Enterprise Tech / Data Management • Development
Best Model Deployment & Serving Companies
What is Model Deployment & Serving?
The model deployment & serving market revolves around the process of taking trained machine learning models and making them accessible for real-time predictions and use in applications. This market provides solutions for deploying models at scale, ensuring efficient, low-latency predictions. It enables organizations to operationalize their AI investments, delivering value through applications like recommendation systems, fraud detection, and autonomous vehicles. Additionally, it ensures model performance monitoring, scalability, and version control, guaranteeing that AI systems remain accurate and up-to-date.
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Top Model Deployment & Serving Companies

United States / Founded Year: 2013
Databricks operates within the technology sector and provides data and artificial intelligence (AI) solutions. The company offers a platform that integrates data management, analytics, and AI for data-centric applications and services. Databricks serves industries such as communications, financial services, healthcare, manufacturing, media and entertainment, public sector, and retail. It was founded in 2013 and is based in San Francisco, California.
Known Partners
CipherSense AI, Thoughtworks, Analytics8, and 2 more
Known Customers
Pathnostics, New Look, Synapxe, and 2 more
Key People
Patrick Wendell, Ion Stoica, Arsalan Tavakoli-Shiraji, and 2 more

France / Founded Year: 0000
Hugging Face is an open-source machine learning platform that focuses on artificial intelligence within the technology sector. The company provides a space for the machine learning community to develop models, share datasets, and host artificial intelligence (AI) applications, and offers enterprise solutions. Hugging Face was formerly known as Hugging Face. It was founded in 2016 and is based in Paris, France.

United States / Founded Year: 0000
Amazon Web Services provides cloud computing services in sectors including technology, finance, and healthcare. AWS offers services such as virtual servers and data storage, as well as AI and machine learning capabilities. The company serves startups, enterprises, and public sector organizations that use cloud technology. It was founded in 2006 and is based in Seattle, Washington. Amazon Web Services operates as a subsidiary of Amazon.

United States / Founded Year: 0000
Google Cloud operates as a cloud computing service provider offering various solutions, including artificial intelligence (AI) and machine learning, data analytics, and managed databases. The company provides a platform for businesses to leverage AI and machine learning, manage data with analytics, and modernize infrastructure. Google Cloud's services cater to different industries, offering tools for application programming interface (API) management and serverless computing. It was founded in 2008 and is based in Mountain View, California.

United States / Founded Year: 0000
Microsoft Azure is a cloud computing platform that provides various services for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. It includes solutions like virtual machine hosting, data storage, software development tools, and services for big data analytics, artificial intelligence, and Internet of Things integration. Microsoft Azure serves sectors that need computing resources and application development tools. It was founded in 2010 and is based in Redmond, Washington.

Baseten engages in the deployment and serving of machine learning models, focusing on infrastructure and tools that support AI applications. The company provides services including deployments for high-scale workloads, model APIs for testing and prototyping, and an inference stack for production environments. Baseten serves various sectors with solutions for generative AI applications, transcription services, text-to-speech, and large language models. It was founded in 2019 and is based in San Francisco, California.
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Together AI focuses on the development, training, fine-tuning, and deployment of generative artificial intelligence (AI) models. The company provides services including AI model training, inference, and utilizes a cloud-based infrastructure. Together AI serves various sectors by offering solutions that cover the generative AI process from research to production. It was founded in 2022 and is based in San Francisco, California.

United States / Founded Year: 0000
Modal specializes in artificial intelligence (AI) infrastructure and operates within the technology sector. The company offers a platform that enables data science and machine learning teams to deploy generative AI models, manage large-scale batch jobs, and scale workloads across multiple central processing units (CPUs) and graphics processing units (GPUs). Modal's platform is designed for computing, with a pay-per-use model that charges based on actual compute time. It was founded in 2021 and is based in New York, New York.
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United States / Founded Year: 0000
Fireworks AI specializes in generative artificial intelligence platform services, focusing on inference and model fine-tuning within the artificial intelligence sector. The company offers an inference engine for building production-ready AI systems and provides a serverless deployment model for generative AI applications. It serves AI startups, digital-native companies, and Fortune 500 enterprises with its AI services. It was founded in 2022 and is based in Redwood City, California.
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United States / Founded Year: 0000
Anyscale is a company that develops an artificial intelligence (AI) platform within the technology sector. Its offerings include an AI platform powered by RayTurbo, an AI compute engine for running AI workloads across various environments with Python APIs. Anyscale's platform includes orchestration and governance tools to manage the performance and cost of AI applications. Anyscale was formerly known as Indigostack. It was founded in 2019 and is based in San Francisco, California.

BentoML is involved in AI system development and deployment, offering services such as model serving, cloud-based AI infrastructure, and tools for building scalable AI systems. The company serves sectors that require AI applications, including the ecommerce industry, real estate tech industry, and cloud computing industry. It was founded in 2019 and is based in San Francisco, California.
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United States / Founded Year: 0000
OctoAI specializes in the deployment and optimization of generative AI models for various applications across the tech industry. The company offers a platform for serving AI models with customizable solutions for specific use cases, and the ability to operate in both SaaS and private environments. OctoAI's services cater to developers and enterprises looking to integrate AI into their products. OctoAI was formerly known as OctoML. It was founded in 2019 and is based in Seattle, Washington. In September 2024, OctoAI was acquired by NVIDIA at a valuation between $165M and $250M.
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Replicate operates in the artificial intelligence sector. The company offers a platform that allows users to run and fine-tune open-source models, deploy custom models at scale, and generate images, text, videos, music, and speech. It primarily serves sectors that require machine learning capabilities. It was founded in 2019 and is based in San Francisco, California.
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Seldon specializes in machine learning operations (MLOps) solutions and focuses on the deployment and management of machine learning models for enterprise companies. The company offers a software framework that enables businesses to deploy, monitor, and manage machine learning models. Seldon's products cater to a variety of industries that require robust machine learning operations, including financial services, automotive, and insurance sectors. It was founded in 2014 and is based in Shoreditch, United Kingdom.

VESSL AI provides machine learning operations (MLOps) solutions for machine learning teams across various sectors. The company offers a platform that enables the training and deployment of artificial intelligence (AI) models with features such as serverless environments, graphics processing unit (GPU) resource management, real-time monitoring, and continuous integration/continuous deployment (CI/CD) workflows. VESSL AI serves sectors that require machine learning infrastructure and tools. VESSL AI was formerly known as SavviHub. It was founded in 2020 and is based in San Jose, California.
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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 Model Deployment & Serving?
The model deployment & serving market revolves around the process of taking trained machine learning models and making them accessible for real-time predictions and use in applications. This market provides solutions for deploying models at scale, ensuring efficient, low-latency predictions. It enables organizations to operationalize their AI investments, delivering value through applications like recommendation systems, fraud detection, and autonomous vehicles. Additionally, it ensures model performance monitoring, scalability, and version control, guaranteeing that AI systems remain accurate and up-to-date.
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