Exclusive: AI startups dominate Enterprise Tech list
While the jury is still out on how much AI tech will boost productivity and profitability, enterprise tech is all in on AI—with nearly half of the companies on the Enterprise Tech 30 list having origins rooted in generative AI.
Read the article for details on why companies building AI's infrastructure, tooling and core model technologies are attracting the most venture capital attention and what that means for the future of enterprise tech.
What is the focus of the latest Enterprise Tech 30 list?
The latest Enterprise Tech 30 list emphasizes the dominance of AI startups in the technology sector, particularly those focused on AI infrastructure, tooling, and core model technologies. This reflects a significant investment by businesses in generative AI over the past two years.
How many companies are featured in the ET30 2024 list?
The ET30 2024 list features 40 companies divided into four categories: 10 early-stage, 10 mid-stage, 10 late-stage, and 10 'giga' companies. Notably, 30% of these companies are focused on AI models and tools.
Which companies are leading in the early and mid-stage categories?
In the early-stage category, LangChain is recognized for its tools that support applications powered by large language models. For the mid-stage category, Pinecone stands out as a data platform that enhances results from large language models through a technique known as retrieval augmented generation (RAG).

Exclusive: AI startups dominate Enterprise Tech list
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COR Concepts provides Information Governance, Records Management and Enterprise Content Management (ECM) consulting and training services. The company is built on the belief that any Information, Records or Document Management initiative should be designed to extract the maximum business benefit for the organization.
We bring together Compliance, Risk Management and Operational information requirements in a way that delivers benefits to each one of these diverse business units. Our approach is to use an array of industry standards and best practice methodologies to ensure that each implementation will stand the test of time.
We see information governance and records management as an integral part of any Enterprise Content Management implementation and focus on building a solid platform including a records management policy, records management procedures, file plans and a solid change management infrastructure. Building and implementing governance structures is becoming essential for success and we design structures to ensure that all governance aspects are included.