Enterprise Tech / BI & Operational Intelligence • Development
Best AI Development Platforms Companies
What is AI Development Platforms?
The AI development platforms market offers solutions that serve as one-stop shops for enterprises that want to develop and launch in-house AI projects. Vendors in this space enable organizations to manage all aspects of the AI lifecycle — from data preparation, training, and validation to model deployment and continuous monitoring — through a single platform in order to facilitate end-to-end model development. Some vendors offer “drag-and-drop” interfaces or “plug-and-play” solutions that enable teams without in-depth AI expertise to build AI projects.
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Top AI Development Platforms Companies

Scale provides a data engine platform. The platform provides generative artificial intelligence (AI) strategies, including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise applications. It serves industries such as retail, electronic commerce, logistics, and more. Scale was formerly known as Scale Labs. It was founded in 2016 and is based in San Francisco, California.
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C3 AI (NYSE: AI) operates as an artificial intelligence (AI) powered enterprise application development platform. It helps businesses to build and deploy AI-powered applications across their operations. It serves industries such as oil and gas, manufacturing, and retail. The company was formerly known as C3 IoT, Inc. and changed its name to C3.ai, Inc. in June 2019. It was founded in 2009 and is based in Redwood City, California.

Dataiku develops a centralized data platform. Its solutions include data preparation, visualization, machine learning, analytic applications, and more. The company serves the banking sector, pharmaceuticals, manufacturing telecommunications sector, and more. It was founded in 2013 and is based in New York, New York.

Databricks is a data and AI company that specializes in unifying data, analytics, and artificial intelligence across various industries. The company offers a platform that facilitates data management, governance, real-time analytics, and the building and deployment of machine learning and AI applications. Databricks serves sectors such as financial services, healthcare, public sector, retail, and manufacturing, among others. It was founded in 2013 and is based in San Francisco, California.

Amazon Web Services specializes in cloud computing services, offering scalable and secure IT infrastructure solutions across various industries. The company provides a range of services including compute power, database storage, content delivery, and other functionalities to support the development of sophisticated applications. AWS caters to a diverse clientele, including sectors such as financial services, healthcare, telecommunications, and gaming, by providing industry-specific solutions and technologies like analytics, artificial intelligence, and serverless computing. It was founded in 2006 and is based in Duvall, Washington. Amazon Web Services operates as a subsidiary of Amazon.

Google Cloud Platform specializes in providing cloud computing services. The company offers a suite of cloud solutions including artificial intelligence (AI) and machine learning, data analytics, computing, storage, and networking capabilities designed to help businesses scale and innovate. Google Cloud Platform caters to various sectors such as retail, financial services, healthcare, media and entertainment, telecommunications, gaming, manufacturing, supply chain and logistics, government, and education. It was founded in 2008 and is based in Mountain View, California.
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DataRobot specializes in artificial intelligence and offers an open, end-to-end AI lifecycle platform within the technology sector. The company provides solutions for scaling AI applications, monitoring and governing AI models, and driving business value through predictive and generative AI. DataRobot serves various industries, including healthcare, manufacturing, retail, and financial services, with its AI platform. It was founded in 2012 and is based in Boston, Massachusetts.

Domino specializes in accelerating the development and deployment of data science work. It offers a platform that enables access to data, tools, computing, models, and projects across any environment, fostering collaboration and establishing best practices while ensuring governance and reducing costs. Domino primarily serves sectors such as life sciences, financial services, manufacturing, and insurance, providing solutions for preclinical research, clinical development, model risk management, fraud prevention, and more. The company was founded in 2013 and is based in San Francisco, California.
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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.

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.

IBM operates in artificial intelligence, automation, and hybrid cloud solutions across various sectors. The company provides services including AI technologies for business, consulting for operations, and management of IT infrastructure. IBM also focuses on cybersecurity, data analytics, and quantum computing. IBM was formerly known as the Computing-Tabulating-Recording Company. It was founded in 1911 and is based in Armonk, New York.

Kore.ai provides AI solutions across various sectors, including AI for work, processes, and services. It offers products that include an AI agent platform, tools for building AI applications, and AI agents designed to automate workflows in organizations. Kore.ai serves sectors that involve AI integrations such as customer experience, employee experience, and process automation. Kore.ai was formerly known as Kore. The company was founded in 2013 and is based in Orlando, Florida.

LangChain specializes in the development of large language model (LLM) applications and provides 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.

Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.

MindsDB is an AI development platform that specializes in real-time machine learning and AI model deployment within various business sectors. The company offers a suite of tools for automating AI workflows, integrating data sources, and customizing AI solutions to meet specific enterprise needs. MindsDB primarily serves developers and enterprises looking to implement and scale AI systems tailored to their data and security requirements. It was founded in 2017 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 AI Development Platforms?
The AI development platforms market offers solutions that serve as one-stop shops for enterprises that want to develop and launch in-house AI projects. Vendors in this space enable organizations to manage all aspects of the AI lifecycle — from data preparation, training, and validation to model deployment and continuous monitoring — through a single platform in order to facilitate end-to-end model development. Some vendors offer “drag-and-drop” interfaces or “plug-and-play” solutions that enable teams without in-depth AI expertise to build AI projects.
Expert Collections
Market Map
Similar Markets
Do you compete within AI Development Platforms?
Reach more buyers.
Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.