We are a startup with a focus on how to use Machine Learning in text-based applications. For this, we employ not only IT-experts but also language experts working together in unison to create innovative, text-based software.
Our first product enables you through phonetic and linguistic features of established trademarks from the open EU and US databases to find out if a candidate trademark resembles an existing one. In order to do this, we use Tensorflow, NLTK, and Linear Programming with Python to offer you a fully accessable web service absolutely free!
It is our intention to support additional languages in the near future with French and Danish as our first expansions.
Follow our company here on LinkedIn for more information on our trademark application, staff, and future projects!
You can also visit our webpage on: Webpage currently being updated!
Company Details
- Employees
- 5
- Founded
- -
- Address
- Tagensvej 188, Copenhagen Nv,2100,denmark
- Phone
- 45 41418228
- ni****@****ange.dk
- Industry
- It Services And It Consulting
- NAICS
-
Computer Systems Design and Related ServicesOther Computer Related Services
- Website
- ange.dk
- Keywords
- Business Analytics, Data mining, Data warehouse, Mathematical modelling, language, Tensorflow, Clustering.
- HQ
- Copenhagen NV
Ange Analytics Questions
Ange Analytics's helpline number is 45 41418228
Ange Analytics's website is ange.dk
Ange Analytics's LinkedIn profile is https://dk.linkedin.com/company/ange-analytics
Ange Analytics has
5 employees.
View email and phone details for 5
employees at Ange Analytics.
Ange Analytics's industry is
IT Services and IT Consulting
Ange Analytics's top competitors are
Unai,
Qualifai,
Ds Analytics,
Ange Optimization,
Mensis,
Glomero,
Dtusat,
Munin Data,
Recommit Ab,
Qualifai.
Ange Analytics's support email address is nicolas@ange.dk
Ange Analytics's categories are IT Services and IT Consulting
Ange Analytics's founding year is 2017
