Agentic bites & drinks at Forbes 30u30 | Hosted by Optimal AI

​Join us for an intimate evening of drinks and bites during Forbes 30 Under 30 in Phoenix, right across from the Phoenix Convention center.

​We’re bringing together a small group of founders, builders and engineering leaders for an off-the-record conversation on agents.

​The reality is code volume has 10x’d. Writing code is no longer the bottleneck. Quality, judgment, and reliability are.

​We’ll dig into:

• ​Managing teams of agents: where it’s actually driving leverage vs. creating noise. And OpenClaw agents.

• ​Creating agents as teammates

• ​What’s breaking further down the dev cycle (testing, validation, reliability)

• ​The future of code review and debugging in a world of AI-generated code

​Event Details
Monday, April 20th
5:30 PM MST
Hyatt Regency Phoenix (exact location shared upon approval)

​Hosted by

​Iba Masood
Co-founder & CEO, Optimal AI
Forbes 30 Under 30, YC alum

​Iba is a Bay Area–based serial, exited entrepreneur with over a decade of experience in artificial intelligence. Her work has been featured in Wired, Forbes, and TechCrunch. She previously founded Tara AI, a venture-backed company focused on improving how engineering teams plan and deliver software.

​Syed Ahmed
Co-founder & CTO, Optimal AI
Forbes 30 Under 30, YC alum

​Syed has spent over a decade building machine learning systems and prediction engines across robotics, weather data, and engineering productivity. He has been recognized by the United Nations ITU as one of the top innovators globally. Prior to Optimal AI, he co-founded Tara AI and worked on data-intensive systems across aerospace and meteorology.

​About Optimal AI

​Optimal AI is building the quality and judgment layer for AI-generated code.

​As code volume explodes, the bottleneck isn’t writing—it’s ensuring code is correct, secure, and production-ready.

​We’re starting with Optibot, a thoughtful code review agent that runs directly inside developer workflows (GitHub, Cursor, and more), delivering deep, context-aware reviews without burning through token limits. It acts like a teammate with full codebase context—reviewing PRs line-by-line, catching bugs and security issues early, and helping teams ship faster with confidence.

​Customers include Bear Robotics, LG, TaxGPT, Soraban, MongoDB, Prometric, mPulse and thousands of engineers.