Rome (LinkedIn) · Oct 2025
Rome highlighted a Bosch partnership focused on AI agents for proactive logistics and goods-receipt workflows, with Bosch Budweis cited as a live collaboration site.
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Rome AI is an enterprise AI company focused on supply-chain execution: it transforms messy operational data into a live model that enables AI agents to collaborate with suppliers, factories, carriers, and customers, resolve disruptions, and automate decisions in real time.
Primary product
AI Planners
Founded
2023
Headquarters
New York, New York, United States
Team size
1-10
Industry
Information Services
Sub-industry
Supply chain execution AI / supply chain management software
Offices
0 jobs at Rome
Check back later for new openings
Business model
Stage
seed
Latest round
Seed · Jan 2025
Jan 2025
Leadership
Founder and CEO
Co-Founder
Head of AI
Founding Engineer
Investors
Public signals emphasize speed, entrepreneurial mindset, and cross-functional collaboration. Rome’s messaging and partner posts stress agility, rapid execution, and working closely with enterprise operators rather than layering on extra alerts.
Pricing
Enterprise sales / book-a-demo contact model
Differentiators
Technology
Customers
Competitors
Estimated revenue
≈$440K estimated ARR (2025, public estimate)
Rome (LinkedIn) · Oct 2025
Rome highlighted a Bosch partnership focused on AI agents for proactive logistics and goods-receipt workflows, with Bosch Budweis cited as a live collaboration site.
IBTimes UK · Jun 2025
Profile of Johannes Herter and Rome’s approach to building live infrastructure for supply chains, including its Zurich office and the agentic execution model.
Digital Trends · Jun 2025
Explains Rome’s real-time decision-making architecture, emphasizing noisy real-world signals, autonomous exception handling, and infrastructure built for broken conditions.
London Business News · May 2025
Long-form feature on Johannes Herter’s role in Rome’s data infrastructure and the company’s approach to reconciling conflicting supply-chain data in real time.