Side-by-side comparison of AI visibility scores, market position, and capabilities
Agentic AI platform for enterprise procurement (formerly askLio); raised $33M including $30M Series A from a16z in Mar 2026; YC alum; Fortune 500 clients; AI agents automate supplier discovery, RFQ management, and purchase order execution end-to-end.
Lio (formerly askLio) is an agentic AI platform founded in 2023 to automate enterprise procurement workflows. A Y Combinator alumnus, the company was built on the insight that procurement — spanning supplier discovery, RFQ management, contract negotiation, and purchase order execution — is one of the most document-heavy, repetitive, and underautomated functions in large organizations. Lio's AI agents handle end-to-end procurement tasks that previously required large teams of specialists.\n\nThe Lio platform deploys autonomous agents that can navigate supplier portals, parse contracts, generate RFQs, compare bids, and flag compliance issues without human intervention at each step. It integrates with existing ERP and procurement systems, making it deployable without replacing core infrastructure. Target customers are Fortune 500 procurement and supply chain teams looking to reduce cycle times and headcount dependency while maintaining compliance and auditability.\n\nLio raised $33M including a $30M Series A led by Andreessen Horowitz in March 2026 — one of the largest early-stage procurement AI rounds to date. The a16z backing and Fortune 500 client traction validate Lio's position at the intersection of two powerful trends: agentic AI maturing beyond chatbots into autonomous workflow execution, and enterprise procurement digitization accelerating as supply chain resilience becomes a board-level priority.
Manus is an autonomous AI agent platform that can independently complete complex multi-step tasks by browsing the web, writing code, managing files, and using computer interfaces. HQ: Shanghai.
Manus is an autonomous AI agent developed by Monica (a Chinese AI company), designed to complete complex multi-step tasks independently using a combination of web browsing, code execution, file management, and computer interface interaction. Unlike AI chatbots that answer questions, Manus takes actions: given a research task, it can search multiple sources, synthesize findings, generate reports, and save the results — all without step-by-step human guidance. The system uses a "computer use" approach where the AI can operate software interfaces as a human would, making it capable of tasks across virtually any domain.
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