Lymba Description
Insurance is driven by the need to obtain the best rate and manage risk. To be competitive in this industry, it is important to reduce manual intervention. It takes large staffs to search, organize, analyze, and distribute information for support and underwriting purposes. Many of the data is text-centric, unstructured and require manual review. Scaling can be described as hiring more people or outsourcing. All complaints must be filtered and recorded according to their severity and topic. These complaints can be collected by automotive companies in many ways, including email, comments, forms, and other methods. Lymba's Underwriting and Support NLP Solution reduces text-centric bottlenecks by turning the data into actionable information. This saves time and money by populating an initial review.
Lymba Alternatives
Google Cloud Natural Language API
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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Amazon Comprehend Medical
Amazon Comprehend is a HIPAA-eligible, natural language processing (NLP), service that uses machine-learning to extract health data form medical text. No machine learning experience is necessary. Today, a lot of health data is found in free-form medical texts like doctor's notes, clinical trials reports, and patient records. Manually extracting data can be time-consuming and automated rule-based attempts at extracting data won't capture the whole story because they don't take context into consideration. The data is not usable for large-scale analytics that will help improve the healthcare and life sciences industry, patient outcomes, and increase efficiencies.
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Cortical.io
Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text.
The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.
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Speechmatics
Speechmatics is the most accurate and inclusive speech-to-text API ever released.
Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech.
Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more.
How is Speechmatics different?
* The most accurate speech recognition on the market
* 55 languages with vast accent and dialect coverage
* Cloud-based or on-premises deployment options for data security
* Real-time transcription with low latency and high accuracy
* Real-time translation with 69 language pairs
* Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events
* Fast and secure transcriptions for pre-recorded audio
* Automatic translation and language identification
* A culture of R&D in deep learning and speech recognition
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Integrations
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Company Details
Company:
Lymba
Year Founded:
2005
Headquarters:
United States
Website:
www.lymba.com
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Product Details
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SaaS
Type of Training
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