Innovating Language
By integrating with generative AI models, we enhance service capabilities for organisations of all types and sizes.
We specialise in transforming unstructured text data - from PDFs, documents, or online sources—into machine-readable formats.
Generative and conversational AI
Our NLP specialists design sophisticated conversational interfaces and generative models that engage with your company’s data. We create precise and dynamic systems for dialogue and content generation.
Techniques
Our Generative and Conversational AI systems leverage advanced deep learning models, especially transformers, to create text that feels naturally human. The models are pre-trained on extensive datasets, capturing nuances across countless interactions and contexts, then fine-tuning them to specific conversational needs. This allows our AI to conduct fluid, context-aware dialogue and create content that resonates with users – from automated customer service to interactive entertainment experiences.
Machine Translation and Learning
Using advanced neural networks and deep learning algorithms, our NLP experts develop high-performance machine translation and language modelling solutions. We enable accurate and efficient language processing and analysis.
Techniques
Our experts use machine translation techniques based on transformer neural networks. By using self-attention mechanisms to process input sequences in parallel, the output is quicker and more accurate. Our models have extensive pre-training on large text corpora and this is followed by fine-tuning on specific translation tasks. We leverage transfer learning to improve performance across diverse languages, including low-resource languages. Techniques such as multilingual training, zero-shot, and few-shot learning enable these systems to handle translations between multiple language pairs by generalising linguistic relationships le
Word and Document Classification
We quickly and precisely classify words and documents, developing models that unlock insights, automate categorisation, and drive informed decision-making. We transform text data into actionable business intelligence.
Techniques
We use sophisticated machine learning algorithms – including neural network architectures – to ensure the effectiveness of our word and document classification. Embedding vectors and contextual analysis are used to understand and categorise text based on its intrinsic properties. This enables our systems to perform tasks such as sentiment analysis, topic detection, and automated tagging with high precision. This significantly reduces the manual effort involved in handling large volumes of documents.
Speech Recognition and Generation
We use cutting-edge speech recognition and speech generation technologies to unlock the power of voice. We empower applications to listen, understand, and respond intelligently – helping organisations to revolutionise human-machine interactions.
Techniques
Our speech recognition and language generation capabilities are powered by state-of-the-art acoustic models and natural language processing technologies. We use transformer and convolutional neural networks, to accurately convert speech into text and generate spoken language from text. These models are trained on diverse linguistic datasets to ensure quality across various dialects and accents. Our systems are built to provide smooth, natural, accessible interactions that boost user engagement.
Information Extraction
We extract key information from large structured and unstructured documents, automatically and within seconds. Designed to streamline your data processing needs, these methods can handle a wide range of document types, including text files, PDFs, emails, reports, and more.
Techniques
Our information extraction approach combines traditional NLP techniques with modern deep learning strategies – like sequence tagging and entity recognition models. We extract structured information from unstructured data sources, using transformers and conditional random fields. Our models easily identify key entities, relationships, and facts, transforming raw data into structured formats ready for analysis and decision-making. We’ve optimised this process for speed and accuracy, so you get real-time data processing and instant insights.
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Natural Language Processing
Developing an advanced natural language processing pipeline for the Department of Employment and Workplace Relations
Our client faced challenges in processing enterprise agreements, which varied in format and often spanned up to 200 pages. Employees manually extracted crucial information, such as types of leave and their durations, a process that was time-consuming and prone to errors, often taking days to complete.
Our solution
xAmplify developed an advanced natural language processing (NLP) pipeline to address these challenges. The goal was to create a system capable of accurately and efficiently extracting key data from complex documents of varying formats.
Understanding that enterprise agreements come in different formats—especially PDFs—the first challenge was to properly load and format these documents for processing. xAmplify developed a robust parsing mechanism that could extract text, tables, and images, and establish connections between these elements. This critical preprocessing step was essential to ensure high accuracy in subsequent data extraction.
With the documents properly formatted, the NLP pipeline was designed to extract key pieces of data, such as types of leave and their lengths, with 95% accuracy. The system could process these documents within minutes, a significant improvement over the manual process.
By automating the extraction process, the system significantly streamlined workflows. Employees were freed up to focus on higher-value tasks, such as more complex analysis of the information.
The implementation of xAmplify’s NLP pipeline transformed the client’s document processing approach. What previously took days of manual processing could now be completed in minutes with high precision. This not only enhanced the reliability and effectiveness of information retrieval but also freed up employees to concentrate on more strategic, analytical tasks, ultimately boosting productivity across the board.
Revolutionise Recruiting with AI Talent
Recruiting the right talent can be a time-consuming and complex process. Traditional methods of generating job descriptions, screening resumes, and ranking candidates often involve lengthy manual work. But with AI Talent, a cutting-edge suite of AI-powered tools, the HR process can be revolutionised from start to finish.
AI Talent uses advanced AI to automatically generate job descriptions and rank candidates based on criteria you set. Leveraging powerful text extraction and summarization technologies, it assigns scores to each candidate and explains why each candidate received their score – increasing transparency.
To make the process even more streamlined, AI Talent highlights key information and tags relevant details about each candidate. This creates an intuitive experience for hiring managers, allowing them to quickly review and compare applicants without missing important details.
By implementing AI Talent, organisations have been able to accelerate their recruitment processes, cutting down the time it takes to find the right people by more than half.
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AI Ethics Principles at xAmplify
We’re committed to the responsible design, development, and deployment of artificial intelligence technologies, as outlined in our Ethics Principles Guide.