SentiSquareCX
Financiado
Qualitative Jump in Customer Experience Omnichannel Impact of Distributional Se...
Understanding customer voice is fundamental in building products, services and customer facing processes. Although companies have abundance of data, they still lack insight. According to Gartner, fewer than 10% of companies have a...
Understanding customer voice is fundamental in building products, services and customer facing processes. Although companies have abundance of data, they still lack insight. According to Gartner, fewer than 10% of companies have a 360° customer view, and only 5% are able to use it to systemically grow their businesses. The reason is that listening to customers has been difficult and technologies available either arduous to use, non-scalable or providing skewed interpretation of the data collected. To meet the needs of data intensive industries and deliver cost-effective NLP, we offer our AI-based, self-learning solution for any text. It is language agnostic, applicable thus to any language without limitations and even in multi-language datasets. Compared to alternatives, where search content is predefined (pre-tagged), our disruptive technology genuinely reflects the actual meaning of text, not being limited by lexicons or biased by content predefinition. The unique qualitative advantage of our engine stems from our research in Distributional Semantics. This approach enables the vectorial representation of word meaning. Every word is associated with a vector which reflects the contextual (distributional) information across a text dataset. Vectorial representation allows us to quantify the similarity between meanings. On this basis, our algorithms are employed to automatically discover hidden patterns. We realize that most data in organizations is about customer engagement. For this reason, we want to offer the portfolio of products covering the entire multichannel 360° view: providing AI-powered analytics from insights, through inbound communication assistance, to contact center process automation to semantic segmentation. Private and public organizations, with large volumes of daily communication or large base of customers are our main target segments, representing substantial business opportunity across industries and geographies.
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Duración del proyecto: 6 meses
Fecha Inicio: 2019-05-15
Fecha Fin: 2019-11-30
Fecha Fin: 2019-11-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2019-11-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
EIC-SMEInst-2018-2020:
SME instrument
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
71K€
Líder del proyecto
SENTISQUARE SRO
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
475.52K€ |
Participante