Enterprise Tech / Development
Best Large Language Model (LLM) Application Development Companies
What is Large Language Model (LLM) Application Development?
The large language model (LLM) application development market offers tools for customizing and refining pre-trained language models for specific tasks and industries. Companies in this market specifically offer services that enable organizations to fine-tune large language models by adjusting the weights of a model or training the model on task-specific data. This allows LLMs to be adapted to particular applications without compromising accuracy.
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Top Large Language Model (LLM) Application Development Companies

H2O.ai specializes in generative AI and machine learning. It provides a comprehensive AI cloud platform for various industries. The company offers a suite of AI cloud products, including automated machine learning, distributed machine learning, and tools for AI-driven data extraction and processing. H2O.ai caters to sectors such as financial services, healthcare, insurance, manufacturing, marketing, retail, and telecommunications. H2O.ai was formerly known as 0xdata. It was founded in 2012 and is based in Mountain View, California.
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Singapore Telecommunications, AI Verify Foundation, Carahsoft Technology, and 1 more
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Nippon Life Insurance, GeoTechnologies, Center for Digital Health Innovation, and 2 more
Key People
Sri Satish Ambati, Raman Kapur, Arno Candel, and 2 more

Hugging Face focuses on advancing artificial intelligence through collaboration in the technology sector. It provides a platform for machine learning professionals to build, share, and collaborate on models, datasets, and applications. The company offers solutions that cater to various modalities, including text, image, video, audio, and 3D, as well as enterprise-grade services for teams requiring advanced AI tooling with enhanced security and support. It was founded in 2016 and is based in Paris, France.

deepset specializes in natural language processing (NLP) and artificial intelligence (AI), providing solutions for enterprise AI teams. The company offers deepset Cloud, an LLM platform that enables the design, deployment, and monitoring of AI applications, and Haystack, an open-source NLP framework for building applications with LLMs. deepset primarily serves sectors such as finance, legal, insurance, and online media. It was founded in 2018 and is based in Berlin, Germany.
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LangChain specializes in the development of large language model (LLM) applications, providing a suite of products that support developers throughout the application lifecycle. It offers a framework for building context-aware, reasoning applications, tools for debugging, testing, and monitoring app performance, and solutions for deploying APIs with ease. It was founded in 2022 and is based in San Francisco, California.

LlamaIndex offers a data framework for connecting custom data sources to large language models (LLMs). Its data framework connects custom data sources to large language models that connect unstructured, structured, and semi-structured data sources, assisting businesses to build end-user applications. The company was founded in 2023 and is based in San Francisco, California.
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Adept is a machine learning research and product lab that focuses on developing general intelligence within the technology sector. The company specializes in creating artificial intelligence models that understand and execute tasks on a computer based on natural language commands. Adept's technology is designed to facilitate collaboration between humans and computers, enhancing productivity and enabling informed decisions. It was founded in 2022 and is based in San Francisco, California.
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Dify.AI operates an application development platform focused on integrating large language models into various applications. It offers tools for orchestrating AI workflows, creating custom AI agents, and offering enterprise-level operations management for AI applications. Dify.AI's solutions cater to developers and businesses looking to leverage AI for productivity. The company was founded in 2023 and is based in Middletown, Delaware.
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Elemental Cognition develops large language models (LLMs) in combination with AI (artificial intelligence) techniques. It learns with people, ensuring that machines can provide solutions to problems and explain why those answers are relevant. Elemental Cognition was founded in 2015 and is based in New York, New York.
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Fixie focuses on the development of conversational artificial intelligence (AI). It involves building AI agents, referred to as sidekicks, that can answer questions, perform actions, and integrate directly with applications. These AI agents are designed to fetch real-time information, interact with external systems, and handle various forms of media, including text, images, and video. The company was founded in 2022 and is based in Seattle, Washington.
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Kern AI specializes in creating generative AI assistants using a data-centric approach within the natural language processing domain. The company offers a platform that enables the development of reliable and secure conversational agents for various industries, with a focus on enhancing customer service and operational efficiency. Kern AI's solutions are tailored to the needs of businesses, providing tools for insurance policy assistance, internal handbook navigation, customer service automation, tariff comparison, and portfolio analytics. It was founded in 2020 and is based in Eichwalde, Germany.
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Lamini develops an enterprise large language models (LLM) platform in the artificial intelligence domain. The company specializes in enabling enterprises to develop, control, and deploy their own LLMs with a focus on performance, safety, and cost-efficiency. Its services cater to software teams within large organizations, providing tools for fine-tuning LLMs on proprietary documents and ensuring optimized, structured outputs. The company was founded in 2022 and is based in Palo Alto, California.
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NuMind specializes in the development of natural language processing (NLP) tools within the machine learning and artificial intelligence sector. The company offers a suite of software solutions that enable users to create high-quality information extraction models for tasks such as text classification, entity recognition, and structured data extraction. NuMind's products are designed to be user-friendly and efficient, catering to a range of professionals including CTOs, CSOs, data experts, and software engineers. It was founded in 2022 and is based in Cambridge, Massachusetts.
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Rasa focuses on providing enterprise-grade for business sectors. The company offers a suite of products that enable personalized and scalable customer interactions through text- and voice-based AI. Rasa's solutions cater to industries such as financial services, healthcare, telecom, and travel and transport. Rasa was formerly known as LastMile Technologies. It was founded in 2016 and is based in San Francisco, California.
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Vellum specializes in the development of large language model (LLM) applications, offering a platform for prompt engineering and workflow automation within the AI technology sector. The company provides tools for semantic search integration, document analysis, intent classification, and summarization, enabling developers to build, deploy, and refine AI-driven applications. Vellum's solutions cater to a diverse range of industries requiring advanced AI capabilities, such as content generation, information extraction, and customer service automation. It was founded in 2023 and is based in New York, New York.
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Our Methodology
The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Large Language Model (LLM) Application Development?
The large language model (LLM) application development market offers tools for customizing and refining pre-trained language models for specific tasks and industries. Companies in this market specifically offer services that enable organizations to fine-tune large language models by adjusting the weights of a model or training the model on task-specific data. This allows LLMs to be adapted to particular applications without compromising accuracy.
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Market Map
Similar Markets
Do you compete within Large Language Model (LLM) Application Development?
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