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Sinabis Explorer. Every device. Every file. Classified.

The Sinabis Analytics Explorer is our forensic media browser with built-in AI classification: connect a storage device, let the AI index and categorize every image, video, audio file and document, and filter straight to what matters. Built for CSAM investigations, useful far beyond them. Free to download, ad-free and fully offline.

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What the Explorer makes visible.

The AI scans every image and video on the device and flags harmful and explicit content with a confidence score. In the demo shown here, previews are redacted for the website.

From data carrier to evidence in three steps.

01Connect

Add external storage media, connect physical devices via USB or SATA, or open forensic images such as AD1 and E01 directly.

02Scan & classify

The Explorer indexes the device automatically and categorizes every media file with AI: images, videos, audio files and documents.

03Filter & review

Jump straight to flagged content, browse by category or run your own prompt filters. Findings stay on your machine.

Built for the hardest investigations.

AI-powered detection
Identify harmful and explicit content on storage media, with a focus on detecting child sexual abuse material. Trained to surface what investigators must find and never want to miss.
Automatic filtering
The Explorer scans storage devices automatically and detects and categorizes media files, including images, audio files and documents. No manual sorting.
AD1, E01 & physical devices
Open forensic image formats such as AD1 and E01 or connect USB and SATA devices directly. Image and video recognition lets you filter and identify explicit content for forensic purposes.
Custom prompt filtering
Create personalized AI filters using your own prompts for precise results: describe what you are looking for in plain language and the Explorer finds it.

Data is at the heart of every digital investigation, and accessing it quickly and efficiently is essential. That is where the Sinabis Analytics Explorer comes in.

Download for free

Responsible by design.

Clear prioritization

Flagged material is grouped and ranked by confidence score. Investigators get straight to the relevant files instead of sifting through the entire carrier.

Fully offline

All AI classification runs locally on your machine. No file, hash or metadata ever leaves the device you are working on.

For police and beyond

Built with and for law enforcement investigating child exploitation, but open to anyone: corporate forensics, NGOs, researchers and private use.

Download

The Sinabis Analytics Explorer is free to use, ad-free, and available for offline use.

For Windows
Sinabis Analytics Explorer
Version 0.2.5 · Windows 10 & 11
Download
For Linux
Sinabis Analytics Explorer
Version 0.2.5 · .deb (Ubuntu, Debian)
Download

Installation Guide (Linux)

Encountering issues with our software? We are here to help, just reach out.

Get support
01Install the required packages (CUDA only if you have a GPU):
sudo apt install ffmpeg
sudo apt install xclip
sudo apt install cuda-toolkit-12-6
02Update your environment variables:
# to check if FFmpeg is installed correctly, run:
which ffmpeg
 
# replace /usr/bin/ffmpeg with your path
export IMAGEIO_FFMPEG_EXE=/usr/bin/ffmpeg
 
# alternatively update your ~/.profile
03Download the .deb package and install it using Snap. Alternatively, you can manually download and install the Explorer by running:
wget https://www.sinabis-analytics.com/downloads/SAE_installer.deb
 
sudo dpkg -i SAE_installer.deb

Ready to explore your evidence?

Download the Explorer for free or talk to our team about your case.

Contact us

Frequently asked questions

What we get asked most often about this topic. If your question is missing, write to office@sinabis.com.

It is a forensic media browser: connect the storage medium, the AI indexes and categorizes every image, video, audio file and document, then you filter straight to what matters.

Connected storage media such as hard drives, SSDs and USB storage. For evidence-safe review, attach the medium through a hardware write blocker.

The models run locally and sort files into categories by content, so large media archives can be filtered by topic rather than by filename.

No. Indexing and classification run locally on the hardware in use, with no cloud connection.