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<!DOCTYPE html>
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<title>LinTO - Enterprise solutions</title>
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<ul>
<li class="parent"><a href="#positionnement-technologique" class="content-nav-link">Technological positioning</a>
<ul>
<li class="child"><a href="#deploy-infra" class="content-nav-link">LinTO on your infrastructures</a></li>
<li class="child"><a href="#ready-for-futur" class="content-nav-link">Ready for industry 4.0?</a></li>
<li class="child"><a href="#amazing-functionnalities" class="content-nav-link">Exciting features coming soon</a></li>
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<ul>
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<li class="child"><a href="#linto-server" class="content-nav-link">LinTO - Server</a></li>
<li class="child"><a href="#linto-linstt" class="content-nav-link">LinTO - LinSTT</a></li>
<li class="child"><a href="#outstanding-performances" class="content-nav-link">Outstanding performances</a></li>
<li class="child"><a href="#linto-nlu" class="content-nav-link">LinTO - NLU</a></li>
<li class="child"><a href="#linto-skills" class="content-nav-link">LINTO - Skill Server</a></li>
<li class="child"><a href="#linto-admin" class="content-nav-link">LINTO - Admin</a></li>
<li class="child"><a href="#deploy-on-premise" class="content-nav-link">LinTO on premise</a></li>
</ul>
</li>
<li class="parent"><a href="#linto-in-solutions" class="content-nav-link">LinTO as part of your solutions</a>
<ul>
<li class="child"><a href="#linto-raspberry-arm" class="content-nav-link">LinTO for Raspberry Pi & ARM systems</a></li>
<li class="child"><a href="#linto-multiplateforme" class="content-nav-link">Multi-platform LinTO</a></li>
<li class="child"><a href="#without-android" class="content-nav-link">Android voice assistant WITHOUT Google</a></li>
</ul>
</li>
</ul>
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<section class="gradient" id="enterprises-solutions-top">
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<h3 class="content-title">Maintained by LINAGORA</h1>
<p>The LinTO platform is an Open-Source toolbox designed to address professional and industry needs by enabling the development and integration of voice operated processes.</p>
<p>The research project, which is funded by the French government's PIA (Programme d'Investissement d'Avenir, for “Future Investment Program”) as part of the Grands Défis du Numérique, is a collaboration between French companies, LINAGORA and ZELROS, and French research laboratories, IRIT, LaaS and LIX.</p>
<h3 class="content-title">Our business model</h3>
<p>The Open Source system is made fully available under the <a href="https://doc.linto.ai/#/?id=gnu-affero-general-public-licence" target="_blank" class="content-link">GNU Affero licence</a>, with no hidden costs, no license fees, and no freemium model. </p>
<p>The LinTO platform can be deployed, adapted or maintained either directly on your company’s premises or remotely as a service (SaaS). We also offer quality mentorship and software tailored to your needs.</p>
</div>
<div class="flex1 flex col enterpise-top-img">
<img src="./assets/img/linto.svg" alt="LinTO" class="linto-ent">
<a href="https://linagora.com/" target="_blank"><img src="./assets/img/by-linagora.svg" alt="By Linagora" class="by-linagora"></a>
</div>
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<section class="content-section enterprise section-anchor" id="positionnement-technologique">
<div class="wrapper flex col">
<div class="section-title-container">
<h2 class="section-title">Technological positioning</h2>
</div>
<h3 class="content-title title-anchor" id="deploy-infra">Deploy LinTO on your company’s infrastructures</h3>
<div class="flex row flex-content">
<div class="flex2 content">
<p>We address the need for data sovereignty for actors in industry, medicine, banking, etc. More generally, we offer a system compatible with user privacy and General Data Protection Regulation (GDPR).</p>
<p>The platform components are designed to be deployed on your own infrastructures, independently, according to a fully scalable client-server architecture.</p>
</div>
<div class="flex1 flex centered">
<img class="gafam-free" alt="GAFAM free" src="./assets/img/gafam-free.png" />
</div>
</div>
<h3 class="content-title title-anchor" id="ready-for-futur">Are you ready for industry 4.0?</h3>
<h4 class="content-sub-title">Go beyond a simple voice remote control system</h4>
<ul class="content-list">
<li>Adaptation and centralized updating of business-specific vocabulary (entity names, terms of art, proper names, etc.)</li>
<li>Real-time audio transcriptions of conversations of varying length with one or more speakers</li>
<li>Interoperability designed for your information system and any API driven backends</li>
<li>Centralized operation and maintenance of “fleets” of voice access points</li>
<li>Use in your Business to Consumer (B2C) products</li>
<li>Voice client portability</li>
</ul>
<h4 class="content-sub-title">A truly complete solution, ready to be deployed and used</h4>
<p>A full integration of leading speech recognition tools in your workflows means that LinTO’s features can be deployed effectively and efficiently.</p>
<table id="compare-table">
<thead>
<tr>
<th class="blank"></th>
<th class="linto">LinTO</th>
<th>GAFAM / IBM / Nuance</th>
<th>Snips</th>
<th>MyCroft</th>
</tr>
</thead>
<tbody>
<!-- Open source -->
<tr>
<td class="option">Open Source</td>
<td>
<span class="icon linto"></span>
<span class="label linto">Complete, free</span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Some parts</span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Some parts</span>
</td>
</tr>
<!-- Speech To Text -->
<tr>
<td class="option">Speech To Text</td>
<td>
<span class="label label-only linto">*On premise</span>
</td>
<td>
<span class="label label-only yes">Cloud</span>
</td>
<td>
<span class="label label-only yes">Embedded only</span>
</td>
<td>
<span class="label label-only yes">Cloud (GAFAM / IBM)</span>
</td>
</tr>
<!-- Large vocabulaire -->
<tr>
<td class="option">Rich vocabulary</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon yes"></span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Partial</span>
</td>
</tr>
<!-- Adaptation au vocabulaire -->
<tr>
<td class="option">Vocabulary adaptation</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Partial</span>
</td>
<td>
<span class="icon no"></span>
</td>
</tr>
<!-- Fournit des APIs -->
<tr>
<td class="option">API access</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Extra fee</span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon no"></span>
</td>
</tr>
<!-- Données privées -->
<tr>
<td class="option">Data privacy</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
</td>
<td>
<span class="icon no"></span>
</td>
</tr>
<!-- Usage B2C -->
<tr>
<td class="option">B2C use</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Extra fee</span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">For simple remotes</span>
</td>
<td>
<span class="icon no"></span>
</td>
</tr>
<!-- Intéropérabilité avec vos APIs et sources de données -->
<tr>
<td class="option">Interoperability with your APIs and data sources</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Limited</span>
</td>
<td>
<span class="icon yes"></span>
</td>
</tr>
<!-- Exploitation, monitoring de flottes -->
<tr>
<td class="option">Exploitation, monitoring fleet</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Partial</span>
</td>
<td>
<span class="icon no"></span>
</td>
</tr>
<!-- Client Multiplateforme -->
<tr>
<td class="option">Multiplatform client</td>
<td>
<span class="icon linto"></span>
<span class="label linto">Raspberry Pi, Android system and Web (coming soon)</span>
</td>
<td>
<span class="icon no"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Embedded systems, Raspberry Pi</span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Embedded systems, Raspberry Pi</span>
</td>
</tr>
<!-- Usage professionel -->
<tr>
<td class="option">Professional use</td>
<td>
<span class="icon linto"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Not recommended</span>
</td>
<td>
<span class="icon yes"></span>
</td>
<td>
<span class="icon yes"></span>
<span class="label yes">Not recommended</span>
</td>
</tr>
</tbody>
</table>
<p class="compare-infos"><strong>*On premise</strong>: In some cases (simple command mode), LinTO's Speech To Text service can be embedded in the target hardware device; please contact us for further information. LinTO also offers a Wake Word feature that is embedded in the voice client.</p>
<h3 class="content-title title-anchor" id="amazing-functionnalities">Exciting features coming soon</h3>
<p>The product roadmap is the result of an ambitious research project and is centered around the development of large vocabulary, multimodal and multi-speaker functionalities.</p>
<p>Drawing on recent advances in AI and machine learning, we will soon offer new tools to facilitate the production of meeting minutes and summaries, including complete multi-speaker transcription, speaker identification, and visual (video-based) recognition of participants.</p>
<div class="sub-part">
<h4 class="content-sub-title">Our publications on these topics:</h4>
<ul class="publication-list">
<li><a href="https://www.aclweb.org/anthology/P19-1061.pdf" target="_blank" class="content-link">Data Programming for learning discourse structure</a></li>
<li class="conf"><i>Conference</i> : <a href="http://www.acl2019.org/EN/index.xhtml" target="_blank" class="content-link">ACL 2019</a></li>
<li><a href="https://www.irit.fr/pfia2019/wp-content/uploads/2019/07/actes_TALN-RECITAL-courts_CH_PFIA2019-2.pdf#%5B%7B%22num%22%3A102%2C%22gen%22%3A0%7D%2C%7B%22name%22%3A%22XYZ%22%7D%2C56.693%2C771.024%2Cnull%5D" target="_blank" class="content-link">Apprentissage faiblement supervisé de la structure discursive</a></li>
<li class="conf"><i>Conference</i> : <a href="https://www.irit.fr/pfia2019/taln-recital/" target="_blank" class="content-link">TALN-RECITAL 2019</a></li>
<li><a href="http://www.dialog-21.ru/media/4584/badenesplusetal-112.pdf" target="_blank" class="content-link">Learning multi-party discourse structure using weak supervision</a></li>
<li class="conf"><i>Conference</i> : <a href="http://www.dialog-21.ru/en/" target="_blank" class="content-link">Dialogue 2019</a></li>
<li><a href="https://www.aclweb.org/anthology/D19-1234.pdf " target="_blank" class="content-link">Weak Supervision for Learning Discourse Structure</a></li>
<li class="conf"><i>Conference</i> : <a href="https://www.emnlp-ijcnlp2019.org/" target="_blank" class="content-link">EMNLP 2019</a></li>
<li><a href="https://www.researchgate.net/profile/Thomas_Pellegrini/publication/335829099_CharCV-CTC_Combining_Graphemes_and_ConsonantVowel_Units_for_CTC-Based_ASR_Using_Multitask_Learning/links/5d88b583a6fdcc8fd6138f93/Char-CV-CTC-Combining-Graphemes-and-Consonant-Vowel-Units-for-CTC-Based-ASR-Using-Multitask-Learning.pdf" target="_blank">Char+CV-CTC: combining graphemes and consonant/vowel units for CTC-based ASR using Multitask Learning</a></li>
<li class="conf"><i>Conference</i> : <a href="https://interspeech2019.org/" target="_blank" class="content-link">Interspeech 2019</a></li>
<li><a href="https://www.aclweb.org/anthology/attachments/P18-1062.Notes.pdf" target="_blank">Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization</a></li>
<li class="conf"><i>Conference</i> : <a href="https://acl2018.org/" target="_blank" class="content-link">ACL 2018</a></li>
<li><a href="https://link.springer.com/chapter/10.1007/978-3-319-68456-7_20" target="_blank" class="content-link">Lexical Emphasis Detection in Spoken French Using F-BANKs and Neural Networks</a></li>
<li class="conf"><i>Conference</i> : <a href="http://grammars.grlmc.com/SLSP2017/" target="_blank" class="content-link">SLSP 2017</a></li>
</ul>
</div>
</div>
</section>
<section class="content-section enterprise section-anchor" id="linto-in-enterprise">
<div class="wrapper flex col">
<div class="section-title-container">
<h2 class="section-title">LinTO in your company</h2>
</div>
<h3 class="content-title title-anchor" id="architecture">Modular client-server architecture and services</h3>
<div class="flex row flex-content">
<div class="flex1 flex col">
<img src="./assets/img/schema-services.png" class="schema-services">
</div>
<div class="flex3 content">
<p>The LinTO platform is made of independent services and usable as you wish in a client / server logic</p>
<div id="linto-animation"></div>
</div>
</div>
<h3 class="content-title title-anchor" id="linto-server">LinTO Client Connection Service: LinTO - Server</h3>
<div class="flex row flex-content">
<div class="flex1 content">
<p>This component is the secure entry point for all the client systems of your platform</p>
<p>It uses the standard IoT MQTT to ensure real-time operation with perfect service quality</p>
<p>Any software with MQTT or WebSocket connectivity can establish a connection with your platform</p>
</ul>
</div>
<div class="flex1 flex centered">
<img src="./assets/img/schema-linto-server.png" class="schema-server">
</div>
</div>
<h3 class="content-title title-anchor" id="linto-linstt">Speech transcription service: LinTO - LinSTT</h3>
<p>The cornerstone of the LinTO platform, LinTO - LinSTT transcribes audio provided via an API</p>
<ul class="content-list">
<li>Usable via streaming or file-upload</li>
<li>Can be integrated into other workflows within the company, for example, to add voice access to existing business applications or chatbots</li>
<li>Responds entirely to the industrial challenges of deployment and service quality with a solid scalable implementation on clusters and a management API</li>
<li>Transmits results in text format for audio files of varying length</li>
<li>Adaptable to specific use cases using specialized AI models</li>
<li>Effectively transcribes proper names and business terms of art, and provides context-specific formatting (dates, numbers, acronyms...)</li>
<li>Automatically learns from your usage when you add or remove skills from your platform</li>
</ul>
<div class="sub-part flex col" id="outstanding-performances">
<h4 class="content-sub-title">Outstanding Performances</h4>
<span class="table-label">Expressed as error rate (Word Error Rate)</span>
<div class="flex row">
<div class="flex1">
<table class="content-table">
<thead>
<tr>
<th class="blank" colspan="2"></th>
<th class="title parole-lue">Read speech</th>
<th class="title parole-spontanee">Spontaneous speech</th>
</tr>
</thead>
<tbody>
<tr>
<td class="brand-logo">
<img src="./assets/img/brands/logo-google.png" alt="google">
</td>
<td class="brand-text">Google</td>
<td class="val">15.37%</td>
<td class="val">22.80%</td>
</tr>
<tr>
<td class="brand-logo">
<img src="./assets/img/brands/logo-wit.png" alt="Wit.ai">
</td>
<td class="brand-text">Wit.ai</td>
<td class="val">17.69%</td>
<td class="val">24.18%</td>
</tr>
<tr>
<td class="brand-logo">
<img src="./assets/img/brands/logo-bing.png" alt="Bing">
</td>
<td class="brand-text">Bing</td>
<td class="val">12.34%</td>
<td class="val">14.08%</td>
</tr>
<tr>
<td class="brand-logo">
<img src="./assets/img/brands/logo-speechmatics.png" alt="speechmatics">
</td>
<td class="brand-text">Speechmatics</td>
<td class="val">14.42%</td>
<td class="val">17.62%</td>
</tr>
<tr>
<td class="brand-logo">
<img src="./assets/img/brands/logo-nuance.png" alt="nuance">
</td>
<td class="brand-text">Nuance</td>
<td class="val">17.96%</td>
<td class="val">16.81%</td>
</tr>
<tr>
<td class="brand-logo">
<img src="./assets/img/brands/logo-ibm.png" alt="IBM">
</td>
<td class="brand-text">IBM</td>
<td class="val">25.14%</td>
<td class="val">36.93%</td>
</tr>
<tr class="linagora">
<td class="brand-logo">
<img src="./assets/img/brands/logo-linagora.png" alt="linagora">
</td>
<td class="brand-text">Lin XtraLarge</td>
<td class="val">10.07%</td>
<td class="val">10.49%</td>
</tr>
</tbody>
</table>
<details>
<summary style="outline:none; cursor:pointer;">Evaluation Protocol</summary>
<ul class="content-list">
<li>Corpus selection:
<ul>
<li>The results are based on two corpora, one of read speech and one of spontaneous speech, each consisting of 30 minutes of selected audio segments paired with their verbatim transcriptions.</li>
<li>All recordings were carried out in a clean environment ("SNR ~= 20").</li>
<li>The corpus of read speech consists of 8 speakers (4 men and 4 women) reading a French newspaper.</li>
<li>The corpus of spontaneous speech comes from a radio program involving 15 male speakers.</li>
</ul>
</li>
<li>Calculation of performance and normalization:
<ul>
<li>Performance was evaluated on the verbatim transcription without punctuation following a normalization of numbers, dates, percentages, etc.</li>
<li>The Word Error Rate (WER) reported in the table measures the amount of insertion, suppression, or word substitution predicted relative to the normalized transcripts. The lower the value, the higher the system’s performance.</li>
</ul>
</li>
</ul>
</details>
</div>
</div>
</div>
<h3 class="content-title title-anchor" id="linto-nlu">Natural Language Understanding system: LinTO - NLU</h3>
<p>This component evaluates and understands natural language provided to its API in text format. It detects intentions, resolves entities and produces a JSON response that can then be used by the skills execution service.</p>
<ul class="content-list">
<li>Based on the <a href="https://github.com/theopenconversationkit/tock" target="_blank" class="content-link">SNCF Tock project</a> (The Open Conversation Kit)</li>
<li>Supports other engines such as <a href="https://rasa.com/" target="_blank" class="content-link">Rasa</a> or <a href="https://nlp.stanford.edu/" target="_blank" class="content-link">Stanford NLP</a></li>
<li>Supports the use of several AI models dedicated to specific use cases</li>
<li>Automatically learns according to your usage when adding or removing skills from your platform</li>
</ul>
<h3 class="content-title title-anchor" id="linto-skills">Skills Execution service: LinTO - Skill Server</h3>
<p>Based on IBM's <a href="https://nodered.org" target="_blank" class="content-link">Node Red</a> it allows the implementation of skills for one or more LinTO customers in a given business context (a meeting room, a corridor or even as part of the management of a voice application).</p>
<ul class="content-list">
<li>Compatible with all skills in the existing Node Red skills base (more than 2000!)</li>
<li>Centralized configuration of data bus systems, authentication information, etc.</li>
<li>Straightforward development of custom business skills with many examples provided - <a href="https://doc.linto.ai/" target="_blank" class="content-link">see documentation</a></li>
<li>Automatic re-training of AI models when deploying or deleting skills and dictionaries</li>
<li>Easy interoperability of skills with all your APIs or connected objects through visual workflow programming</li>
</ul>
<h3 class="content-title title-anchor" id="linto-admin">LinTO Administration Interface: LinTO - Admin</h3>
<p>All configuration operations and platform maintenance are handled through a web application. </p>
<ul class="content-list">
<li>Provides templates to define specific workflows for each context that you need to manage (meeting room, application, etc.)</li>
<li>Offers visual workflow editing (adding/removing skills)</li>
<li>Manages updates and operation of device fleets</li>
<li>Permits real-time monitoring of connected LinTO devices</li>
<li>Allows for provisioning and deployment of LinTO devices by serial number</li>
<li>Offers remote control of volume, network connectivity, languages, etc.</li>
</ul>
<h3 class="content-title title-anchor" id="deploy-on-premise">Example of LinTO Deployment on premise</h3>
<div class="flex row flex centered">
<img class="schema-deploy-linto" src="./assets/img/schema-linto-deploy.png">
</div>
</div>
</section>
<section class="content-section enterprise section-anchor" id="linto-in-solutions">
<div class="wrapper flex col">
<div class="section-title-container">
<h2 class="section-title">LinTO as part of your solution</h2>
</div>
<h3 class="content-title title-anchor" id="linto-raspberry-arm">LinTO for Raspberry Pi & ARM systems</h3>
<p>We currently offer a standard LinTO device that runs on the Raspberry Pi (or other ARM smart boards). This option is ideal for demonstrating your R&D work on automatic speech recognition in business.</p>
<p>This is a turnkey solution available from our <a href="https://doc.linto.ai/" target="_blank" class="content-link">developers website</a> in the form of a Raspberry kit, guides and download links.</p>
<p>For makers, hobbyists and R&D teams who want to free themselves from any dependence on GAFAM systems, we offer the most advanced and state-of-the-art system for open-source voice assistant projects.</p>
<ul class="content-list">
<li>Customizable embedded Wake Word(s) models</li>
<li>Voice processing chain contained entirely on clean infrastructures</li>
<li>Complete suite of ARM system image creation tools based on the Qemu emulator</li>
<li>Rich and easily adaptable graphical interface</li>
</ul>
<p>LINAGORA offers complete project management assistance in order to help you move from a prototype to production of a fleet of devices that meet your specific criteria.</p>
<h3 class="content-title title-anchor" id="create-smart-assistant">Would you like to design a smart-assistant?</h3>
<div class="flex row">
<div class="flex1">
<p>In this growing market, many players such as MyCroft, Archos or Sonos, offer solutions built around Google Home or Alexa.</p>
<p>However, certain characteristics of these systems - no data protection and no business vocabulary adaptation - limit them to a B2C market that is not (yet) concerned by data sensitivity and criticality issues.</p>
<p>The LinTO platform embraces these challenges from the start in order to be the engine that catapults your professional product.</p>
</div>
</div>
<h3 class="content-title title-anchor" id="linto-multiplateforme">Multi-platform LinTO</h3>
<p>The connection of a device system to the platform is simplified by using the LinTO - Server component that supports the standard IoT protocol, MQTT. This connection is easily implemented in the development of software dedicated to your project.</p>
<p>In order to streamline the LinTO experience, the development of LinTO applications for Android and web are front and center on our product roadmap.</p>
<p>This multi-platform device is currently under development and aims to deliver against industry expectations for solution deployment without specialized development (first public version target Q2 2020).</p>
<h3 class="content-title title-anchor" id="without-android">Android voice assistant WITHOUT Google</h3>
<p>Several initiatives exist to "de-google" Android phones (<a href="https://lineageos.org/" target="_blank" class="content-link">Lineage OS</a> or <a href="https://e.foundation/?lang=fr" target="_blank" class="content-link">/e/</a> project).
</p>
<p>These initiatives are based on various alternative APIs for Google products (<a href="http://www.nicola-spanti.info/fr/documents/tutorials/computing/os/android/without-google-as-a-user.html" target="_blank" class="content-link">example</a>)</p>
<p>Alternatives exist for push notifications, maps, the search engine, etc., but there are none to replace the famous "Ok, Google".</p>
<p>Many companies distribute professional Android products through this type of AOSP (<a href="https://source.android.com/" target="_blank" class="content-link">Android Open Source Project</a>) distribution but are in a deadlock with respect to voice-operated solutions.</p>
<p>The LinTO platform aims to finally implement voice interactivity in an Android mobile device that fully respects user data privacy. If you see this as the right solution for your company, contact us for an overview of our system capabilities.</p>
</div>
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