Large Language Model Companies and LLM Providers 2026

Adept, also known as Adept AI, is an enterprise artificial intelligence company founded in 2022 and based in San Francisco, California. The company focuses on enhancing collaboration between humans and computers through its AI tool that automates software processes within existing workflows. Adept develops a proprietary machine learning model called the Action Transformer (ACT-1), which efficiently navigates digital systems to extract, transform, and populate data across forms, websites, and SaaS applications. Adept's core product is an enterprise AI workforce tool that utilizes advanced computer vision and machine learning to manage complex tasks. This tool integrates seamlessly into business processes, allowing employees to automate tasks such as filling forms and responding to emails. By reducing manual, repetitive workflows, Adept enables teams to concentrate on more strategic and creative work. The company serves enterprise clients across various sectors, including developers, HR, and supply chain management, emphasizing reliability and efficiency in process execution.

Anthropic is an American artificial intelligence research and safety company founded in 2021 by former OpenAI members, including Dario and Daniela Amodei. As a Public Benefit Corporation, Anthropic focuses on advancing AI research with an emphasis on safety, transparency, and alignment with human values. The company is headquartered in San Francisco and has a workforce of 501 to 1,000 employees. With over $7.9 billion in funding and a valuation projected to reach $380 billion by 2026, Anthropic is a significant player in the generative AI landscape. The company offers a range of AI services, including the Claude API for integrating large language models into applications, Claude Projects for collaborative AI-driven workflows, and Claude Code for coding assistance. Their flagship products, the Claude family of large language models, are designed for various applications, from complex reasoning tasks to real-time interactions. Anthropic is committed to responsible AI innovation, ensuring that its models adhere to ethical guidelines and safety constraints, making them reliable for both public and enterprise use.

Cerebrium is a serverless AI infrastructure platform that enables teams to build, deploy, and scale high-performance, multimodal AI applications without the need for managing servers or complex infrastructure. Founded in 2021 by Michael Louis and Jonathan Irwin, the company is headquartered in New York City, USA. Cerebrium has raised $9 million in funding, including a significant seed round led by Gradient Ventures. The platform offers serverless GPU infrastructure, providing access to over 12 varieties of GPU chips for machine learning tasks. It features low-latency deployment with cold-start times as low as 2 seconds and can automatically scale from zero to over 10,000 requests per minute. Users can write code in Python, while Cerebrium manages infrastructure, scaling, and model optimization. The platform is designed for AI teams, developers, and engineering groups, focusing on cost efficiency and reduced complexity in cloud computing. Notable customers include Tavus, Deepgram, Twilio, and Writesonic.

Contextual AI is a privately held enterprise software company based in Mountain View, California. Founded in 2023 by former AI researchers from Meta AI and Hugging Face, the company specializes in developing a unified context layer platform for creating specialized AI agents. Their platform utilizes advanced Retrieval-Augmented Generation (RAG 2.0) technology, enabling enterprises to build AI agents that can effectively reason over technical documentation and institutional knowledge. The core product is the context layer platform, which integrates Contextual Language Models (CLMs) trained with proprietary RAG 2.0 methodology. This platform supports modular AI agent development, secure data integration, and automation of knowledge-intensive tasks. It includes features such as built-in evaluation, safety filters, and compliance protocols to ensure the creation of trustworthy AI agents. Contextual AI primarily serves Fortune 500 companies and subject-matter experts in sectors like technology, banking, finance, and media, focusing on enhancing enterprise AI capabilities.

DeepInfra is an AI inference cloud company based in Palo Alto, founded in September 2022. The company provides a scalable infrastructure for running machine learning models through a simple, OpenAI-compatible API. Its mission is to democratize access to AI technologies by eliminating the cost and technical barriers associated with managing hardware. DeepInfra offers a serverless experience, handling GPU scheduling, server management, and model optimization. The platform features a low-latency API that hosts hundreds of open-source models and supports various AI capabilities, including text generation, object detection, and automatic speech recognition. Customers can choose from deployment options such as pay-as-you-go serverless inference, private GPU deployments, and GPU rentals. The company owns its physical GPU infrastructure, ensuring high performance and reliability. With over $125 million in funding, DeepInfra serves a diverse clientele, including startups, developers, and enterprises focused on AI applications. The company is SOC 2 and ISO 27001 certified, highlighting its commitment to enterprise-grade security.

FriendliAI is the Frontier Inference Cloud for Agents, delivering high throughput, low latency, and reliability at scale for agentic workloads. Through vertically optimized inference infrastructure, it achieves 2–5× faster output token speed and 50–90% lower inference cost, backed by a 99.99% uptime SLA built for high-volume agent traffic. The platform powers low-latency streaming for real-time agents, reliable long-context inference, and robust tool calling.

deepset is a Berlin-based enterprise software vendor founded in 2018, specializing in tools for building production-ready artificial intelligence (AI) and natural language processing (NLP) systems. The company aims to make custom AI solutions accessible to organizations by simplifying the development of large language model (LLM) applications. It is led by CEO Milos Rusic, CTO Malte Pietsch, and Chief Research Officer Timo Möller, and has additional offices in New York and San Francisco. deepset offers a dual ecosystem of open-source technology and enterprise-grade platforms. Its flagship product, Haystack, is an open-source Python AI orchestration framework that supports various capabilities, including retrieval-augmented generation, conversational agents, and document search. The Haystack Enterprise Platform provides a commercial solution for managing AI workflows in cloud, on-premise, and air-gapped environments. The company also offers consulting services to help organizations tailor NLP tools for specific needs. deepset serves industries such as finance, healthcare, and defense, with notable clients including the European Commission and Airbus.

Hugging Face is a Paris-based collaboration platform for the machine learning community, focusing on open-source AI models, datasets, and applications. Originally founded as a chatbot company, it has evolved into a leading platform for natural language processing (NLP) technologies. Hugging Face is recognized for hosting the most used open-source machine learning libraries and tools, making it a central hub for sharing and experimenting with AI. The platform offers a variety of services, including the Hugging Face Hub, which features over 2 million models and 1.5 million datasets. Its flagship Transformers Library provides access to pre-trained models for various tasks, while the Inference API allows users to utilize these models through simple API calls. Additionally, Hugging Face supports enterprise subscriptions for enhanced collaboration and security. The company aims to empower machine learning engineers, scientists, and users to build an open and ethical AI future, making advanced AI technology accessible to a broad audience.

Jina AI is a commercial open-source company that specializes in neural search, multimodal AI, and generative AI infrastructure. Founded in 2020 and headquartered in Berlin, Germany, Jina AI has quickly become a global platform, supporting over 10,000 developers across four continents. The company aims to create an open-source neural search ecosystem that allows businesses and developers to efficiently search various data types, including text and images. Jina AI offers a range of cloud-native services through its Search Foundation platform. These include embedding services for converting data into vector representations, reranking services to enhance search result relevance, and a reader service for extracting structured information from unstructured data. The company’s flagship products, such as the JINA-embeddings model family and Jina Reranker, are widely utilized for semantic search and retrieval-augmented generation applications. In October 2025, Jina AI was acquired by Elastic, further enhancing its capabilities in the AI and search infrastructure space.

LG AI Research is the artificial intelligence think tank of LG Group, established in December 2020 and headquartered in Seoul, South Korea. The organization focuses on advancing AI technologies to drive digital transformation across various sectors. With a mission to enhance LG's AI capabilities, it aims to create value through strategic partnerships and develop expert-level AI tailored to specific industries. The research institute specializes in a range of AI systems, including large language models, multimodal AI platforms, and autonomous systems. Its flagship product, the EXAONE family of generative AI models, features advanced capabilities for reasoning and bilingual applications. LG AI Research collaborates with various industries, including fashion, manufacturing, healthcare, and education, to promote AI adoption and innovation. The institute is recognized for its contributions to AI research and has established partnerships with leading organizations and academic institutions globally.

Lepton AI is a managed AI cloud platform that provides on-demand access to GPU resources, including NVIDIA H100 and upcoming Blackwell B200 GPUs, for AI training and inference. The platform aggregates GPU resources from major IaaS providers like AWS and Azure, offering a unified layer for AI development. Founded by experts with experience at Meta, Uber, and Alibaba, Lepton AI simplifies AI infrastructure. Users can start Jupyter notebooks, run distributed training jobs, and launch 24/7 LLM inference services with features like logging and monitoring. The company offers a range of services, including GPU rental, a managed AI cloud platform, and tools for DevOps and GPU management. Lepton AI targets AI developers, large tech enterprises, and organizations looking to integrate their existing cloud accounts into a cohesive management system.

Liquid AI is a privately held company based in Cambridge, Massachusetts, founded in 2023 as a spin-off from MIT's Computer Science and Artificial Intelligence Laboratory. The company focuses on creating efficient general-purpose AI that operates on various devices, from smartphones to satellites. Liquid AI has achieved unicorn status with a valuation of $2.3 billion following a successful Series A funding round. The company’s flagship products include Liquid Foundation Models (LFMs), which are optimized for processing text, images, audio, and video with high speed and low energy consumption. Additionally, Liquid AI offers the LEAP platform for developers to create custom AI models, the Liquid Engine for enhancing creative workflows, and Apollo, a private mobile chat application that demonstrates its on-device AI capabilities. Liquid AI serves enterprise clients across sectors such as consumer electronics, financial services, biotech, telecom, cybersecurity, logistics, and aerospace, emphasizing privacy, real-time performance, and sustainability in AI deployment.

LlamaIndex is an AI platform based in San Francisco, founded in 2023. The company provides a data framework and enterprise cloud services that connect proprietary documents to large language models (LLMs). This enables businesses to create document agents capable of reading, reasoning, and acting on complex unstructured data. LlamaIndex has raised a total of $27.5 million in funding, with a mission to automate document processing and empower enterprises through AI agents. The platform features several integrated modules, including an open-source data orchestration framework, enterprise-grade OCR and document parsing tools, and a managed RAG service for deploying AI agents. LlamaIndex supports various industries such as finance, healthcare, manufacturing, professional services, and technology, focusing on large enterprises that require efficient document processing and data-driven insights. The company is recognized for its secure, production-ready solutions and low-code workflow builder, making it a strong competitor in the enterprise AI space.

Nomic AI is a New York-based AI infrastructure company founded in 2022. The company focuses on building tools that help structure, understand, and collaborate with unstructured data, including text, images, and audio. Nomic AI aims to democratize AI by enhancing its explainability and accessibility, allowing organizations to better understand the data that AI models learn from. Nomic AI offers a data intelligence platform with several core products. Nomic Atlas is a platform for curating and visualizing large datasets, while Nomic Embed provides open-source embedding models for text and multimodal data. The GPT4All is an open-source local large language model runtime designed for consumer-grade devices. Recently, Nomic AI has pivoted to a domain-specific AI platform tailored for architecture, engineering, and construction (AEC) firms, automating workflows and improving data collaboration within these industries.

Novita AI is an AI & Agent Cloud platform built to make advanced AI infrastructure accessible, reliable, and cost-effective for developers and fast-growing teams. We provide high-performance Model APIs, GPU Cloud, and Agent Sandbox environments, enabling teams to build, deploy, and scale AI applications without managing complex infrastructure. From open-source LLMs and multimodal models to production-grade GPU workloads, Novita handles the heavy lifting so developers can focus on building. Our platform is trusted by startups, research teams, and AI-native companies running real production workloads—processing massive token volumes and GPU hours every day across global regions. We emphasize performance, transparency, and flexibility, with straightforward pricing and infrastructure designed for real-world usage. At Novita, we believe AI infrastructure should be open, efficient, and developer-first. Our mission is to lower the barrier to building powerful AI systems—whether you're shipping your first prototype or operating at scale.

Preferred Networks, Inc. (PFN) is a Japanese technology company founded in March 2014 in Tokyo. The company focuses on applying advanced AI technologies to solve complex real-world problems, aiming to make the real world computable. PFN operates a vertically integrated AI value chain, developing AI chips, supercomputing infrastructure, generative AI models, and industry-specific AI solutions. PFN offers a range of core technology layers, including energy-efficient AI semiconductors like the MN-Core™ series, a cloud service for AI computing called PFCP™, and the MN-3 supercomputer, known for its energy efficiency. The company also develops generative AI foundation models, such as PLaMo™, and provides AI products for visual inspection and autonomous mobile robots. PFN serves various industries, including transportation, manufacturing, bio-healthcare, and retail, collaborating with notable partners like Toyota and FANUC. Through its comprehensive AI capabilities, PFN enhances productivity and addresses complex challenges across multiple sectors.

Prime Intellect makes frontier AI training accessible to every company. We operate as both a full-stack platform and an open research lab, enabling organizations to train their own models by directly leveraging our state-of-the-art agentic training infrastructure.

SiliconFlow is an AI infrastructure and Model-as-a-Service (MaaS) platform that offers unified access to a wide range of AI models for inference, fine-tuning, and deployment. The company focuses on providing high-performance and cost-efficient AI model services, aiming to simplify the development of smarter applications for developers and enterprises. Key offerings include unified model APIs for various use cases, inference and serving solutions for large-scale workloads, and cloud-based AI infrastructure services. SiliconFlow also provides hardware-aware deployment support and has developed products like SiliconCloud, a model cloud service platform, and SiliconLLM, a large language model inference engine. The platform supports workflows across language, image, video, and audio, catering to a diverse clientele that includes large internet companies, AI startups, traditional enterprises, and research institutions. Founded in August 2023 by Yuan Jinhui and Pan Yang, SiliconFlow aims to become a leading AI infrastructure provider and accelerate the development of artificial general intelligence (AGI) for the benefit of humanity.

Turing is an AI-powered tech services company and AGI infrastructure provider, founded in 2018 by Stanford alumni Jonathan Siddharth and Vijay Krishnan. Headquartered in Palo Alto, California, Turing combines internal expertise, global talent, and proprietary AI technology to drive innovation. The company is recognized for its Intelligent Talent Cloud and serves as a research accelerator for AI labs, partnering with global enterprises to implement advanced AI systems. Turing is a Series E unicorn with a valuation of $2.2 billion and has raised $247 million from notable investors. Turing offers three main services: training AI models with curated data, deploying AI systems for generative applications, and connecting businesses with top-tier software developers and data scientists. The platform supports advanced capabilities in reasoning, coding, and STEM reasoning. Turing serves over 900 companies worldwide, including AI labs, global enterprises, startups, and tech companies, focusing on mission-critical projects and remote software positions.

Making open-source AI more accessible.

Upstage is a South Korean artificial intelligence company founded in October 2020. It specializes in developing enterprise-grade generative AI solutions, focusing on its Solar large language models (LLMs) and Document AI suite for intelligent document processing. The company aims to enhance organizational processes by creating advanced language models and document processing engines that prioritize efficiency and human-centered design. Headquartered in Yongin, South Korea, Upstage has operational hubs in Seoul, San Francisco, Tokyo, and Hong Kong, employing over 100 professionals, including AI researchers and engineers. The company has raised significant funding, exceeding $118 million, and is recognized as a pre-unicorn with plans for an IPO in 2026. Upstage's products are tailored for document-heavy industries such as finance, insurance, and healthcare, providing solutions that automate data extraction and improve accuracy in processing various documents.

Vellum is an enterprise development platform that specializes in building, evaluating, and deploying AI products powered by large language models (LLMs). Founded in 2023 and based in New York, the company operates as a privately held SaaS provider with a team of 11–50 employees. Vellum has successfully raised approximately $25.13 million across three funding rounds, including a $20 million Series A in 2024. The platform offers a comprehensive suite of tools for prompt engineering, workflow automation, testing, version control, and performance monitoring, all within a single interface. Key features include an AI agent orchestration platform, document processing automation, and customer support automation. Vellum also provides a personal AI assistant for individual users, capable of managing various tasks. The platform is designed to support both technical and non-technical users, making it accessible for diverse teams across industries such as healthcare, real estate, and technology.

Voyage (now part of MongoDB) is a team of leading AI researchers and engineers, dedicated to building embeddings models, customized for domains and companies, for better retrieval accuracy and RAG applications.