Autonomous delivery robots that cut last-mile costs by up to 60%

Envimo builds zero-emission sidewalk robots for last-mile delivery — and turns every trip into real-time urban data for cities and operators.

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Built in Barcelona, for European cities

Envimo started with a simple question: how do we make city deliveries cleaner and more efficient? The core team came together in 2026, bringing together robotics, AI, and urban logistics expertise to build a robot that does more than deliver — it helps cities understand how they move. Every Envimo robot is engineered and tested in Barcelona for European urban environments, built from day one for regulatory compliance and real-world sidewalk conditions.

What we build

One robot, two jobs: delivery and city data

Autonomous delivery

A 4-wheel-drive robot with flexible suspension for stable operation on uneven sidewalks. Secure compartment locking and thermal insulation keep food-grade payloads safe, with real-time GPS tracking from dispatch to doorstep.

Urban data collection

Modular sensor mounts carry cameras, air quality meters, microphones, and LIDAR. While delivering, the robot quantifies pedestrian and cyclist flow, classifies mobility types, and gathers anonymized demographic data for municipal planning.

AI-driven navigation

A multi-layered AI stack — computer vision, visual-language models, and large language models — lets the robot recognize pedestrians, vehicles, and signage, and navigate safely and autonomously in dense, unpredictable urban environments.

How it works – Delivery

From order to doorstep, fully autonomous

Step 1 — Dispatch

An order is routed to the nearest available robot and assigned an optimized route in real time.

Step 2 — Autonomous delivery

The robot navigates sidewalks and crossings independently, using onboard AI to read pedestrians, vehicles, and signage as it travels.

Step 3 — Data feedback

Every trip feeds sensor data — traffic flow, air quality, mobility patterns — back into insights for operators and city planners.

How it works – Urban Insight

Enhancing Delivery to City Monitoring Platform

Every delivery run doubles as a data-collection run that turns a simple drop-off into a continuous feed of urban insight.

Step 1 — Deliver, Sense

The robot completes its delivery route through city sidewalks and crossings, navigating autonomously with onboard AI. As it moves, onboard cameras, air quality sensors, microphones, and LIDAR continuously capture pedestrian flow, traffic activity, and environmental conditions along the route.

Step 2 — Transmit, Process

Sensor data is streamed in real time to Envimo’s platform, where our AI server digests it and performs recognition to identify patterns and flag issues. Every data point is timestamped and geo-tagged for precise, location-based insight — with GDPR compliance built into every stage of collection and processing.

Step 3 — Monitor

Cities and operators view the processed data on a live dashboard — tracking congestion patterns, air quality trends, and mobility insights across the areas the fleet covers.

Backed by

Supported by Barcelona’s innovation ecosystem

Supported by Consorci de la Zona Franca de Barcelona / Logistics 4.0

Envimo is backed by Consorci de la Zona Franca de Barcelona and was selected for the Logistics 4.0 incubator program, connecting Envimo with Barcelona’s logistics and innovation network as it moves from prototype to pilot deployment.

Urban data research with URBANLOG, UOC – Research partner

Envimo’s urban data methodology is developed in collaboration with URBANLOG, the urban logistics research group at the Open University of Catalonia (UOC). The partnership grounds our sensor-based city insights — traffic flow, mobility patterns, and urban planning data — in academic research on transport and logistics innovation.

Institutional support by ACCIÓ

Envimo is supported by ACCIÓ, the Catalan government’s agency for business competitiveness, as part of the region’s push to strengthen robotics, AI, and logistics innovation in Catalonia.