Admin By Request EPM is an endpoint privilege management solution for Windows, macOS, and Linux. It removes permanent local admin rights and grants elevation only when a task requires it, so a compromised account can't take over an entire system. Elevation applies to applications rather than user accounts, and privileges can be delegated by user or group to fit developers, general staff, and third-party contractors alike. Threat and behavioral analytics identify risky users, assets, and software, and every session is logged for auditing. The solution runs from a single portal, works online or offline, and requires no additional servers or databases.
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An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Rev
Rev is an Investigative Intelligence Platform built for legal, law enforcement, court reporting, and investigative workflows. The platform helps teams turn audio, video, documents, police reports, depositions, body cam footage, medical records, and case files into searchable and citable records. Rev combines AI transcription, human transcription, evidence analysis, document editing, image analysis, AI templates, clipping, and secure dictation. Users can ask direct questions across evidence files to identify contradictions, reconstruct timelines, find key moments, and support case preparation. Every AI-generated answer is tied back to the original record so teams can verify findings instead of relying on unsupported model output. Rev also helps users turn findings into memos, outlines, case summaries, motions, trial briefs, affidavits, and other legal work product. Its transcript editor allows teams to mark up testimony, create timestamped clips, and securely share evidence with trial teams. Rev emphasizes security with encryption, legal workflow controls, and a policy that uploaded data is not sold or used to train third-party LLMs. By combining transcription, evidence search, AI analysis, citations, secure collaboration, and legal drafting workflows, Rev helps investigative teams find critical facts faster.
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MAXScribe
MAXScribe, created by Stenograph, offers a comprehensive platform tailored for digital court reporters and transcriptionists, featuring multi-channel audio capture, instantaneous translation through the Phoenix Automatic Speech Recognition (ASR) technology, and sophisticated editing capabilities all in one system. It accommodates up to 50 audio channels, making it ideal for smooth recording in remote or hybrid environments, particularly when used in conjunction with tools like CaseTestify. The system leverages Stenograph's proprietary ASR engine for near real-time translation of speech into text, significantly boosting efficiency and allowing for services like immediate readback and same-day rough drafts. Additionally, it enables multiple users to collaboratively edit transcripts at the same time, providing real-time updates that streamline the production workflow. Clients benefit from interactive and immediate access to transcripts, which enhances their involvement during court proceedings, and the platform's user-friendly interface ensures that users can easily navigate its features. This holistic approach not only enhances the transcription process but also fosters a more engaging experience for all parties involved.
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