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Aparna Dhinakaran
@aparnadhinak
founder @arizeai. I post about agents and evals. previously: @uber, @ycombinator alum
1.8K Following    11.7K Followers
Jason and I started Arize 6+ years ago with a simple proposition that headlined our seed deck: “We Make the World's AI Work” Today we are announcing we’ve entered into a definitive agreement to be acquired by Dynatrace to accelerate that vision. We made a bet years ago that the explosion of AI would require bespoke infra tools. We knew AI systems weren’t going to behave like traditional software because we were building the next generation of intelligence. That bet became the market's first AI Observability platform. Fast forward to 2026. The world has changed dramatically. Every company in the world is scaling up its use of agents. AI is everywhere and agents are reshaping business after business. What wasn’t clear years ago and is crystal clear today is that agent systems and software are deeply connected together in ways that none of us fathomed. - The best general agents are coding agents. - Skills and tools for agents are mixtures of prompts and code. - Prompts that control agents live in code repos. - The logs and traces used to debug your software also help you debug your AI systems. - The path to AGI is likely through coding agents. The two worlds of AI and software observability are coming together to create the future of observability. Lots more to share in the coming days, but I wanted to thank folks who made this possible: To the Arize team - startups are about the people you build with, and I’ve never met a better group of humble rockstars. The markets changed, our product evolved, but the camaraderie of the team through this journey is what I’m really proud of. To Jason, being in the trenches with you for the past 6 years has been the journey of a lifetime. You’re a visionary, and the best entrepreneur I know. Everything I know about entrepreneurship comes from watching you execute day in and day out - you always figured it out. Arize wouldn’t be Arize without you. To our customers, thank you for trusting us and building this category with us. You made the product better everyday, and inspired us with the products you’re building. To the open source community around Phoenix and OpenInference, developer trust and open standards are the foundation this category gets built on. And to our investors, advisors, and early believers who backed us when AI observability was not a budget line or even a real category yet, thank you. Onwards to the next chapter!
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