PDF directly over the web with a fully browser-based architecture, without requiring an additional application.
It provides an autonomous smart archive experience not just by storing data, but by offering end-to-end AI services on a single platform, such as flexible OCR engines, object recognition, visual description, speaker-separating STT, and face recognition.
It can keep data in HAS or S3 systems according to institution-defined funds and perform automatic data migration between environments without access interruption using system administrator rules.
Up-to-date IOC, malicious IP, and security intelligence data are actively utilized during threat analysis processes.
