<h3>Insightful analytics</h3>		
			<h3>powered by AI</h3>		
		<p>Derive insights from unstructured data</p>		
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			<h2>About</h2>		
										<img width="298" height="300" src="http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-298x300.png" alt="NSF" srcset="http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-298x300.png 298w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-150x150.png 150w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-768x772.png 768w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-1019x1024.png 1019w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-1200x1206.png 1200w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-400x402.png 400w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo-100x100.png 100w, http://wisran.com/wp-content/uploads/2019/10/NSF_4-Color_bitmap_Logo.png 1722w" sizes="(max-width: 298px) 85vw, 298px" />											
			<h2><a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=1914378&amp;HistoricalAwards=false" target="_blank" rel="noopener noreferrer">Funded by National Science Foundation (NSF)</a></h2>		
		<p>America’s Seed Fund powered by NSF awards $200 million annually to startups and small businesses, transforming scientific discovery into products and services with commercial and societal impact.<br /><br />America’s Seed Fund is congressionally mandated through the Small Business Innovation Research (SBIR) program. The NSF is an independent federal agency with a budget of about $8.1 billion that supports fundamental research and education across all fields of science and engineering.</p><p>WISRAN uses Natural Language, Artificial Intelligence  and Machine Learning to reveal the structure and meaning of text and video. You can extract information about people, places, and events, and better understand sentiment and customer conversations. </p>		
			<h2>Services</h2>		
		https://youtu.be/8LUEJqoKKbw		
			<p>Ridership Count</p>		
		<p>Developing  powerful pre-trained algorithm to count transport ridership.</p>		
			<p>Vehicle Count and Speed Detection</p>		
		<p>Developing algorithm to count vehicle and detect speed.</p>		
			<p>Traffic Flow Pattern</p>		
		<p>Developing AI and ML algorithms to automatically analyze to identify traffic patterns </p>		
			<h2>Benefits</h2>		
			<h2>Insights from customers</h2>		
		<p>Provides entity analysis to find and label fields within a document — including video, emails, chat, and sensor data — and then sentiment analysis to understand customer opinions to find actionable product and UX insights.</p>		
			<h2>Extract key entities that matter</h2>		
		<p>Provides custom entity extraction to identify domain-specific entities within video and documents - such as pedestrians and vehicle traffic flow and pattern - without having to spend time or money on manual analysis.</p>		
			<h2>Multimedia and multilingual support</h2>		
		<p>Combines Natural Language with Speech-to-Text to extract insights from audio conversations. Uses it with optical character recognition (OCR) to understand scanned documents. Extract entities and understand sentiments in multiple languages.</p>		
			<h2>Smart Cities</h2>		
		<p>Provides visibility into ridership information and trends. Simplify vehicle and pedestrian traffic flows/pattern. Easily collect and analyze infrastructure and transport data.</p>		
			<h2>Features</h2>		
										<img width="840" height="222" src="http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek-1024x271.png" alt="" srcset="http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek-1024x271.png 1024w, http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek-300x79.png 300w, http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek-768x203.png 768w, http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek-1200x318.png 1200w, http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek-400x106.png 400w, http://wisran.com/wp-content/uploads/2019/11/text-analysis_dek.png 1421w" sizes="(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 1362px) 62vw, 840px" />											
			<h2>Syntax analysis</h2>		
		<p>Extract tokens and sentences, identify parts of speech, and create dependency parse trees for each sentence.</p>		
			<h2>Entity analysis</h2>		
		<p>Identify entities within documents — including receipts, invoices, and contracts — and label them by types such as date, person, contact information, organization, location, events, products, and media.</p>		
			<h2>Custom entity extraction</h2>		
		<p>Identify entities within documents and label them based on your own domain-specific keywords or phrases.</p>		
			<h2>Sentiment analysis</h2>		
		<p>Understand the overall opinion, feeling, or attitude sentiment expressed in a block of text.</p>		
			<h2>Custom content classification</h2>		
		<p>In addition to 700+ predefined categories, create labels to customize models for unique use cases, using your own training data.</p>		
			<h2>team</h2>		
			<h2>Arsalan Lodhi</h2>		
			<h2>Justin Durdan</h2>		
			<h2>Arsala Khan</h2>		
			<h2>Qummer Laiq</h2>		
			<h2>usman syed</h2>		
			<h2>YES!</h2>		
			<h2>I'm in</h2>		
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			<h2><a href="http://www.wisran.com/ai">Home</a></h2>		
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			<h2><a href="#features">Features</a></h2>		
			<h2><a href="#team">Team</a></h2>		
			<h2>Press release</h2>		
			<h2>2019 - WISRAN Corporation. All rights reserved.</h2>