Stratifyd, Inc.
| Private | |
| ISIN | 🆔 |
| Industry | Technology,Big Data, Data Visualization, Unstructured Data, Machine Learning, Artificial Intelligence |
| Founded 📆 | 2012 |
| Founders 👔 | Derek Wang, Li Yu, Toma Kraft |
| Headquarters 🏙️ | 619 S. Cedar Street, Suite J, , U.S. |
Area served 🗺️ | Worldwide |
| Products 📟 | Stratifyd SaaS Platform |
| Services | Business Intelligence, Data Mining |
| Members | |
Number of employees | |
| 🌐 Website | www |
| 📇 Address | |
| 📞 telephone | |
Stratifyd, Inc. is a business intelligence company based in Charlotte, NC, specializing in unstructured data analytics. Stratifyd's cloud-based service, Signals, includes taxonomical, analytical and visualization services for structured and unstructured data.[2] In 2015, Forbes Magazine listed Stratifyd as one of the "3 Companies that Turn Big Data into What You Need to Know".[3]
History[edit]
Inception[edit]
Stratifyd was first a project developed by Dr. Derek Wang, then-Professor of Computer Science at the University of North Carolina, Charlotte. Wang modeled his proprietary platform after the data visualization centers commissioned by the U.S. Department of Homeland Security.[4] After securing $2.85 million in two rounds of funding, he incorporated Stratifyd in 2012.[citation needed]
Expansion[edit]
In 2015, Stratifyd released its first business intelligence service. The SaaS (Software-as-a-service) platform was one of the first of its kind to process unstructured data through an augmented intelligence system.[2]
Lenovo began using Stratifyd's text analysis engines with its sales and marketing teams in June 2015.[5]
In June 2016, Stratifyd released the second version of its platform with major updates to its service.[6] For its approach to text analytics, Stratifyd was also recognized as an IDC Innovator during the same month.[7] Stratifyd achieved 300% growth in 2016 alone [1].
Stratifyd raised $7,000,000 in a Series A funding round in 2017 [2]. On January 23, 2017, Stratifyd was named one of the top ten hot artificial intelligence technologies by Forbes [3]. In the summer of 2017, Stratifyd began development of a voice to text transcription engine for use alongside call center data.
The company released Stratifyd 3.0 [4], the second major update of its service, in October 2017. The update introduced streaming, enterprise data connectors, data fusion, and alerts to the platform.
Role within the Unstructured Data Analytics Industry[edit]
CEO Derek Wang and Stratifyd quickly emerged as one of the unstructured data analytics industry's biggest players and advocates.[8][3][7][not in citation given] In February 2016, Wang published an article in Datanami, a Big Data blog, examining the increasing role of unstructured data in consumer-driven business intelligence. Wang was a featured speaker at the Analytics Frontiers Conference, a Charlotte-based gathering for data analytics enterprises.[9]
Stratifyd has expanded into the Chinese market. Part of its investment came from Chinese venture capital firms like Tencent and China Growth Capital.[citation needed] Stratifyd has partnered with JuHe (Suzhou ThinkLand Technology Co., Ltd.), a prominent Chinese data collection company, to aid its data analytics operations.[10]
SaaS Platform[edit]
Stratifyd's product is a cloud-based business intelligence service that combines machine learning, NLP algorithms, and data visualization into one integrated platform.[3] Consumers stream data into a processor, which then produces a dashboard that generates a dynamic interface visualizing structured and unstructured data in charts, taxonomies, topic wheels, buzzword clouds, temporal trends, and geospatial analysis.[2] The software can process unstructured data from product reviews, social media, emails, chats, blogs, news articles, phone calls, geolocations, and text-based software like Microsoft Word and Evernote, allowing users to visualize both unstructured and structured data.[2] Signals visualizes structured data similar to Tableau and allows for over 24 unique visuals. Data is streamed into the platform through public, third party, and enterprise data connectors. Enterprise data connectors connect a company's enterprise data warehouse to the platform for analysis. Third party and public data connectors support a number of APIs including Amazon, Twitter, YouTube, Facebook, Salesforce, Apple App Store, Google Play, Slack, RSS, Indeed, Consumer Affairs, Bazaar Voice, Waitrose, Delighted, Etsy, Qualtrics, Consumer Financial Protection Bureau, Walmart, Uservoice, Survey Monkey, and Intercom. Stratifyd is constantly expanding its list of connectors as requested by clients and adding new platform integrations as they become available. Users can also import data in CSV, Excel, or JSON formats using the user interface and API hooks.
Related Companies[edit]
Several other companies have ventured into the field of unstructured data analytics:
- SAP
- SAS (software)
- IBM Watson
- Oracle
- MemSQL
- Medallia
- Clarabridge
- Crimson Hexagon
- Lexalytics
- Provalis Research
References[edit]
- ↑ "Stratifyd Home Page". Stratifyd. Retrieved June 22, 2016.
- ↑ 2.0 2.1 2.2 2.3 Noyes, Katherine. "This analytics startup just emerged from stealth to help SMBs get a grip on unstructured data". PC World. Retrieved June 22, 2016.
- ↑ 3.0 3.1 3.2 Pozin, Ilya. "3 Companies that Turn Big Data into What You Need to Know". Forbes. Retrieved June 22, 2016.
- ↑ "An Entrepreneur Makes Data Visual" (PDF). charlottechamber.com. Retrieved June 23, 2016.
- ↑ Burns, Ed. "Text Analysis Tool helps Lenovo Zero In on the Customer". SearchBusinessAnalytics. Retrieved June 23, 2016.
- ↑ "Stratifyd". Stratifyd. Retrieved June 23, 2015.
- ↑ 7.0 7.1 "IDC Innovators for the 2016 Machine Learning-Based Text Analytics Market". BusinessWire. IDC. Retrieved June 24, 2016.
- ↑ "Top 57 Software for Text Analysis, Text Mining, Text Analytics". predictiveanalyticstoday. Retrieved June 24, 2016.
- ↑ "The Analytics Frontiers Conference". UNCC. Retrieved June 23, 2016.
- ↑ "Juhe Partners". Juhe. Retrieved June 23, 2016.
This article "Stratifyd" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Stratifyd. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
