Discover the 10 embodied AI startups reshaping industries in 2025 with innovative technologies. From ready-to-use neural networks and virtual AI testing platforms to respiratory sensors and drone-based UXO detection, these startups demonstrate how embodied AI transforms logistics, healthcare, and sustainability. Explore their innovative applications, market impact, and the collaborative ecosystem driving their growth.
10 Embodied AI Startups to Watch in 2025
- Focoos AI – Ready to use Neural Networks
- ReSim.ai – Platform For Testing AI
- Meraker – Artificial Intelligence Sensor Technology
- Resmonics – AI Sensors for Respiratory Symptoms Detection
- Neural Foundry – Adaptive AI Intelligent Robots
- Garda-Tech – Commercial Kitchen Appliances Smart Monitoring
- BROSWARM – Mine Detection Technology
- Zygizo – AI-based Snow Water Content Detection
- Dropla – Drone-based UXO Detection
- ToPerform – Industrial Pollution Reduction Solutions
Discover 10 Embodied AI Startups to Watch in 2025
1. Focoos AI
- Founding Year: 2022
- Location: Turin, Italy
- Use For: Designing and Training of Neural Architectures
Italian startup Focoos AI develops ready-to-use neural networks optimized for computer vision applications through its software, Anyma.
This platform streamlines development for a variety of sectors by automatically designing and training neural architectures that are suited to certain hardware configurations and performance requirements.
Anyma improves computing efficiency while lowering expenses and energy usage by producing models faster and smaller.
Focoos AI also enables businesses to swiftly and efficiently implement intelligent visual solutions.
Additionally, It offers integration into current systems, safe on-premise data processing, and support for applications like satellite mapping, traffic monitoring, and defect identification.
2. ReSim.ai
- Founding Year: 2020
- Location: Pittsburgh, Pennsylvania, USA
- Use For: Virtual Testing Infrastructure for Robotics and AI
US-based startup ReSim.ai provides a platform for testing AI and robotics through scalable virtual testing infrastructure. The platform’s integration with current simulation or replay tools enables developers to safely package, register, and run virtual tests parallel across the cloud.
ReSim.ai simplifies the process of evaluating embodied AI’s performance against defined success criteria by enabling A/B testing, pass/fail evaluation, and rich metrics.
Its dashboard allows the team to focus on innovation instead of infrastructure by providing high-level analytics and actionable information.
Additionally, the startup speeds up development cycles, reduces the need for expensive field testing, and enables robotics and AI companies to launch products quickly and reliably.
Further, ReSim.ai raised USD 10.3 million in seed funding, led by A Capital, Anim, Five Two Five, Lightspeed Venture Partners, and Shield Capital.
3. Meraker
- Founding Year: 2021
- Location: Seoul, South Korea
- Use For: Screening and Diagnosis of Diseases
South Korean startup Meraker creates AI sensor technology that advances applications in medical imaging and video processing.
Its QuuP AI-powered rendering solution works with all VFX tools. It automates the development of 4K rendering images which cuts production time and expenses.
Additionally, Meraker’s AI-enabled ophthalmic camera allows for high-resolution imaging of the front and posterior segments of the eye.
This facilitates real-time screening and detection of major eye illnesses by integrating advanced algorithms into portable hardware.
4. Resmonics
- Founding Year: 2020
- Location: Zurich, Switzerland
- Use For: Employee Health Management
Swiss startup Resmonics creates AI sensors that use proprietary algorithms with ambient AI technology to identify and track respiratory ailments in real time. This solution recognizes and categorizes the signs of respiratory and lung diseases in monitored environments.
Additionally, Resmonics provides dashboards with compiled insights for hygiene managers and doctors which facilitate trend analysis and data-driven decision-making.
The startup also improves patient care and workplace health by enabling practitioners to forecast health issues using pattern recognition and benchmarking.
5. Neural Foundry
- Founding Year: 2021
- Location: London, UK
- Use For: Industrial Automation
UK-based startup Neural Foundry creates intelligent robots driven by adaptive AI that increase automation and productivity in a variety of industries.
Its solutions’ advanced features like quality control, predictive maintenance, and operational optimization combine robotics, computer vision, and large-language models.
Further, the startup’s configurable autonomous robots address specific operational challenges in industries including construction, industrial automation, and pharmaceuticals.
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6. Garda-Tech
- Founding Year: 2020
- Location: Be’er Ganim, Israel
- Use For: Smart Control for Cooking Appliances
Israeli startup Garda-Tech develops smart monitoring technology for commercial kitchen appliances to improve energy efficiency and food waste management.
Its smart knob technology shows the temperature and flame timing in real time and monitors and regulates the energy flow to cooking appliances.
The system ensures consistent food quality by optimizing cooking based on temperature, visibility, and time profiles by utilizing AI algorithms and image processing.
7. BROSWARM
- Founding Year: 2023
- Location: Vilnius, Lithuania
- Use For: Mine Detection
Lithuanian startup BROSWARM develops mine detection technology that leverages AI to create advanced sensory arrays and sensor fusion systems.
It detects unexploded ordnance (UXO) above and under the ground. Its solution combines AI-powered sensors installed on drones to detect and categorize UXOs and landmines.
The AI-enhanced detection capabilities combine sensor arrays and sensor fusion techniques to increase accuracy and efficiency.
Moreover, the startup creates life-saving technology that helps to protect environments by efficiently identifying and aiding in the removal of explosive risks.
Additionally, Broswarm secured approximately USD 856 000 in funding from ScaleWolf, which is a hybrid accelerator and fund for defense tech.
8. Zygizo
- Founding Year: 2021
- Location: Stavanger, Norway
- Use For: Power Production and Drinking Water Reserves’ Efficient Operations
Norwegian startup Zygizo develops AI-based snow water content detection technology that measures Snow Water Equivalent (SWE) to optimize resource management and safeguard infrastructure.
The system gathers real-time data on snow characteristics, such as weight, density, and water content utilizing sensors and AI algorithms to enable precise evaluations and forecasts.
In addition, it offers various advantages such as actionable insights on user’s devices, correct flood and avalanche risk projections, and automated danger notifications.
Zygizo also optimizes snow as a renewable resource while improving safety and infrastructure for hydropower, transport, and alpine recreation
9. Dropla
- Founding Year: 2023
- Location: Odense, Denmark
- Use For: Demining Solutions
Danish startup Dropla creates drone-based UXO identification technology that advances demining operations in hazardous environments by utilizing AI and sensor fusion.
The startup’s software detects and geotags landmines and unexploded ordnance (UXO) by combining remote sensing technologies with AI algorithms.
It also offers a swarm platform for automated drone coordination, unmanned ground vehicles (UGVs) for terrain-specific tasks, and augmented reality (AR) solutions for mission planning and training.
10. ToPerform
- Founding Year: 2020
- Location: Meppel, Netherlands
- Use For: Smart Industrial Cleaning Solutions
Dutch startup ToPerform develops industrial pollution reduction solutions using AI-powered smart fouling sensors to optimize production processes and reduce inefficiencies.
The device continuously tracks pipeline fouling while collecting data in real time to forecast the ideal time for cleaning and ensuring steady, high-performance flow.
The system lowers operating costs, improves productivity, and avoids downtime by switching cleaning from reactive to predictive. ToPerform’s sensors also have a plug-and-play design for easier integration into the current infrastructure.
Moreover, the startup’s data-driven and sustainable process optimization enables enterprises to minimize environmental effects while maintaining operational balance.
Discover All Emerging Embodied AI Startups
The 840+ startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach.
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