Established startups compete with incumbents, while newer firms provide specialized offerings

Prominent expansion-stage AI players, such as Scale AI and DataRobot, also provide integrated offerings for enterprise users that compete with incumbent solutions. Firms such as SambaNova Systems, Cerberus Systems, and Graphcore have raised significant funding to compete in the hardware infrastructure space. Another growing trend has been the entry of data infrastructure providers, such as Databricks, Snowflake, and Datasaur, leveraging their data expertise to introduce LLM and GenAI development solutions.

Startups established in the last few years have gravitated toward providing specialized solutions and services in a specific part of the GenAI value chain, such as prompt engineering, model monitoring, and data storage and retrieval.

More recently, there have been growing concerns over the safety of AI models due to data breaches, biases and inaccuracies, and impending regulations over copyright and the use of AI in sensitive areas. This has led to the emergence of specialized AI safety and governance tools, where firms offer solutions to develop and implement governance policies while improving the security of their models.