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PFT’s CLEAR Vision Cloud is a Media Recognition AI platform that is a fusion of home-grown AI engines (over 35 & counting) and best-of-breed AI models enveloped by PFT's unique Machine Wisdom layer. The Machine Wisdom makes a higher-level sense of details identified by the basic AI engines to increase accuracy and actionability. Think of it as an AI platform with a human-like brain (or close to it). Along with Technology, PFT offers bespoke strategic Consulting services to ensure AI works for the customer, taking into consideration their specific business challenges and unique content.
The data delivered by CLEAR Vision Cloud can be utilized as XML output or through an API that we publish. However, certain Action Toolkits are bundled with the Data Packs so that you can easily visualize, do QC, audit and validate the data. Modular Data Packs include Basic Metadata, Advanced Metadata, Premium Metadata, Video Comparison, Compliance, and Transcripts. Action Toolkits, as the name suggests, are ready-to-use to address specific M&E use cases. The Action Toolkits include – Segmentation, Discovery, Package Builder, Content Moderator, Language Tools, Video Comparator, and Content QC.
Automatically generate, transcribe, trans-create subtitles in over 60 Languages.
Our partners help us win together by bringing on-board the power of their technology prowess and brand strength which we marry with our product strengths and industry insights. Amazon Web Services (AWS) is our key partner who enables us to bring alive CLEAR Vision Cloud. Other partners include Microsoft and Google.
CLEAR provides tangible benefits when run on AWS. Integration of CLEAR and AWS empowers customers with the freedom to choose from multiple compute and storage options to scale infrastructure with very minimal capex investment. AWS and PFT’s best-in-class cloud services together give customers superior advantages of productivity, security, privacy, scalability and lower costs.
PFT’s CLEAR uses Amazon Rekognition for multiple AI use cases involving vision and speech. Our Content Moderation Action Toolkit is built on top of AWS APIs with similar nomenclature. We also use Amazon speech to text and text to speech known as Poly for transcript and speech synthesis solutions. We will be gradually migrating Vision Cloud to AWS Cloud infra to support customers already on AWS. Our Content Localization and Subtitling tool in CLEAR uses AWS APIs.
The data delivered by CLEAR Vision Cloud can be utilized as XML output or through an API that we publish. However, certain Action Toolkits are bundled with the Data Packs to easily visualize, do QC, audit, and validate the data.
The Vision Cloud platform is hosted on Azure Cloud. We take advantage of their storage and compute resources across geographies to store and process media assets, store AI generated data and indices, build and train machine learning models, and host our services API set. We also use several of their cognitive services in the areas of vision, language and speech to build our AI solutions. Together, we co-sell our bespoke solutions to prospective customers by leveraging the strength of Microsoft platform and AI engine components in conjunction with our M&E industry-specific models, synthesis and curation of data using our ‘Machine Wisdom’ models, and our consulting offerings.
CLEAR Vision Cloud uses several advanced AI and machine learning services from Google Cloud Platform (GCP). These APIs include vision, speech-to-text, machine translation and transliteration among others. We are also migrating Vision Cloud platform to GCP so that we can support customers already on Google Cloud.
