Gyrus AI

Streamline video workflows and automate media indexing with semantic search and identity recognition, enabling broadcasters to find specific content in seconds.

Gyrus AI screenshot

About Gyrus AI

Gyrus AI is an advanced video analytics platform designed to modernize how organizations manage, search, and utilize their video assets. At its core, the platform leverages semantic media search technology, which allows users to find specific moments, objects, or individuals within a video library using natural language or visual cues rather than relying on manual metadata entry. This solution addresses the growing challenge of managing exponential increases in video content, providing a way to turn "dark" data into accessible, searchable information for various business applications. The technology stack incorporates sophisticated machine learning and computer vision algorithms to perform identity recognition and vision analytics. In practice, this means the system can automatically index footage, recognizing faces, logos, and specific actions. One of its standout features is its ability to integrate directly with existing Media Asset Management (MAM) and Digital Asset Management (DAM) systems. This integration transforms legacy repositories into intelligent, searchable databases, significantly reducing the time production teams spend searching for specific clips or segments within their archives. This platform is primarily tailored for high-volume media environments, such as broadcasters, content creators, and large enterprise organizations. For broadcasters specifically, it solves the problem of navigating decades of archived footage, making it possible to retrieve relevant historical clips in seconds for live news or documentary production. It is also beneficial for any industry requiring large-scale video monitoring or detailed visual data analysis, where human oversight alone is insufficient or too costly to maintain manually. What distinguishes Gyrus AI from standard video search tools is its emphasis on precision and environmental tailoring. Founded by a team of industry veterans from major semiconductor and technology firms like Qualcomm and Broadcom, the company focuses on delivering high-accuracy algorithms that are optimized for specific use cases. Furthermore, the platform is designed with enterprise-grade standards in mind, ensuring GDPR compliance and offering flexible deployment strategies to meet the security and infrastructure needs of large-scale operations.

Gyrus AI pros & cons

Pros

  • Seamless integration with existing MAM systems like Media Hive for easier workflow transitions.
  • Founded by industry veterans with 20+ years of experience at top-tier firms like Qualcomm and Broadcom.
  • Algorithms are tailored to specific environments to ensure high precision and recall for every use case.
  • Global presence with technical operations and support across the USA, UK, Europe, Brazil, and Japan.

Cons

  • Pricing is not transparently listed and requires a custom demo request for any quote.
  • Detailed minimum system requirements are not publicly available without contacting their technical team.

Gyrus AI use cases

  • Broadcasters can transform legacy MAM systems into smart searchable archives to retrieve specific clips instantly for live news.
  • Media organizations can automate the tagging and indexing of large video libraries to reduce manual labor and improve discoverability.
  • Enterprise security teams can utilize identity recognition and vision analytics to monitor video feeds for specific events or individuals.
  • Data scientists can leverage the platform's vision analytics to generate predictive insights from large-scale visual datasets.

Gyrus AI features

  • enterprise-grade security
  • predictive insights
  • contextual search
  • vision analytics
  • mam and dam integration
  • automated media indexing
  • identity recognition
  • semantic media search

Gyrus AI pricing

Is Gyrus AI free? No, Gyrus AI doesn't offer a free plan.

Enterprise

Price varies

  • Semantic Media Search
  • Identity Recognition
  • Vision Analytics
  • MAM/DAM Integration
  • Automated Media Indexing
  • GDPR Compliance
  • Dedicated Technical Support
  • Custom AI Algorithm Tailoring

Gyrus AI FAQs

Can Gyrus AI integrate with my existing Media Asset Management (MAM) system?

Yes, Gyrus AI is designed to integrate with existing DAM and MAM systems, such as Tecla Systems’ Media Hive. This allows organizations to add semantic search and automated indexing capabilities to their current workflows without needing to replace their entire infrastructure.

Is the platform compliant with international data regulations like GDPR?

Yes, Gyrus AI is GDPR compliant, ensuring that video processing and data handling meet strict privacy standards. This is particularly important for organizations using identity recognition features in regions with rigorous data protection laws.

What industries benefit most from using Gyrus AI?

While versatile, the tool is primarily built for broadcasters and media organizations managing vast video archives. It is also highly effective for enterprise-level video analytics, where identity recognition and automated vision processing are required for productivity.

How do I get started with a deployment?

Potential users can request a demo through the official website to see the solutions in action. The company provides expert consultations to discuss specific deployment options and system requirements tailored to the organization's needs.

Open roles

All AI jobs

Full Stack Engineer. AWS Expertise

Education Requirements:

  • Bachelor's, Master's in Computer Science or equivalent experience

Experience Requirements:

  • 2+ Years of job-related experience

Other Requirements:

  • Proficiency within C++ or Python

  • Basic DevOps skills

  • Good experience in MongoDB, Cassandra, Kafka

  • Broad experience in overall system design and implementation

  • Ability to design scalable systems

  • An understanding of domain modeling and fluent interface

  • Experience applying design patterns in concurrency scenarios

  • Familiarity with Web technologies (HTML, CSS, DOM, JavaScript, and SVG)

  • Proven experience in designing persistence and caching models using both SQL and NoSQL

Responsibilities:

  • Design, build, and maintain data infrastructure for both production and internal research

  • Design platform and tools to facilitate research

  • Administer and maintain computing cluster

  • Maintain production job scheduler

  • Setup and Maintain authentication systems for API's

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Signal Processing Engineer

Education Requirements:

  • MS/BS in EE or CS

Experience Requirements:

  • 5+ yrs developer experience required

  • Required MatLab/Octave: 5 years

Other Requirements:

  • Extensive C or C++ programming experience in real-time embedded systems required

  • MatLab or GNU Octave DSP Algorithm development and simulation experience

  • In-depth knowledge and development experience with wireless communication protocols

  • Strong analysis, design and debug skills

  • Ability to work independently, meet project deadlines and document work

Responsibilities:

  • Design, Analyze and Develop Wireless systems

  • Design wireless algorithms for wireless sensing, denoising for various real-world scenarios.

  • Test and optimize the algorithms to meet real-time and performance requirements.

  • Integrate sub-systems and test functionality at the system level along with other ML/AI algorithms.

  • Measure and optimize to meet system-level performance and operational requirements

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