Pulse is a technology company that provides a suite of AI-powered solutions to different industries to help drive growth and operational efficiency. The company was founded in 2016 and is headquartered in New York City. Pulse utilizes advanced natural language processing and deep learning algorithms to extract insights from unstructured data. The company’s products are used by organizations across healthcare, finance, retail and other sectors. Some of the key products offered by Pulse include:
Pulse Insights
Pulse Insights is the company’s flagship product that structures and analyzes unstructured data to generate actionable insights for businesses. It can extract information from various data sources such as emails, documents, chat logs, surveys, call center logs and more. Pulse Insights uses NLP and machine learning to categorize, summarize, extract entities and relationships from text. It can identify trends, patterns and opportunities that can help drive better decision making. The platform provides easy to understand visualizations and reporting.
Pulse Research
Pulse Research enables businesses to rapidly gather insights from both internal and external sources. It allows users to create and field surveys to collect structured feedback. The platform automatically analyzes open-ended survey responses using NLP. Pulse Research also integrates with sources like social media APIs to analyze public unstructured data. It generates sentiment analysis, topic clustering, named entity recognition and relationship mapping.
Pulse for Healthcare
Pulse for Healthcare is a tailored solution for healthcare organizations to gain insights from medical records and reports. It can extract information from clinical notes, radiology reports, pathology reports and more. This can help healthcare providers improve clinical documentation, identify gaps in care, reduce billing errors, improve risk management and more.
Pulse for Finance
Pulse for Finance enables financial institutions to analyze earnings calls, SEC filings, news reports, analyst reports and other sources to identify trends across portfolios, emerging risks, competitor activities and more. This enables better investment decision making and risk monitoring.
Pulse for Retail
Pulse for Retail allows retailers to tap into data from sources like customer reviews, feedback, social media conversations to understand brand sentiment, product perception and more. Retailers can analyze data from across store locations to identify regional trends. Pulse provides an overview of competitors based on external data as well.
Technology Behind Pulse
Some of the key technologies leveraged by Pulse for its products include:
Natural Language Processing
Pulse utilizes advanced NLP algorithms like syntactic parsing, semantic analysis, named entity recognition, co-reference resolution etc. to understand unstructured text data. This enables extracting key entities, relationships and facts.
Machine Learning
Pulse uses supervised, semi-supervised and unsupervised machine learning techniques like classifiers, clustering algorithms etc. to uncover hidden insights from data. Machine learning powers capabilities like sentiment analysis, topic modeling, summarization and more.
Knowledge Graphs
Pulse builds enterprise knowledge graphs specific to industry verticals to better understand relationships between different entities. This amplified intelligence Extracts more value from data.
Big Data & Cloud Infrastructure
Pulse leverages big data architecture built on technologies like Hadoop, Spark and cloud platforms to rapidly process high volumes of data. This enables low latency insights at scale.
Use Cases
Here are some examples of how customers across industries are using Pulse’s AI solutions:
Financial Services
– Analyzing earnings calls, news and social media to get real-time insights into stock performance and sentiment
– Monitoring for emerging risks, compliance issues by extracting information from internal communications
– Competitive benchmarking by analyzing product announcements, reviews, complaints for competitors
Healthcare
– Extracting information from clinical notes to improve billing accuracy and reduce claims denial
– Identifying patients eligible for care management programs from medical record data
– Monitoring social media and forums to get patient feedback on products or services
Retail
– Analyzing customer support calls to identify common complaints and issues
– Monitoring product and brand perception from online reviews and social media
– Analyzing emails and other documents to audit supplier and vendor relationships
Media & Publishing
– Using NLP to automatically tag and summarize large volumes of articles
– Monitoring breaking news and events from global media sources
– Analyzing readership patterns by extracting insights from online content consumption
| Industry | Use Cases |
|---|---|
| Financial Services | – Analyzing earnings calls, news and social media to get real-time insights into stock performance and sentiment – Monitoring for emerging risks, compliance issues by extracting information from internal communications – Competitive benchmarking by analyzing product announcements, reviews, complaints for competitors |
| Healthcare | – Extracting information from clinical notes to improve billing accuracy and reduce claims denial – Identifying patients eligible for care management programs from medical record data – Monitoring social media and forums to get patient feedback on products or services |
| Retail | – Analyzing customer support calls to identify common complaints and issues – Monitoring product and brand perception from online reviews and social media – Analyzing emails and other documents to audit supplier and vendor relationships |
| Media & Publishing | – Using NLP to automatically tag and summarize large volumes of articles – Monitoring breaking news and events from global media sources – Analyzing readership patterns by extracting insights from online content consumption |
Benefits of Pulse
Here are some of the key benefits enterprises can realize by leveraging Pulse’s AI powered solutions:
– Drive data-driven decision making by uncovering insights from unstructured data
– Increase operational efficiency by automating manual processes of data analysis
– Enhance customer experience with insights from customer conversations
– Reduce costs and errors through improved business processes
– Identify new revenue opportunities and market trends faster
– Monitor brand and reputation on digital channels in real-time
– Remain competitive with insights on competitor offerings and strategies
– Ensure regulatory compliance by monitoring internal and external communications
– Uncover hidden patterns and relationships across disparate data
– Consolidate data analysis and business intelligence activities on one enterprise platform
Conclusion
In summary, Pulse is an AI software company providing a robust platform to analyze unstructured enterprise data using natural language processing and machine learning. Its solutions are purpose-built for different industries like healthcare, finance, retail, media etc. Pulse enables businesses to drive data-informed strategy and decision making by extracting real-time insights from data sources like documents, communication, customer feedback, news and social media. The technology can help companies improve efficiency, increase revenue, understand customers better, monitor risks and competitors and more. With its advanced artificial intelligence and scalable big data architecture, Pulse delivers actionable intelligence from both structured and unstructured data.