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Atmrix

About

AL

Aaron Levie

02/20/25

@ Y Combinator

Enterprises prioritize outcomes over the underlying AI models; they want effective solutions for customer support and workflow automation.

Video

YC

How AI Is Changing Enterprise

@ Y Combinator

02/20/25

Related Takeaways

WA

Waseem Alshikh

03/27/25

@ LangChain

Enterprises are now more focused on the value AI can deliver rather than the specific models or tools being used, seeking stable and reliable solutions.

SC

Scott Clark

05/23/25

@ a16z

Enterprises must ensure that AI applications align with their business values and goals, rather than solely focusing on performance metrics.

SC

Scott Clark

05/23/25

@ a16z

Enterprises should focus on building tools that allow domain experts to apply their expertise confidently without worrying about underlying AI behaviors.

YC

Y Combinator Cast

11/23/24

@ Y Combinator

Enterprises are currently uncertain about the AI agents they need, but experienced founders are focusing on creating customizable AI solutions for them.

YC

Y Combinator Cast

05/16/25

@ Y Combinator

Companies that sell AI solutions to enterprises can command higher budgets when they position themselves as replacements for traditional roles, like customer support or analytics teams.

YC

Y Combinator Cast

11/23/24

@ Y Combinator

Enterprises are already accustomed to the value of point solutions, making them more likely to invest in startups offering vertical AI agents.

PB

Paul Buchheit

01/25/25

@ Y Combinator

Building AI products that can perform tasks traditionally done by humans, like customer support or sales, is challenging but essential for winning large enterprise contracts.

YC

Y Combinator Cast

11/01/24

@ Y Combinator

As AI models become more deterministic and accurate, founders can focus more on improving user experience and customer relationships rather than troubleshooting AI outputs.

WA

Waseem Alshikh

03/27/25

@ LangChain

We're observing a trend where enterprises prefer integrated solutions over a collection of disparate tools, aiming for transparency and scalability in AI deployment.