NLMatics

NLMatics is a Natural Language Processing (NLP) platform that deploys multiple strategies to improve relevancy. It is focused on extracting insights from unstructured text data with minimum or no supervision. From informal notes to complex legal documents, from news headlines to extensive reports - NLMatics is designed to be flexible so that enterprises have a single solution for text analytics. NLMatics platform helps find potential risks, marketing opportunities, organizational bottlenecks, legal/compliance issues, and is easy to customize for specific requirements. It was founded in 2019 and is headquartered in New York, New York.

NLMatics developed a question answering, semantic search, and data extraction pipeline that utilizes layout-aware chunking, vector and BM25 indexing, and language models. This technology, which bears similarities to RAG (Retrieval-Augmented Generation), was created between 2020 and 2023. The company's open-source codebase is available on GitHub, with packages released under Apache 2.0 and MIT licenses. NLMatics' technology found early adoption in sectors such as financial services, legal services, and life sciences, indicating its versatility and practical applications across various industries.

Nlmatics: Open Source

Using AI to mimic and understand human language

Natural Language Processing Tools

NLMatics developed a question answering, semantic search, and data extraction pipeline that utilizes layout-aware chunking, vector and BM25 indexing, and language models. This technology, which bears similarities to RAG (Retrieval-Augmented Generation), was created between 2020 and 2023. The company's open-source codebase is available on GitHub, with packages released under Apache 2.0 and MIT licenses. NLMatics' technology found early adoption in sectors such as financial services, legal services, and life sciences, indicating its versatility and practical applications across various industries.

Reduct is a cloud-based video editing and storage platform that enables users to transcribe, organize, and edit video content through text-based interfaces. The platform uses automated transcription technology to convert video and audio files into searchable text transcripts. Users can then highlight, tag, and edit these transcripts to create video clips and reels. Reduct's key differentiator is its ability to edit video by manipulating the corresponding transcript text, allowing for efficient review and compilation of interview footage and other video content. The platform supports various file formats and integrates with video conferencing tools like Zoom for direct import of recordings. Reduct also offers collaborative features, allowing multiple team members to work on projects simultaneously. In addition to its core editing capabilities, Reduct provides unlimited cloud storage for video files, making it a comprehensive solution for video post-production workflows.
Key customers and partnerships
Reduct caters to a range of industries and professionals, including researchers, content creators, marketers, and corporate teams. The platform has developed integrations with popular video editing software like Adobe Premiere Pro, enabling users to export their Reduct projects as editable sequences in these applications. Reduct also supports Final Cut Pro through XML export.

Reduct

MonkeyLearn is an AI-powered text analysis and data visualization platform that enables businesses to extract insights from unstructured textual data. The platform offers both pre-built and custom machine learning models for tasks such as sentiment analysis, keyword extraction, topic detection, and intent classification. MonkeyLearn's no-code interface allows users to clean, label, and visualize customer feedback data without requiring programming skills. The platform can process various types of text data including customer reviews, surveys, social media posts, and support tickets. MonkeyLearn integrates with popular tools like Excel, Google Sheets, Zapier, and Zendesk, allowing users to connect their existing data sources. In 2023, MonkeyLearn launched an all-in-one text analysis and data visualization studio that provides instant insights with greater granularity. The platform offers customizable dashboards and templates for different business scenarios, enabling users to create visualizations tailored to their specific needs.

MonkeyLearn

Keatext is an AI-powered text analytics platform that specializes in interpreting customer feedback. The company's cloud-based solution synthesizes large volumes of unstructured feedback data from multiple channels, including open-survey questions, online reviews, support tickets, chats, and social media posts. Keatext's platform utilizes deep learning and natural language processing to analyze, cluster, correlate, and track customer opinions autonomously, providing actionable insights through a comprehensive dashboard.
The platform is designed to minimize response time and requires no setup, featuring multilingual analysis and context-sensitive, industry-agnostic understanding. It automatically visualizes correlations and trends, offering immediate report-sharing capabilities. Keatext's technology adapts to various industries without requiring algorithm customization, eliminating the need for keywords, lexicons, and semantic dictionaries.
Founded in 2010 by Narjès Boufaden, Keatext initially operated as a professional services provider. In 2015, the company transitioned to a product-based model with the launch of its cloud-based AI-powered text analytics platform. Keatext's solution helps businesses optimize profitability through customer feedback analysis, enabling them to move from assumption-based decision-making to data-driven, research-based strategies. The platform significantly reduces the time required for analyzing customer feedback, with users reporting that tasks that previously took eight hours can now be completed in 10 minutes using Keatext.

Keatext

Aircover is a sale assistant tool that leverages conversational AI and real-time technologies to enhance the efficiency of sales teams. The platform integrates with virtual meetings, providing sales representatives with up-to-date messaging and positioning information. This approach aims to reduce ramp time for new representatives and products, shorten sales cycles, and increase win rates. Aircover's AI-powered system enforces best practices throughout sales meetings, offering real-time answers to representatives and potentially reducing the number of follow-up meetings required per prospect. The tool is designed to serve a wide range of users, from individuals to large enterprises. Aircover also features a relationship management component, allowing users to store notes and track roles within deals. By putting sales enablement on autopilot, the platform seeks to streamline the sales process and improve overall performance.

Aircover

NeuralSpace is an AI SaaS company that specializes in providing advanced text and voice AI technologies in over 100 languages. Founded in 2019, the company focuses on delivering language AI solutions, particularly for Arabic, Indian, and other low-resource languages predominantly spoken in Asia, the Middle East, and Africa. NeuralSpace's platform offers a suite of products including speech-to-text, machine translation, entity recognition, transliteration, data generation, language detection, and text-to-speech conversion. The company's flagship product, VoiceAI, launched in October 2023, provides highly accurate call transcription, translation, and speech analytics for Arabic and Indian languages and dialects, achieving an average accuracy rate of 91%. NeuralSpace utilizes proprietary speech-to-text technology trained on a dataset of 40,000 hours of audio data, which it aims to increase to 100,000 hours. The company's no-code modular toolkit enables enterprises to train and deploy AI models for language processing applications without extensive coding knowledge. NeuralSpace's technology leverages modeling techniques such as transfer learning, multilingual learning, and data augmentation to work effectively with limited text or speech data. The platform can be accessed through a command-line interface, REST APIs, or a no-code GUI, making it versatile for various integration needs.

NeuralSpace

Solutions that use techniques such as named entity recognition, part-of-speech tagging, or summarization to produce insights from unstructured textual documents.

Platforms that summarize conversations, audio, or video files including reactions into text formats.

Tools to identify and analyze the opinions or emotions expressed in survey responses or reviews to produce actionable insights.

Platforms that decipher search queries by analyzing structured and unstructured data based on user intent and behavior.

Solutions that enable real-time conversation through chatbots or automate ticket routing to relevant agents.

Tools that automatically translate text from one language to another.

Tools that detect plagiarism, punctuation errors, or style errors in text.

Companies that use GenAI as a core part of their product offering for natural language processing.

NLP tools such as chatbots are used to cater to each individual

NLP tools are built using AI/ML technologies

Some NLP tools are built using foundation models

NLP tools are provided for other companies to integrate into their workflows

NLMatics

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