Top 10 AI Startups in Robotics & Computer Vision in Europe — February 2026

Published: 28 February 2026 | Times of Startups

Europe has quietly become one of the strongest global hubs for applied artificial intelligence in robotics and computer vision. While generative AI dominates headlines, startups across the continent are solving real-world physical problems — from autonomous driving and industrial inspection to waste management, traffic intelligence, and agricultural robotics.

Here are the Top 10 AI Startups in Robotics & Computer Vision in Europe that stand out in February 2026 based on technology depth, commercial traction, and recent funding momentum.

1. Wayve (United Kingdom)

What they do: Wayve is building end-to-end AI models for autonomous driving using deep learning trained directly on camera and sensor data. Unlike rule-based autonomous systems, Wayve’s approach relies on data-driven neural networks that learn driving behavior in complex real-world environments.

The company focuses on scalable autonomy that can be deployed across vehicle platforms rather than confined to limited geo-fenced robotaxi zones. Their AI stack adapts continuously through reinforcement learning and large-scale fleet data collection.

Recent funding: In February 2026, Wayve secured a major funding round to accelerate commercial deployment and expand partnerships with automotive manufacturers.

2. ANYbotics (Switzerland)

What they do: ANYbotics develops autonomous four-legged inspection robots designed for harsh industrial environments such as oil & gas facilities, power plants, and chemical sites. Its flagship robot, ANYmal, combines advanced perception, autonomous navigation, and analytics software.

The robots collect visual and thermal data, detect anomalies, and reduce human exposure to hazardous environments. ANYbotics integrates computer vision with rugged hardware engineering, enabling autonomous inspection in complex terrains.

Funding update: The company has raised significant growth capital to expand international deployments and industrial partnerships.

3. Oxa formerly Oxbotica (United Kingdom)

What they do: Oxbotica develops a universal autonomy software platform designed to power commercial vehicles, logistics fleets, and industrial mobility systems. Its modular software stack integrates perception, mapping, planning, and control.

Unlike single-vehicle focused companies, Oxbotica positions itself as a cross-platform autonomy provider, enabling autonomy across sectors including mining, warehousing, and public transport.

Funding highlight: Backed by major Series C funding and strategic investors, Oxbotica continues to scale commercial autonomy deployments across Europe and beyond.

4. Scandit (Switzerland)

What they do: Scandit builds enterprise-grade smart data capture solutions using computer vision and augmented reality. Its software enables barcode scanning, text recognition, object identification, and AR overlays directly on smartphones and industrial devices.

The platform is widely adopted across retail, logistics, and field service industries, where real-time data capture significantly improves operational efficiency.

Funding status: Scandit achieved unicorn valuation following major funding rounds and continues expanding globally.

5. V7 (United Kingdom)

What they do: V7 provides AI data infrastructure tools for training high-performance computer vision models. The company specializes in automated image and video labeling, active learning, and dataset management.

By accelerating data annotation workflows, V7 reduces the time required to train production-grade computer vision systems used in robotics, medical imaging, and industrial inspection.

Growth momentum: Multiple funding rounds have enabled expansion into enterprise AI pipelines and global customers.

6. Greyparrot (United Kingdom)

What they do: Greyparrot develops AI-powered computer vision systems for waste management facilities. Its technology analyzes waste streams in real time, improving sorting accuracy and providing data-driven insights for recycling optimization.

The startup plays a critical role in advancing circular economy initiatives by helping recycling plants reduce contamination and increase material recovery rates.

Funding update: Secured funding to expand deployment of its waste intelligence platform across Europe and North America.

7. Photoneo / Brightpick Group (Slovakia)

What they do: Photoneo specializes in high-resolution 3D machine vision systems that enable robots to perform bin-picking, palletizing, and object recognition tasks with high accuracy.

Its vision sensors are widely used in warehouse automation and smart manufacturing. The company’s integration into broader industrial ecosystems has strengthened its market reach.

Corporate development: Strategic acquisition activity enhanced its position in the industrial automation space.

8. VivaCity (United Kingdom)

What they do: VivaCity develops computer vision systems for smart city infrastructure. Its edge-based AI monitors traffic flow, pedestrian movement, and micromobility patterns while preserving privacy through anonymized processing.

The technology helps city planners optimize traffic signals, improve road safety, and design smarter urban environments.

Funding update: Raised additional capital to expand international smart city deployments.

9. R3 Robotics (Luxembourg)

What they do: R3 Robotics builds automated disassembly systems powered by robotics and computer vision to process electric vehicle batteries and components efficiently.

The startup contributes to the circular economy by enabling safe, scalable EV battery recycling and reuse operations.

Recent funding: In February 2026, R3 Robotics raised €20 million to expand production and automation capabilities.

10. Grodi (Spain)

What they do: Grodi develops AI-powered robots for greenhouse automation. Its systems use computer vision to monitor crops, automate pruning and harvesting, and optimize plant health in controlled environments.

By integrating robotics with agricultural analytics, Grodi addresses labor shortages and productivity challenges in European agriculture.

Recent funding: The startup secured new capital in February 2026 to accelerate greenhouse automation across Europe.

Why Times of Startups Selected These Companies

• Commercial traction: These startups have moved beyond prototypes into production deployments.
• Strong funding momentum: Recent capital raises indicate investor confidence.
• Deep technology moats: Proprietary datasets, advanced perception stacks, and integrated hardware systems.
• Sector impact: From autonomy and industrial robotics to smart cities and agriculture.
• European innovation leadership: These companies represent Europe’s growing strength in applied AI.

This list is curated by the editorial team at Times of Startups based on funding announcements, innovation strength, and commercial adoption as of February 2026.