Speech technology leader recognized for continued innovation and significant market growth driven by breakthrough technology advances
MCLEAN, Va.-- AppTek, a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT), today announced that for the second consecutive year, the company is a winner of the 2019 Northern Virginia Technology Council (NVTC) Tech 100 awards. This prestigious award recognizes groundbreaking companies, leaders and innovators within the Greater Washington, D.C. technology community.
AppTek utilizes deep neural networks to transcribe and understand speech- and text-based data, thereby delivering more accurate and efficient translations in over 30 languages and dialects. The company provides speech-to-speech, speech-to-text and text-to-meaning technologies that support a broad array of functions such as: media and entertainment captioning and subtitling, call center call transcription and analytics, improved content accessibility, voice-enabled commerce, government and enterprise business application translation and more. These applications allow for greater access to content for users worldwide.
AppTek CEO Mudar Yaghi noted that “We are so pleased to be chosen by NVTC again this year for inclusion on the prestigious Tech 100 list. This honor acknowledges our place in the highly innovative and competitive tech community in the DC Metro. It also reinforces our constant commitment to achieving breakthrough innovations that advance our world-class speech and language technologies.”
The NVTC award caps a momentous year for AppTek, which has seen the company’s recent acquisition of Ignite-Tek, a leading customer acquisition engine for effectively gathering marketing intelligence, as well as expansion of its executive leadership team and the doubling of its employee base. Other notable 2019 accomplishments include partnerships with speech localization leaders yellaUmbrella and Straker Translations, and AppTek’s inclusion on the newly launched Booz Allen Hamilton Modzy™ Platform, which offers pre-trained machine learning and artificial intelligence models to enterprises and governments.
AppTek will be recognized at the NVTC Tech 100 awards banquet on December 9, 2019 at the Ritz-Carlton in Tysons, Virginia.
The Northern Virginia Technology Council (NVTC) is the membership and trade association for the technology community in Northern Virginia. NVTC serves 1,000 companies from across the technology industry, representing 350,000 employees in the region.
About AppTek
AppTek artificial intelligence and machine learning-based automatic speech recognition and machine translation platform is deployed for the media and entertainment industry as well as call centers. Leveraging over 30 years’ worth of experience its scientists and research engineers support the research and development of practical systems – AppTek enables the highest quality automatic speech recognition and machine translation solutions available anywhere for enterprises everywhere. The streaming real-time combination allows for live closed captioning and speech to speech translation as in the AppTek closed captioning appliance available to TV stations and the Talk2me® app available on the AppStore. AppTek’s ASR and Neural MT are also available via its cloud API services. For more information, please visit http://www.apptek.com/technology.
AppTek.ai is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U), large language models (LLMs) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading solutions for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek’s solutions cover a wide array of languages/ dialects, channels, domains and demographics.
