Gartner - Cool Vendor

Amenity Analytics, a leading text analytics company, announced that it has been named a Cool Vendor in Gartner’s 2018 Cool Vendors in AI for banking and investment services report. The report recognizes vendors which apply “natural-language platforms, machine learning, deep neural networks and text analytics to areas of banking and investment service activities that didn’t apply AI traditionally.”

What’s Cool About Amenity Analytics?

Gartner’s report acknowledges disruptive businesses like Amenity that are transforming the digital economy. Amenity’s platform – creating uniquely AI-derived insights from text – does just that. Amenity has established a new paradigm in text analytics that enables clients to create highly accurate, customized NLP models in mere hours or days versus the months or years required by the competition. This is a proud moment for the company as it continues to democratize world-class NLP and text analytics.

Amenity’s platform uses self-correcting artificial intelligence to create insights from
any kind of text. The system was originally designed by world renowned machine intelligence scientists, and uses highly-accurate natural language processing which requires minimal coding or special information technology support – a significant hidden cost in other AI approaches. Clients are using Amenity’s platform to identify and extract analytics from text sources ranging from regulatory filings and earning call transcripts to news clips, social media and research reports. Amenity’s product has quickly become a top competitor to IBM’s Watson, and has also been enlisted by four Fortune 100 Companies and several major hedge funds.

Our solution generates better results in every aspect of the Value Chain
  • +90% Precision rate (industry benchmark 60%)
  • +100% End user focus & customization capabilities
  • -95% Implementation time

Fully Customizable, Business-Focused NLP APIs at Scale

Our modular platform allows us to build Insight Extraction engines tailored to our customer’s specific business needs at lightspeed. These can connect to virtually any text-based data source, and extract specific insights on topics ranging from alpha generation, to insurance risk, to cryptocurrencies, and more. We are able to get our customers the structured data they need to fully utilize their textual resources in a time to market, measured in hours or days, that is unparalleled by the rest of the industry.


A Modular System, Integrated into Any Workflow

Amenity offers structured datasets via API that integrate into any consumption system. We configure our APIs to flow into systems like Excel, SPSS, SAS, SalesForce, Power BI, and even customized viewers that not only give our customers the data they want, but deliver the data in an easily consumable manner. Ultimately, we drive value for our customers by giving them the right data, at the right time, delivered to the right person.

Disclaimer

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

No items found.
January 15, 2019

Assured Research: Using Natural Language Processing to Create an Insurance Dashboard

We integrated insurance industry earnings call transcript data to visually represent key sentiment.
January 15, 2019

Grocery Sector Earnings Analysis: The Cost of Survival as Amazon Leans Into Delivery

Amazon is going full bore at the Grocery sector and delivery will be the battlefield. For a sector always dealing with margin pressure how will competitors in this space fare? For answers we leverage the power of our text analytics to quickly perform analysis at scale with our Query Insights feature to extract earnings sentiment from the phrase "delivery growth."
January 15, 2019

Apple's Investor Letter Analysis: Answering 4 Key Questions for Apple, Tech and Other China Risk

We apply our text analytics model to analyze Apple's January 2nd investor letter to help address four specific questions that go beyond the headlines that everyone already knows. How bad was it? Does our "Deception" Analysis reveal anything? Where else to look for China fallout? How does Apple's release compare to comments in the smartphone ecosystem? Find out in our article.
January 15, 2019

2018 Q4 Earnings Sentiment: Recapping Our Top Insights

While everyone is providing 2019 outlooks and forward-looking takes we review our top 4 insights from Q4 2018 based on our readership. Using our text analytics modeling we uncovered some interesting insights that would've been extremely difficult for professionals to determine with traditional analysis. What did our readers uncover? Read on to find out.

Stay Informed: Join Our Newsletter

Keep up to date with our analyses and how we're making changes.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
We respect your privacy. We will use your email to keep you informed about Amenity Analytics.