Features

A tagging system that's up to 50% faster than other solutions. Recognize concepts, objects, people, and more.

Precise Analysis
Built in with over 6,000 pre-trained, standard concepts.

No More Cluttered Tags
Predicted tags grouped by 10+ categories like activity, colours, people.

Capture Abstract Concepts
Democracy, joy, love: tags keywords to add context to your visuals.

Easy to Install
Simple to integrate with your system and operations.

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Generate noise-robust transcripts with automatic language identification and English translation.

ASR with Unmatched Accuracy
Extract keywords based on spoken content for multiple languages.

Dynamic Audio-Visual Tagging
Select specific audio tags such as person/brand identities or detect profane words. Customize visual tags for your needs with a trainable model.

Single Pass Process
Does not rely on separate Natural Language Processing modules (as required by traditional cloud-based vendors).

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Source exact metrics on brand and logo placement within your content.

Automated Brand Detection
Identify where, when and for how long brands appear in your content.

Product Placement Recognition
Automatically identify instances of promotional products within videos and still images.

Logo Screen Time
Accurately quantify and track duration of logos appearing on screen.

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From managers to product owners, anyone can train fully customized AI models to analyze and process visual assets.

A No-code Training Interface
No prior knowledge of machine learning required for training models.

Requires Minimal Data
Just 20 images needed for our AI to learn any new concept.

Unlimited Training
Instant prediction results. Keep improving models until you're satisfied.

Supports Various Operations
Content moderation, visual inspection, curated archives, and much more.

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Facial recognition algorithms based on actual facial expressions rather than the usual 6 or 7 perceived basic emotions.

Identify New Faces with Just 1 Reference Image
No need to retrain the whole architecture using thousands of sample faces that show the desired emotion.‍

Discoverability
‍Find visuals based on specific public figures and personas with 11,000 well-known faces built-in.

Bias Sensitive
Trained on balanced data-sets to reduce chances of socialprejudices.

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Process videos quickly and efficiently by capturing the best scenes. Attract more viewers and make workflows more efficient.

Detect Shot Changes
Obtain automated time-stamps wherever a shot change occurs.

Create Attractive Clips
Identify the best places in videos to place commercials.

Speed up Processes
‍Minimise manual video processing from editing to production.

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Unlock the true value of your content library with AI-powered naturallanguage search that analyzes the actual content and not just theassociated tags and metadata.

Unlimited Vocabulary
Searches are never limited by a set number of keywords or restrictive taxonomies.

Pioneering AI Algorithms
‍Simply describe what you want to see and deliver the right content to the right people at the right time.

One-pass Ingest
‍No need to index video and audio separately.

Scalable and Cost-Effective
Up to 10x cheaper than traditional cloud-based solutions.

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Next generation AI that swiftly finds the most interesting scenes in all your video content.

Automated Highlights
Segment videos by highlight scores to identify important scenes.

No more Hand-picking
‍Obtain ready-to-use highlights from your video content.

Let AI do the Hard Work
Easily create promotional or summary videos from auto highlights.

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Discover visuals that perfectly match your brand style and aesthetics.

Deep visual assessment
Score visuals by aesthetic quality. Filter the 'stocky' images.

Personalized assessment models
‍Easily train new concepts to score images on personal aesthetics.

Maintain changing brand identity
‍Identify visual trends based on demography or brand targets.

Discover perfect matches
Easily find creators who match your brand and campaigns.

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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.

Works as a powerful AI engine to deeply analyze visual assets and easily discover visual content. Delivered in an SDK for servers, computers and mobile devices.

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No results

More than 30 companiestrust us globally.

Do you have questions?Drop a message.

More than 30 companies
trust us globally.

Do you have questions?
Drop a message.