AppTek.ai’s NLU technology seamlessly identifies valuable context and “meaning” from documents, recordings or conversations, and relates named entities, intent, modalities and objects together building a knowledge graph which evolves over time in order to extract valuable and actionable information for deeper contextual analysis.
AppTek.ai’s cutting-edge Natural Language Understanding (NLU) technology provides the tools to understand and comprehend what users are expressing and convert that meaning into a deeper computer processable subtext. AppTek.ai’s NLU technology empowers organizations across a wide field of business applications who want to dive further into the meaning of spoken, written or translated sentences across a broad range of languages. With AppTek.ai’s NLU technology, developers can identify named entities and objects along with an intent and its modality to deliver the appropriate response to a request or derive subsequent action based on a specific question. Additionally, AppTek.ai’s NLU technology can be utilized for sentiment analysis (social media or customer conversations), for automated reasoning and context management (chatbots and virtual agents), for text classification, voice-activation and content analysis with the overall goal to provide deeper insights inside virtually any cluster of text.
Generate Deeper Insights
Identify and label unstructured customer conversations and feedback from a variety of channels including social media, call centers, emails and more; Analyze sentiment, trending expressions stories and more for actionable insights.
Analyze User Intent
Relate user intent (verb), user modality (e.g. conditional, affirmation) with objects (e.g. numeric counts, currency, named entities, dates ) and more to create user-centric applications or analyze customer inquiries and sentiment through large selections of text.
Develop Knowledge Graphs
AppTek.ai’s NLU generates and updates knowledge graphs from discovered entities to build a knowledge context specific to your needs and assist in the categorization and classification of documents, across a broad range of domains.
Every application begins with understanding the end goals of the customers. Whether your need is to understand customer sentiment from telephone conversations, create a chatbot that helps customers order pizza, deliver the weather spoken from your car, or one of many other countless applications, AppTek will work with you to understand the needs and generate the appropriate response or algorithm that delivers to your specific needs.
Based on your application, our team will build a customized NLU model utilizing pre-built classifiers and entity dictionaries as the base, and then incorporate customized language solutions based on your application needs. Our machine models will continually improve the quality of models to deliver results.
Our account management and engineering team will work with you to deploy your application and ensure everything is working smoothly and machine learning models are meeting quality expectations. We will continually train and improve technologies by both consistently ensuring the subtleties of your domain and content are delivered efficiently through our machine learning technologies while also applying our latest advancements in the science of language understanding technology to your application.
Identifies entities within written or spoken text, including proper names, brands, cities, currency amounts, etc. and label them for recall.
Extracts the overall opinion, attitude or feeling over a specific topic or product for deeper analysis of brand performance.
Classifies content into pre-existing categories by function, intention or purpose.
Generates knowledge graphs to explore and map relationships between your entities.
Identifies main topics of discourse to discover new topics pertinent to your organization or identify customer trends.
Builds fully functional virtual assistants or chatbots to enable customer communication.
AppTek consists of world-leading research scientists with an extensive list of academic publications contributing to the advancements of neural network and machine learning technologies. Our team is at the cutting-edge of speech science with deep industry expertise with development of NLU neural network models including:
Customer Engagement
Aggregate customer interactions and deploy sentiment algorithms to gauge customer sentiment, brand feedback, critical shifts in brand perception and more.
Emerging Technologies
Whether deploying the latest technology inside an IoT device, robot, mobile application or the next big thing, AppTek can help you integrate natural language understanding inside your application.
Eliminate Compliance Risks
Identify entities and relationships across conversations; develop deeper understanding of both text and context with AppTek.ai's NLU technology.
Retail/E-Commerce
Employ custom NLU-driven conversational interfaces via voice-enabled applications such as IVR sysems or customized and personalized chatbots.
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.