CopilotKit is an open-source company building the interface layer between humans and AI agents. Its SDK and the open AG-UI protocol let developers embed agents directly inside apps - rendering interactive UI, sharing state, and supporting human-in-the-loop workflows - instead of bolting on a text-only chatbot. Founded in 2023 by brothers Atai and Uli Barkai and headquartered in the Seattle area, the company raised a $27M Series A in May 2026 and counts Google, Microsoft, Amazon, Oracle, and a large share of the Fortune 500 among adopters of its protocol.
Max Ruderman is the CEO of Harmonic, a New York-based data company building what he calls 'the source of truth for startups.' A former Google engineer who turned to entrepreneurship after a jiu-jitsu injury sidelined him, Ruderman helped grow Harmonic from a tool that scraped Delaware corporate filings into a real-time startup database used by investors at Floodgate, Craft Ventures, a16z, Accel, and companies like Brex, Notion, and Carta. He started as COO and became CEO, steering the company toward AI-driven sourcing with an investment agent built on LangGraph.
LangChain is the agent engineering company. It builds the open-source frameworks (LangChain, LangGraph) and the commercial platform (LangSmith, LangGraph Platform) that developers use to design, deploy, evaluate and observe LLM-powered applications and autonomous agents in production.
Harrison Chase is the co-founder and CEO of LangChain, the open-source framework that became the default scaffolding for developers building LLM-powered applications. Starting as an 800-line Python package he wrote as a side project in October 2022, LangChain has grown to serve 1 million+ developers, 80 million monthly downloads, and blue-chip enterprise customers from Uber to JPMorgan - reaching a $1.25 billion valuation after a $125 million Series B in October 2025. A Harvard-trained statistician who got into machine learning through sports analytics, Chase built LangChain to solve the problem he kept running into at work: there was no good way to chain LLM calls together into reliable, production-ready applications.