9 Trending Natural Language Processor Businesses [2024]
Welcome to the frontier of AI technology, the development of Natural Language Processors. This exciting business idea taps into the expanding landscape of artificial intelligence.
In simple terms, a Natural Language Processor allows machines to understand and respond to human language, providing a seamless and interactive user experience. They’re the engine behind your vocal requests to Siri, Alexa, or Google Assistant.
Imagine being part of a crucial force powering the evolving relationship between humans and digital machines. The sector is burgeoning, with immense growth potential. Companies are tirelessly searching for ways to improve their AI, offering you a lucrative stage to showcase your creative and technical prowess.
While it does require a strong understanding of AI and its complex components, the rewards are gratifying. If you posess an innovative mind ready to shape the intricate dance between man and machine, consider diving into the world of Natural Language Processors.
Looking for some examples of a natural language processor?
Interested in case studies of a successful natural language processor? Check out our full list of success stories.
1. UPC Universitat Politècnica de Catalunya
La UPC és la universitat pública de la recerca i l'educació superior en els àmbits de l'arquitectura, l'enginyeria, les ciència i la tecnologia. La Universitat per a la gent que contribueix a imaginar el futur i a moure el món
Website traffic: 4.84M/month
2. Natural Language Toolkit — NLTK 3.6.2 documentation
Website traffic: 280K/month
Learn more about starting a natural language processor:
Where to start?
-> How much does it cost to start a natural language processor?
-> Pros and cons of a natural language processor
Need inspiration?
-> Other natural language processor success stories
Other resources
4. Cortical.io
Cortical.io delivers AI-based solutions that relieve your employees of the burden of reviewing large amounts of documents or sifting through masses of text messages.
5. Priberam
6. BizNLP
7. SyTrue
Unleashing Medical Records For Health Plans and Providers. Find out how SyTrue’s NLP OS™ is addressing healthcare’s unstructured data problems
8. Tinq.ai
Tinq is an AI toolkit that allows NER, sentiment analysis, text classification, summarization, question answering, text generation, language detection.
How much they make: $43.2K/year
Current team size: 0
Tinq.ai founder Boulama created a ready-to-use NLP toolkit with products including rewriter, sentiment analysis, entity recognition, and classifier, which recently passed the $3.5k revenue mark with 34 paying customers as of January 27, 2022, without spending a dollar on advertising, instead focusing on regular customer engagement.
- 4,818 founder case studies
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- Live events, courses and recordings
- 8,628 business ideas
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- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
- 4,818 founder case studies
- Access to our founder directory
- Live events, courses and recordings
- 8,628 business ideas
- $1M in software savings
