Everyone Talks About AI Agents. SWITCH Shows Their Real Impact — in Mobility
From mobility chaos to predictive control: how the new SWITCH AI Agent is making cities smarter.
🚀 Venture Spotlight is back! This edition is sponsored by SWITCH — The Street WITCHer, the Italian startup transforming urban mobility through AI and real-time optimization.
🚦 You’ve probably heard of SWITCH before. If not, take a look at this deep dive I shared a while back where I unpacked their approach to revolutionizing urban mobility and logistics with AI, predictive analytics, and real-time optimization.
🟢 Who is SWITCH?
SWITCH is an Italian startup founded by Matteo Forte and Nunzio Gianfelice, two entrepreneurs with deep roots in AI, data science, and urban mobility. Together with a growing technical team, they’ve focused on helping fleet operators and mobility tech companies unlock the full potential of their data — making operations smarter, more efficient, and driven by real-time intelligence.
Since their inception, SWITCH has:
✅ Processed over 5 million trips across urban mobility networks
✅ Raised €1M+ from top investors, including MobilityUp and Berkeley Skydeck Europe
✅ Delivered >92% forecasting and simulation accuracy
✅ Enabled operational efficiency gains of up to ~25% for their clients
Their mission is clear: turn fragmented, underutilized mobility data into actionable intelligence — and do it without forcing operators into complex, custom development projects.
Back then, SWITCH had already caught my attention with their strong vision: enabling fleet operators and mobility tech companies to predict demand, optimize resource allocation, and simplify operations with unprecedented accuracy.
That first feature explored how their proprietary technologies — like PULSE-AI and OPTIMESH — were laying the foundation for smarter, data-driven decision-making in mobility.
Since then, they’ve evolved.
Today, I’m excited to share this special collaboration with the SWITCH team to introduce their latest innovation: the SWITCH AI Agent.
🟢 What is SWITCH AI Agent?
In short, it’s an intelligent assistant designed specifically for urban mobility and logistics operators. But it’s not just another dashboard or standalone tool.
The AI Agent embeds directly into existing workflows — through API integration or chat-based interaction — providing real-time recommendations to:
✔ Forecast demand with high accuracy
✔ Optimize operational planning without the need for complex development
✔ Simulate strategies to maximize efficiency on the ground
At the heart of this evolution is SWITCH’s proprietary agentic engine, a technology that combines:
🔬 Advanced forecasting and simulation models
🌍 Contextual analytics (weather, public transport, local events)
🧠 Optimization algorithms for actionable, real-time decisions
It’s designed for operations teams, product managers, and mobility providers who want to do more with the data they already have — unlocking up to 25% operational efficiency gains, based on real-world deployments.
📊 Why does it matter?
Urban mobility remains one of the biggest friction points for cities worldwide. Despite advances in smart city infrastructure, most fleets and service providers still struggle to adapt quickly to changing demand, unexpected disruptions, or localized traffic dynamics.
The SWITCH AI Agent bridges that gap, allowing operators to:
Predict challenges before they arise
Optimize resource deployment on the fly
Avoid costly inefficiencies — all without building custom solutions from scratch
The best part? It integrates seamlessly with existing workflows, through APIs or chat interfaces, allowing operators to unlock tangible efficiency gains without building anything from scratch.
It’s a tool built by mobility experts, for mobility experts — and it’s rapidly becoming a reference point for those looking to modernize operations without the headache of major integrations or infrastructure overhauls.
🎯 Curious to see how SWITCH AI Agent could optimize your operations?
👉 Apply to their Early Access Program here to test the platform, explore real use cases, and connect directly with the team.
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