multilingual synthetic training data
Intent Detection
for customer support automation
INTENT DETECTION
FOR CUSTOMER SUPPORT AUTOMATION
Industrialize training data production for any voice-controlled device, chatbot or IVR using artificial training data.
- Recognize a user´s intent in any platform
- Improve up to 90% accuracy
- Identify the sentiment of client reviews
Multilingual Training datasets for intent detection
We help you understand your customers either if you do not have any existing training data or need to increase your accuracy or expand to other languages with consistency.
Our industry-agnostic NLP engine has around 90% of intention recognition accuracy. It understands free speech, not just predefined phrases.
OUR SOLUTION:
Multilingual synthetic
training data
Machine Learning is one of the most common use cases for Synthetic Data today mainly in images or videos. We offer text training data in any language you need. Quickly scale or increase the amount of data in a fast and flexible way.
If you need to build from scratch
if you have existing training data
Generation of Multilingual Training Data:
We offer different options according to your needs. From our pre-built vertical templates (bootstrapping) covering the most common intents for each vertical, to custom datasets for customer specific requests.
- We can add advanced module datasets covering regional variants, politeness, expanded abbreviations, offensive or small talk…
if you have existing training data
Augmented Synthetic Training Data
If you want to increase the accuracy or expand the scope with more intents or utterances.
- We can automate the process and generate the training data you need in any language.
- Our Quality Assurance and Improvement service allows to retrain the model regularly.
verticals available
Retail- Ecommerce
Manufacturing
Travel
Banking
Utilities
Media Streaming
Telecom
Insurance
Field Service
Mortgages & Loans
Wealth Management
Legal Services
Hospitality
Healthcare
Restaurants & Bars
Events & Ticketing
Moving & Storage
Automotive
Education
Real Estate
RETAIL CASE STUDY
Deploying a bot which is able to engage in sucessful converstions with customers worldwide for one of the largest fashion retailers.
A Benchmark based on Dialogflow shows increased standard accuracy +40%.
See how automatic training improves manual training.
Get the full dataset used to generate the benchmark results. Check out how easy is to integrate the training data into Dialogflow and get +40% increased accuracy.
OUR CUSTOMERS
Working with 3 of the Top 5 largest companies in NASDAQ and some leading companies such as…
Working with 3 of the Top 5 largest companies in NASDAQ and some leading companies such as…
Got Questions?
SAN FRANCISCO, USA
541 Jefferson Ave., Ste. 100
Redwood City
CA 94063
MADRID, SPAIN
José Echegaray 8, Building 3, Office 4
Parque Empresarial Las Rozas
28232 Las Rozas
SAN FRANCISCO, USA
541 Jefferson Ave., Ste. 100
Redwood City
CA 94063
MADRID, SPAIN
José Echegaray 8, Building 3, Office 4
Parque Empresarial Las Rozas
28232 Las Rozas