Cognitive Conversational AI innovation services to support companies and institutions
Design services specialized in Cognitive Conversational AI-based enterprise solutions
We design solutions oriented to a predictive, adaptive and evolutionary management of your company’s conversational business.
Contact us for more information about this service.
EXAMPLE OF A PLATFORM FOR INTERNAL ANALYSIS OF EMPLOYEE INTERACTIONS
Corporate governance of individuals and groups
Personal and relational profile
(individual)
Analysis of behavior (individual
and collective)
Early warning of risks and opportunities (individual
and collective)
Situational knowledge (individual
and collective)






EXAMPLE OF AN INTELIGENCE PLATFORM FOR CONTACT CENTERS

Conceptual, functional and technological product improvement services based on the application of Cognitive Conversational AI.
We evolve your products and services by applying conversational AI extensively and consistently.
Contact us for more information about this service.
EXAMPLE

Generation of R&D plans and projects in Cognitive Conversational Artificial Intelligence for companies and institutions
In the coming years, public and private funding for R&D in AI is being, and will be, extraordinary in quantity and breadth
We create grant-generating R&D projects that allow us to comfortably finance our customers’ innovations.
EXAMPLE


2. Automatic detection, extraction and analysis of entities in conversational environments (NERA).
3. Evolution of the linguistic properties of traditional conversational models, based on deep learning with neural networks.
4. Generation of conversational systems based on psycholinguistic and sociolinguistic models.
5. Algorithms for the identification of relevant terms in a document, based on contextual relevance within a conversational model.
6. Semantic description of processes and events: automatic generation of semantic descriptions of what has occurred during the execution of processes and events in a system. Natural Language Processing (NLP), including morphological, syntactic and semantic analysis.
7. Sentiment analysis models, opinion weighting, information verification and intent detection in conversational systems.
8. Algorithms for creating conversational systems from graphical representations.
9. Automatic generation of cognitive service agents in conversational environments.
10. Technological and functional models based on AI of conversational systems in Metaverse environments.
11. Conversational machine-machine business systems (Silent Commerce).
12. Automatic planning of customer service campaigns, based on the detection of situational and intentional awareness in real time, of the business agents.