Lio
Category: AI Agents
The world's first multi-agent system for procurement, finance & logistics that uses specialized AI agents working in parallel to automate end-to-end purchasing—from request submission to supplier negotiation, vendor onboarding, and order execution across ERPs, email, contracts, and the open web—spanning indirect and direct procurement. Lio was founded in 2023. The company is led by Vladimir Keil. Based in New York, USA. Team size: 101-500. Total funding raised: $33.0M. Latest round: Series A ($30.0M, Mar 2026). Key investors include Andreessen Horowitz (a16z), SV Angels, Harry Stebbings, Y Combinator.
- Founded
- 2023
- Headquarters
- New York, USA
- Team size
- 101-500
- Total funding
- $33.0M
Value proposition
Automates 85% of manual procurement operations, reducing processes from weeks to minutes while delivering 10% additional cost savings through intelligent negotiation and spend optimization. Enables employees to complete purchases in two clicks with enterprise-grade compliance and security.
Products and solutions
Multi-Agent Procurement Platform, Agent Operating Procedures (AOPs) Engine, Automated Request Triage & Classification, Supplier Comparison & Quote Analysis, AI-Powered Negotiation Agent, Vendor Onboarding Automation, End-to-End Purchase Execution System, Agentic Workforce Management Console
Unique value
Introduces Agent Operating Procedures (AOPs) to procurement—a paradigm shift that transforms Standard Operating Procedures (SOPs) into autonomous, executable workflows. Unlike traditional procurement software that assists human buyers, Lio's coordinated network of specialized AI agents executes complete workflows autonomously, with humans stepping in only for policy or commercial exceptions.
Target customer
Large enterprises and multinational corporations with complex procurement needs, particularly in manufacturing, automotive, and industrial sectors; procurement teams seeking to reduce manual workloads and operational costs
Industries served
Enterprise Procurement, Manufacturing, Automotive & Industrial Supply, Financial Services, Enterprise Software & SaaS
Technology advantage
AI-native platform built on agentic infrastructure where multiple specialized agents work simultaneously in parallel—researching vendors, negotiating terms, managing approvals, and tracking deliveries. Integrates seamlessly across and on top of existing enterprise systems (ERPs, systems of record, inboxes, contracts) without replacing them. Achieves 95%+ adoption rate and 100% customer retention by becoming mission-critical infrastructure.
How they differentiate
World's first multi-agent system for procurement using specialized AI agents working in parallel to autonomously execute complete procurement workflows—from vendor research and negotiation to approval management and delivery tracking—rather than just assisting human buyers. Introduces Agent Operating Procedures (AOPs) that transform Standard Operating Procedures into executable autonomous workflows.
Main competitors
SAP Ariba, Zip, Fairmarkit
Key partnerships
Schaeffler (global automotive/industrial supplier)—collaborative partnership redefining purchasing operations, Munich Re (enterprise client), Brose (enterprise client), Andreessen Horowitz (a16z)—lead investor and strategic partner, Y Combinator (S23 batch)—accelerator and backing, SV Angel, Harry Stebbings—participating investors
Notable customers
Munich Re (world's largest reinsurer), Brose (largest family-owned automotive supplier globally), Novonesis (formerly Novozymes), Schaeffler (global automotive/industrial supplier), Dormakaba, TÜV Süd, Rehau, BASF Coatings, tesa, Covestro, Bilfinger, Knorr-Bremse
Major milestones
Y Combinator S23 batch selection (2023), Series A led by Andreessen Horowitz in Mar 2026, Winner of DPW Growth Award (selected by 80+ international CPOs), BME Procurement Excellence Award with REHAU, Scaled to 1,000,000+ users and 150+ enterprise clients, Achieved 100% customer retention rate
Growth metrics
1,000,000+ users across 150+ enterprise clients; 100% customer retention rate; 85% reduction in manual procurement operations; 95%+ platform adoption rate; processes reduced from weeks to minutes; 10% additional cost savings through intelligent negotiation
Market positioning
AI-native agentic procurement platform competing against legacy enterprise suites and modern AI procurement tools; positioned as end-to-end automation solution for Global 2000 and Fortune 500 companies with complex procurement needs
Geographic focus
North America (primary expansion target), Europe (Germany/DACH region stronghold), with customers across automotive, financial services, chemicals, logistics, and pharmaceuticals industries
Patents and IP
No registered patents publicly disclosed as of latest update
About Vladimir Keil
Serial entrepreneur who built a profitable startup by age 22 (FitMyRide); co-founded Gabriel AI (2021), which partnered with German law enforcement; roles at Mercedes-Benz/Lab1886, CHECK24, Fraunhofer Venture, and GEMA; consulted enterprises on procurement; Y Combinator alumnus (S23); based in New York City Metropolitan Area; Master's in Management and Digital Technologies from Ludwig-Maximilians-Universität München. (SAP experience belongs to co-founder Till Wagner, not Keil.)
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Official website: https://lio.ai