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Our R&D Capabilities

Disruptive technologies at your doorstep

Leverage our proactive R&D to unlock new efficiencies

Our research and development department unites over 20 result-driven experts with hands-on cross-domain experience. We’re constantly working on internal projects to try out innovative concepts and approaches able to cut costs and minimize time to market for your product.

R&D Projects Productization

Our research and development experts will assist you at every stage of your software project, from business needs analysis and ideation to product development and support.

R&D projects productization
Precise face and person attributes recognition
  • Face recognition at various pose angles and despite a shaky camera
  • Accurate face redaction
  • Hidden face detection and tracking
  • Person attributes detection: gender, age, headwear, and more
Object detection and tracking
  • Accurate object detection and tracking despite occlusions, poor lightning, etc.
  • Detection of any bag type, including abandoned objects and their owners
  • Custom object anonymization
  • Firefighter detection and tracking in a smoky environment
  • Unsupervised failure and anomaly detection
Accurate vehicle detection
  • Recognition of various vehicle types such as cars, bicycles, scooters, ships, and more
  • License plate recognition
  • Vehicle detection and tracking despite poor lighting and adverse weather conditions
  • Car parking monitoring
Streamlined M&E content processing
  • Accurate detection of ingested ads
  • Discovering anomalies in video content : black screens, glitches, artificial text, etc.
  • Scene analysis: detection of romantic, racing, disastrous, and other episodes
  • Spotting sensitive themes like smoking, alcohol, violence, and more

Accelerate development with our Content DNA know-hows

R&D Projects Productization


Intelligent ad placement
  • Accurately detecting ads of any type
  • Adapting commercials to particular scenes
  • Making advertisement less intrusive
  • Avoiding ad insertions in sensitive content

Deep tech


Sport highlights generation
  • Identifying any sports type
  • Detecting key moments in matches
  • Suggesting relevant content in real time
  • Automatically compiling engaging sport highlights

Connected world


Content personalization
  • Revealing hidden dependencies in scenes
  • Rapidly enriching content metadata
  • Going beyond traditional metadata like genres, actors, tags, etc.
  • Providing hyper-personalized content recommendations

Content DNA platform in action

Rapidly compiling soccer highlights for increased fan engagement
  • n-depth analysis of soccer videos, both live and VoD
  • Accurate identification of key moments in matches like goals, scoring chances, and fouls, as well as audience reactions
  • Rapid athlete-specific scene search powered by in-house face recognition SDK
  • Smart detection of scene replays
  • Customizable filters enabling manual highlight selection
  • Seamless highlights upload to multiple video hosting platforms
  • Intelligent ad placement
Content DNA platform in action
Face recognition SDK

Face recognition SDK

We speeded up the development of a live TV solution, enabling our client to sharpen the competitive edge.
  • Multiple face detection in real time
  • Maximum accuracy and performance with any kind of input
  • Adjustable speed-to-accuracy parameters and trigger thresholds
  • Dynamic link library available for 32-bit and 64-bit versions of Windows and Linux
  • Ease of integration with C++/C#/Java code

Face recognition in action

Next-Generation WebRTC-Based Proctoring Platform.
  • Seamless WebRTC-based video stream capture and playback
  • Machine learning-supported face recognition based on a customized build of the OpenCV library
  • Automated session flagging based on a range of triggers
  • Scoring functionality that assigns penalty points for suspicious activity
  • User identity validation based on a biometric profile
  • Easy-to-use text and audio chat functionality
  • Advanced reporting and statistics across test-takers, exams, and educational establishments
Face recognition in action