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NLP Labs
India
D
1-10 Employees
-
Key takeaway
NLP Labs specializes in developing software products that enhance user experience and productivity through Natural Language Processing (NLP), which includes techniques like Semantic Analysis and Text Analytics.
Reference
Core business
NLP Labs
Lingvopedia
New Delhi, India
D
11-50 Employees
-
Key takeaway
Lingvopedia specializes in providing high-quality transcription and subtitling services in over 60 languages, making it a valuable resource for multilingual content creation. Their expertise in language solutions and commitment to quality can be of great interest to those exploring large language models and their applications in transcription and translation.
Reference
Service
Lingvopedia | Services - Lingvopedia
LabelOps
Mannarkkad, India
D
51-100 Employees
2020
Key takeaway
LabelOps is a leading data labeling company that offers data annotation services, including Natural Language Processing (NLP), which is crucial for developing Large Language Models (LLMs) by extracting meaning from human language. Their extensive experience with large datasets and commitment to quality at competitive rates makes them a valuable partner for LLM projects.
Reference
Service
Natural Language Processing (NLP) Services - LabelOps
Natural language processing (NLP) is a form of AI that extracts meaning from human language to make decisions based on the information.
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Lingual Consultancy
Gurugram, India
D
101-250 Employees
2008
Key takeaway
The company, Lingual Consultancy Services (LC), is a prominent translation provider that emphasizes quality and efficiency across a wide range of languages. Their commitment to meeting aggressive timelines and delivering consistent quality has established them as a trusted partner in language services.
Reference
Service
Language Recruitment | Lingual Consultancy
Language Recruitment deals with attracting, screening and selecting qualified linguistic professionals for a job. The world of language resource requirement is changing and LC is one of the leading forces shaping that change. There is a growing demand for both flexibility and skills on the part of the language workforce. With respect to the operations of our language recruitment business, client typically has following requirements:
Association of Data Scientists
Bengaluru, India
D
1-10 Employees
2019
Key takeaway
The Association of Data Scientists offers a hands-on workshop titled "Mastering LangChain," which focuses on building generative AI applications powered by Large Language Models (LLMs). This workshop is part of their broader commitment to advancing skills in machine learning and data science through various online courses and resources.
Reference
Product
Mastering LangChain: A Hands-on Workshop for Building Generative AI Applications
Attend the hands-on workshop on LangChain and learn how to build LLM powered generative AI applications for industries in very simple ways
Deep Learning Summit
India
D
11-50 Employees
2018
Key takeaway
The company emphasizes the significance of Deep Learning in Natural Language Processing (NLP), which is crucial for developing applications that can understand human language. Their Deep Learning Summit provides opportunities for attendees to create AI applications, highlighting the practical applications of LLMs in this field.
Reference
Core business
Deep Learning Summit - Build Real Applications
LangLex
India
D
1-10 Employees
2009
Key takeaway
LangLex Private Ltd., founded by Neha Dixit, PhD in Computational Linguistics, focuses on developing linguistic resources for Indian languages, which may involve technologies relevant to Large Language Models (LLMs) such as translation and information extraction. The company's efforts in creating goal-oriented datasets and engaging with industry partners highlight its commitment to advancing language processing capabilities.
Reference
Core business
Home - LangLex
Language Mark
New Delhi, India
D
11-50 Employees
2016
Key takeaway
Language Mark is a leading professional language service provider in India, dedicated to offering world-class language solutions that empower clients to communicate effectively across languages and cultures. Their extensive experience, having delivered over 1.2 million translations in 196 languages, positions them as a trusted partner for businesses seeking to enhance their global presence.
Reference
Core business
About us | Professional Language service- Language Mark
About us | Language Mark founded in 2010 as language service partner for influential organisations and be a part of their business growth strategy.
FutureSmart AI
Mumbai, India
D
1-10 Employees
2022
Key takeaway
The company, FutureSmart AI, specializes in Natural Language Processing (NLP) and offers custom solutions, including technologies like GPT-3 and ChatGPT, which are integral to the development of Large Language Models (LLMs). Their expertise in NLP and MLOps has enhanced their ability to deliver valuable approaches that improve the final products.
Reference
Service
FutureSmart AI: Custom Natural Language Processing Solutions | NLP | GPT-3 | ChatGPT | Semantic Search.
winkjs
Dadri, India
D
1-10 Employees
-
Key takeaway
Wink, developed by Graype Systems, offers a comprehensive set of open-source packages for Natural Language Processing (NLP), Machine Learning, and Statistical Analysis in Node.js, making it a valuable resource for building production-grade solutions in these areas.
Reference
Core business
winkJS — NLP, Machine Learning & Stats in Node.js
Technologies which have been searched by others and may be interesting for you:
When exploring the Large Language Model (LLM) industry in India, several key considerations come into play. The regulatory landscape is evolving, with the Indian government actively working on frameworks to manage AI technologies. Familiarity with these regulations is crucial for compliance and to understand potential impacts on operations. The industry faces challenges such as data privacy concerns and the need for massive computational resources, which can limit accessibility for smaller players. However, the opportunities are substantial, driven by the growing demand for AI solutions across sectors like healthcare, finance, and education. India's robust IT infrastructure and a large pool of skilled professionals create a competitive advantage, positioning the country as a significant player in the global LLM market. Environmental considerations are also important, as the energy consumption of training large models can raise sustainability concerns. As companies compete for market share, understanding the competitive landscape, including both domestic startups and global giants entering the Indian market, is essential for anyone looking to invest or collaborate in this field. Overall, the LLM industry in India presents a dynamic environment rich with potential, but it requires careful navigation of regulatory, operational, and ethical factors.
Some interesting numbers and facts about your company results for Large Language Model (Llm)
Country with most fitting companies | India |
Amount of fitting manufacturers | 530 |
Amount of suitable service providers | 516 |
Average amount of employees | 11-50 |
Oldest suiting company | 2008 |
Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for Large Language Model (Llm)
What are related technologies to Large Language Model (Llm)?
Based on our calculations related technologies to Large Language Model (Llm) are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Large Language Model (Llm)?
Start-Ups who are working in Large Language Model (Llm) are FutureSmart AI
Which industries are mostly working on Large Language Model (Llm)?
The most represented industries which are working in Large Language Model (Llm) are IT, Software and Services, Education, Other, Marketing Services, Consulting
How does ensun find these Large Language Model (Llm) Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.