Global Startup Heat Map highlights 10 AI Startups shaping Industry 4.0 in 2023
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, which covers over 3 790 000+ startups & scaleups globally, we identified 458 industry 4.0 AI startups. The Global Startup Heat Map below highlights the 10 industry 4.0 AI startups you should watch in 2023 as well as the geo-distribution of all industry 4.0 AI startups & scaleups we analyzed for this research. Based on the heat map, we see high startup activity in the West Coast US and the UK, followed by India. These industry 4.0 AI startups work on solutions ranging from assisted maintenance and production management to voice-based control systems and machine learning.
As the world’s largest resource for data on emerging companies, the SaaS platform enables you to identify relevant technologies and industry trends quickly & exhaustively. Based on the data from the platform, the Top 5 Industry 4.0 AI Startup Hubs are in London, Bangalore, New York City, San Francisco & Singapore. The 10 hand-picked startups highlighted in this report are chosen from all over the world and develop solutions for quality management, visual inspection, anomaly detection, and more.
10 AI Startups shaping Industry 4.0 in 2023
By leveraging advanced algorithms, machine learning, and data analytics, AI enables automation, optimization, and intelligent decision-making. In manufacturing, AI-powered robots and machines enhance productivity, precision, and safety while predictive maintenance reduces downtime. Supply chains benefit from AI’s ability to optimize inventory management, demand forecasting, and logistics. AI-driven quality control systems also ensure higher product standards. In customer service, AI chatbots deliver personalized interactions and streamline support processes. Additionally, data analysis powered by AI provides valuable insights, enabling businesses to make data-driven decisions for better efficiency and competitiveness. However, the widespread adoption of AI also raises ethical and societal concerns, such as job displacement and data privacy. Balancing the benefits and challenges of AI is crucial to harness its potential and shape a future where humans and machines collaborate more effectively.
- BONDZAI – Voice-based Control System
- AITOMATIC – Virtual Operations Advisor
- AHX.ai – Product Quality Monitoring
- Dataviss – Visual Inspection Platform
- INVENTIO.ai – Low-code Industrial Apps
- sky vision – Workforce Productivity
- Cerrion – Anomaly Detection
- MAVERICK ML – Predictive Maintenance
- Preone – Production Management
- Tacto – Procurement Planning
BONDZAI makes a Voice-based Control System
French startup BONDZAI builds DavinSy Voice, a voice-embedded frontend artificial intelligence of things (AIoT) industrial control system. It features voice activity detection, speaker identification, wake word detection, command recognition, and acoustic scene classification. DavinSy Voice’s AI leverages real-time on-target learning to adapt its models to any language, accent, or environmental noise variations, facilitating voice detection in industrial environments. Additionally, the system offers a hyper-miniaturized footprint enabling the deployment of its collaborative AI models in edge devices and low-power electronic systems. This way, it solves zero dataset problems to train and build voice-activated autonomous robots and cobots.
AITOMATIC provides a Virtual Operations Advisor
US-based startup AITOMATIC develops aiVA, an industrial AI-based virtual advisor trained in domain-specific knowledge and industry best practices. It connects the client’s knowledge hubs like databases, search engines, manuals, documents, and diagrams, as an information source for its AI models. As a result, the internal knowledge hubs act as a source of truth for its AI models that provide real-time actionable recommendations and fact-checking for complex industrial problems. Further, it incorporates safety features and industry-specific best practices to ensure human safety in industrial environments. Organizations in retail, warehousing, marine, and electronics manufacturing use AITOMATIC’s application programming interface (APIs) to integrate aiVA into existing workflows and enhance productivity.
AHX.ai aids Product Quality Monitoring
UK-based startup AHX.ai builds an eponymous platform to provide predictive intelligence for product quality monitoring in the manufacturing industry. The startup’s platform leverages AI to ingest live data streams from manufacturing lines to deduce cost and quality predictions for manufactured products. Additionally, it offers real-time intelligence for manufacturing simulations, production optimization, dynamic scheduling, asset maintenance, and emission oversight. AHX.ai’s platform enables factories and manufacturing businesses to better utilize manufacturing data and prevent losses.
Dataviss builds a Visual Inspection Platform
Indian startup Dataviss provides DAT-Vision, a cloud-based AI-driven vision inspection and management platform that improves manufacturing inspection accuracy. It integrates machine vision data from the production line and provides insights on quality, yield, and cycle time using deep learning analytics. The platform also utilizes optical inspection to provide real-time inferences for early error detection, improve production efficiency, and forecast key performance indicators (KPIs). Manufacturing plants and factories leverage Dataviss’ platform to improve production yield, quality, and accuracy of real-time decision-making.
INVENTIO.ai builds Low-code Industrial Apps
Italian startup INVENTIO.ai provides In·Mind, a low-code application builder platform to integrate AI in industrial settings. It allows the addition of new nodes and functionalities through a modular graphic interface to upgrade existing solutions. The platform enables intuitive application development and integration with programmable logic controllers (PLCs), databases, or the internet. Moreover, it accommodates app design for edge computing, direct connection with local networks and field controllers as well as supports cloud services. The platform enhances user experience, improves task completion times, and facilitates industrial IoT data interpretation and management. Industries such as food, automotive, electronics, manufacturing, and recycling use INVENTIO.ai’s solution to automate and digitalize operations.
sky vision improves Workforce Productivity
Polish startup sky vision develops AI algorithms for worker efficiency monitoring and productivity improvement. The startup’s system utilizes camera feeds and people recognition algorithms to monitor workstation occupancy in production or warehouse settings. It continuously measures occupancy on parameters such as optimal workstation usage, materials availability for task completion, output monitoring, and time constraints. This enables production factories and warehouses to improve processes, increase worker occupancy at workstations, prevent downtime, parameterize work, and bring cost savings.
Cerrion simplifies Anomaly Detection
Swiss startup Cerrion builds a visual AI solution that facilitates production process deviation detection and automated root cause analysis to suggest improvement actions. Its advanced AI algorithms seamlessly integrate with the shop floor, learn the normal processes outlook, and track deviations and visual anomalies in real time. It thus provides actionable insights that enable faster problem-solving on the production line and support decision-making. Production teams including operators, supervisors, technicians, and production engineers use Cerrion’s solution to optimize production and improve return on investment (ROI).
MAVERICK ML enables Predictive Maintenance
UK-based startup MAVERICK ML develops Industrial Preparedness Platform for the space exploration, aerospace, and energy industries. Its real-time risk monitoring leverages custom neural models to deliver prognostics and diagnostics, allowing asset managers to take corrective actions faster. Additionally, the platform simplifies contingency planning and ensures a high level of preparedness while ensuring data security and transparency. This allows businesses to make proactive interventions and resolve issues systematically. Consequently, the platform improves machinery reliability and avoids failures that otherwise lead to loss of life and financial losses.
Preone simplifies Production Management
Chinese startup Preone offers machine learning-powered production management solutions. The startup’s product line includes platforms for data maintenance, execution monitoring, statistical analysis, and end-to-end production management. This aids in total resource planning, multi-level plan scheduling, and on-site problem tracking. Further, the platforms allow floor managers to perform report analysis, evaluate capacity, and more. The startup’s platform enables manufacturing businesses to optimize production workflows and maximize resource utilization.
Tacto facilitates Procurement Planning
German startup Tacto provides a procurement operating system for small and medium-sized enterprises (SMEs). It centralizes procurement data and utilizes AI-based data analytics to monitor various influencing factors on suppliers and item portfolios. This allows companies to automatically detect outliers and deviations as well as quickly initiate countermeasures. Further, the system allows procurement teams to easily qualify suppliers, automate master data maintenance, and better evaluate suppliers. This frees up the capacity of team members, reduces process complexity, and optimizes IT costs.
Discover All Emerging Industry 4.0 AI Startups
The 10 AI startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry Innovation Reports for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2023!
