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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LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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CallFinder
Transform Your QA with the Speech Analytics Experts: CallFinder’s speech analytics software automates outdated, manual QA processes to save time and provide immediate insights so you can make data-driven decisions. Spend your valuable time coaching agents on what matters most to you and your customers.
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EchoDepth
EchoDepth, developed by Cavefish, serves as an Emotional Risk Intelligence platform that evaluates how messages will be received prior to their actual delivery, providing a risk score for communication across formats such as video, voice, and text. In contrast to traditional sentiment analysis, which categorizes language as either positive or negative after the communication has occurred, EchoDepth focuses on analyzing observable delivery signals and generates scored, timestamped reports that highlight moments of audience disengagement and suggest necessary adjustments. This measurement is grounded in the Facial Action Coding System standard, utilizing 44 Action Units that are calibrated across 14 cultural groups in 6 different countries, making it more precise than standard image classification techniques. Rather than labeling emotions directly, EchoDepth conveys what facial muscles are doing, allowing for interpretation to be contextually assessed by human reviewers, ensuring a robust framework for regulated use. Common applications of this platform include reviewing earnings calls and investor communications, detecting vulnerabilities related to FCA Consumer Duty, preventing escalations in contact centers, scoring interview consistency, and enhancing defense strategies, showcasing its versatility in various scenarios. By leveraging this technology, organizations can improve their communication strategies and foster stronger connections with their audiences.
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