We provide a remote team of data scientists with proven technology and methodology on how to deliver a very accurate language understanding models (precision=90-95%, recall=75-85%).
We annotate data by ourselves, train and test custom-made models, and deliver a simple, ready-to-use API that you can use without any linguistic or machine learning skills/knowledge. We can also help you discover the most valuable models in your data.
All you need to do is to send us your text datasets and tell us about areas of possible improvements for your product. Simple&Easy.
A dedicated team of data scientists work on your datasets, train, and test custom-made models. Every month you get customized trained&tested models delivered as an ready-to-use API which can be used without any linguistic/machine learning skills.
If you need a different model of cooperation, contact us.
|Monthly Bill||6 000 EUR / month||10 000 EUR / month||20 000 EUR / month|
|How many time/month of a dedicated data scientist||80h / month
+10h of Unicorn NLP team
|160h / month
+20h of Unicorn NLP team
|2x160h / month
+40h of Unicorn NLP team
|What will you get every month||ready-to-use API (+5 models train&tested on your data/month)||ready-to-use API (+10 models train&tested on your data/month)||ready-to-use API (+20 models train&tested on your data/month)
consultation on how to implement into your product
We already delivered a set of Language Understanding APIs for Travel domain, which are publically available on RapidAPI. These products were designed for travel&hospitality, and before COVID-19, they found great interest from a lot of companies (e.g. Tripadvisor). You might be sure that the technology stack is finished, and we know how to deliver it.
They are state-of-the-art in terms of accuracy (precision=90-95%, recall=75-85%) and the resolution of the output.
RapidAPI has added our APIs to their collections:
If you want to understand more about the technology, read our product site and check the links below:
Article on Medium.com:
How to move beyond Sentiment Analysis and provide human-like understanding with a cost of automation.
Articles from our Blog:
1. Publicly available demo prepared on TripAdvisor Data
2. Demo prepared for the meeting with HostelWorld
3. Demo of how it works on a single reviews
4. Demo how to process non-English reviews