Funding and Investments: Top NLP Funding to Note in 2021 So Far

Funding and Investments: Top NLP Funding to Note in 2021 So Far
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Take a look into the top NLP funding done in 2021 by top companies.

Artificial intelligence is reforming each industry with different use cases. Demand for AI develops as more organizations move their inheritance frameworks with digital products to endure in the competitive business landscape. Natural language processing, particularly, is making strides and helping in better conversational aspects. In this article, the focus is on the top NLP funding and investments.

Natural language processing is the core innovation behind chatbots. NLP is a subcategory of AI that helps analyze, process, understand and decide the necessary activity dependent on queries. It is the engine that performs errands, for example, task prediction and dialog control. Since the need for chatbots is expanding and the market is expected to be $1+ billion by 2025, organizations that give NLP technology are most in demand.

Enterprises are increasing their investments in natural language processing (NLP), the subfield of linguistics, computer science, and AI concerned with how algorithms analyze large amounts of language data. According to a new survey from John Snow Labs and Gradient Flow, 60% of tech leaders indicated that their NLP budgets grew by at least 10% compared to 2020, while a third 33% said that their spending climbed by more than 30%.

The goal of NLP is to develop models capable of "understanding" the contents of documents to extract information as well as categorize the documents themselves. Over the past decades, NLP has become a key tool in industries like health care and financial services, where it's used to process patents, derive insights from scientific papers, recommend news articles, and more.

Let's explore the top NLP funding and investments in 2021.

Private AI

No of Funding Rounds: 3

Amount Raised: US$3.5M

Private AI develops privacy-preserving machine learning and natural language processing tools making privacy and GDPR compliance reliable.

The Normal Company

Last Funding Type: Pre-Seed

Amount Raised: US$100K

Normal is on a mission to change the way business is done. This platform creates a reliable support system for small businesses of every industry and, through automation technology and innovative Robo-consultant, the company makes personalized business advice accessible and affordable to all.

CorTexter

Last Funding Type: Seed

Amount Raised: Not Mentioned

CorTexter is a digital recruitment assistant powered by AI. With our B2B SaaS solution, we make recruitment easy, as well as just, diverse and inclusive.

aixplain, inc.

Last Funding Type: Seed

Amount Raised: Not mentioned

aixplain, inc. focuses on the deep democratization of AI and ML. The company aims at helping technology vendors and their customers find each other, and to be safe navigating the complexities of the development and the use of AI and ML.

q&ai

Last Funding Type: Seed

Amount Raised: Not Mentioned

q&ai builds trackers at a concept level from knowledge sources you already have and maintain, like Guru or Confluence. It integrates directly into the call recording systems you already have, like Chorus, Gong, and Zoom.

Deep Talk

Last Funding Type: Pre-Seed

Amount Raised: US$130k

Deep Talk understands how messaging from your new product marketing collateral resonates with customers and surfaces customer pains automatically. It analyzes text and conversational data in minutes with its deep learning and NLP models.

Deep Instinct

Amount Raised: US$67M

The company uses deep learning algorithms to provide cybersecurity services. Deep instinct's on-device solution protects against zero-day threats and APT attacks with unparalleled accuracy. By applying deep learning and NLP technology, enterprises can gain unmatched protection against cyber threats.

Physna

Amount Raised: US$56M

Physna is geometric deep learning, NLP, and 3D search company that focuses on comparing and analyzing 3D models. The company powers innovation in manufacturing by bridging the gap between physical objects and digital codes.

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