Bitext, an Award-Winning Artificial Intelligence Company for NLP and Multilingual Synthetic Training Data

Bitext’s is industrializing training data production for any voice-controlled device, chatbot or IVR using artificial training data to accelerate customer support automation. At Bitext we solve data scarcity and legal risks with Multilingual Synthetic Training Data to enhance Conversational AI and to derive insights from text-based and unstructured data such as contact center interactions, chat-bot and live chat transcripts, product reviews, open-ended survey responses and email. We can natively analyze text in up to 80 languages.

Bitext: Sample Vendor for Synthetic Data and NLP

Bitext can improve the performance of almost any conversational engine and project”, said Gartner Analyst Anthony Mullen. “End users frustrated with the performance or complexity of their chatbot developments will be interested in how Bitext can improve intent matching confidence and reduce development time”.

Bitext was recently listed in “The Gartner AI Core technologies, 2018” report as a Cool Vendor*. Bitext was also cited in September 2019 as a Sample Vendor in the Gartner “Hype Cycle for Customer Service and Support Technologies, 2019” report in the Natural Language Processing (NLP)” category.

According to Gartner- Market Insight: Chatbot and Virtual Assistant Adoption Will Only Progress by Delivering Value and Trust: “Using natural-language generation (NLG) approaches to ensure that all variations of customer requests are understood by the chatbot. Companies such as Bitext use semantic technologies to generate multiple variants from a seed intent. These intent variations are used to train AI engines, resulting in more user requests being correctly mapped, and reducing the burden of developers”.

According to the Markets and Markets report titled “Natural Language Processing Market,” the NLP market size is estimated to grow from $7.63 Billion in 2016 to $16.07 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 16.1 percent. By next year, 50% of analytical queries will be generated by either search, NLP or voice -- or will be automatically generated by software, Gartner said.

NLP, often considered a subset of augmented analytics, is another major data and analytics trend. NLP is the ability of a computer program to understand informal human language as it is typed or spoken out loud.


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