Lior Abutbul is an AI practitioner and newsletter writer focused on the frontier of agentic AI systems. Through the Agentic AI Weekly newsletter, Lior breaks down how autonomous AI agents work, where they're headed, and how builders and operators can put them to use today.
Muhammad Umair is a Pakistan-based AI consultant, ML engineer, and PhD researcher who has spent seven-plus years building machine learning systems that actually ship. He leads AI training at atomcamp, has driven AI initiatives for UNDP Pakistan, and has built three AI SaaS products end-to-end. His PhD research at UESTC focuses on multimodal test-time adaptation and low-resource learning - the kind of work that makes AI usable in places where data is scarce and compute is expensive.
ZeroEval is a New York-based AI startup from Y Combinator's Summer 2025 batch building an auto-optimizer for AI agents. Founded by Jonathan Chavez and Sebastian Crossa - two friends who met in college in Mexico - the platform captures every interaction your AI agent makes, scores quality with custom LLM judges, and automatically turns real production data into better prompts. The result: agents that get smarter after launch without manual intervention. Trusted by DoorDash, Datadog, Hugging Face, and Harvard Medical School, ZeroEval closes what the founders call 'the last mile reliability gap' in agentic AI.
LlamaIndex is a San Francisco-based AI infrastructure company and open-source framework that enables enterprises to build intelligent document agents using large language models. Founded in 2022 by Jerry Liu and Simon Suo, it started as a side project called GPT Index and has grown into a full enterprise platform with products like LlamaParse (agentic OCR), LlamaCloud (enterprise SaaS), and a widely-used Python/TypeScript SDK. With 25M+ monthly downloads, 48K+ GitHub stars, and customers including Rakuten, Salesforce, and 90+ Fortune 500 companies, LlamaIndex is a leading player in the enterprise RAG and AI agent infrastructure space.
Autosana AI is the first agentic QA platform for iOS, Android, and Web. Founded by Yuvan Sundrani and Jason Steinberg in June 2025 and backed by Y Combinator (S25 batch), Autosana replaces brittle test scripts with AI agents that navigate apps like real users, described in plain English. The company raised $3.2M in February 2026 from YC, Pioneer Fund, Phosphor Capital, DeVC, 468 Capital, and angels including Paul Graham. Revenue is growing 100%+ month over month, and the platform now protects apps serving over 100 million daily active users. The name comes from the Latin 'autosana' — to heal oneself — reflecting tests that evolve alongside the product rather than breaking on every UI change.