Effective inventory management is the backbone of retail success. Yet, traditional methods often struggle to balance customer demand and stock availability, leading to empty shelves or overstocked items. With Matrice’s AI-powered platform, we’re transforming how retailers approach inventory tracking and optimization. By leveraging computer vision and real-time analytics, our solution automates stock monitoring, ensures timely restocking, and enhances customer satisfaction — all while reducing operational costs. In our latest blog, we explore how Matrice tackles key inventory challenges through: ?? Dataset Preparation and Annotation ?? Model Training and Evaluation ?? Real-Time Stock Monitoring ?? Integration and Deployment ?? Real-World Use Cases From supermarkets to fashion retail and warehouses, Matrice's solution ensures shelves are never empty, and operational inefficiencies are a thing of the past. ?? Discover how AI is shaping the future of inventory management and helping retailers stay ahead in a competitive market. ?? Read the full blog here: https://lnkd.in/gw5esmCk #ArtificialIntelligence #InventoryManagement #RetailTech #MatriceAI #ComputerVision #RetailInnovation #AIInRetail
Matrice.ai
软件开发
San Francisco ，California 22,445 位关注者
Efficiently Access, Train, & Integrate the latest Computer Vision Models
关于我们
A No/Low-Code, Data-Centric Computer Vision Platform for Rapid Application Building and Deployment. Experience a 40% Faster Deployment Time and 80% Reduction in Development Costs.
- 网站
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https://www.matrice.ai
Matrice.ai的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco ，California
- 类型
- 私人持股
- 创立
- 2022
- 领域
- MLOps、Machine Learning、Computer Vision、Deep Learning和Gen AI
地点
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主要
获取路线
US，California，San Francisco ，94404
Matrice.ai员工
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Reda Al-Bahrani
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Amar Krishna
Co-Founder Matrice.ai | Innovating Computer Vision | Efficiently Access, Train, & Integrate the latest Computer Vision Models
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Ashis Das
SDE@Matrice | Ex-SDE Intern at Intelekt AI | React.js, NodeJS
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Himadri Pathak
Full-stack Developer @Matrice.ai | Ex-Intern @Oswal Group | Frontend Developer | Angular, React, JavaScript and Python
动态
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Discover how AI-powered traffic sign detection takes road safety to the next level! Our latest blog explores how Matrice.ai simplifies the complex task of identifying road signs, ensuring safer navigation for both human drivers and autonomous vehicles. Read more to see how AI is shaping the future of transportation safety. https://lnkd.in/gi8X5err #AI #TrafficSafety #ComputerVision #MatriceAI
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Great work by our team! Now you can directly clone and deploy Matrice Vision Models for specific applications, without needing your own dataset or training. Proud of Matrice AI team, led by Ayush Singh.
Co-Founder Matrice.ai | Innovating Computer Vision | Efficiently Access, Train, & Integrate the latest Computer Vision Models
Launch time ! Matrice Vision Models (MVMs) are Now Publicly Available! Today, we’re thrilled to announce the public launch of Matrice Vision Models (MVMs)—a cutting-edge computer vision solution purpose-built to drive transformational value for enterprises across industries like manufacturing, healthcare, retail, and logistics. ?? Why Matrice Vision Models? Unlike traditional models, MVMs are crafted from the ground up to meet the specific needs of each sector, providing unparalleled accuracy and speed. From real-time quality control in manufacturing to advanced diagnostics in healthcare, MVMs empower organizations to achieve their goals faster and more effectively. ?? Key Features for Enterprise Clients: Multi-Cloud Flexibility: Deploy seamlessly across AWS, GCP, Oracle, and more, giving you flexibility without vendor lock-in. Optimized for Scale: With advanced orchestration and inference optimization, MVMs can handle large-scale data seamlessly, allowing you to scale effortlessly. Real-Time Drift Monitoring: Ensure model accuracy over time with built-in monitoring, reducing the need for frequent retraining and maintaining high performance. Whether you’re focused on improving efficiency, enhancing customer experiences, or scaling operations, Matrice Vision Models provide the custom solutions your business needs to excel. Ready to see MVMs in action? Learn more about our solutions: Matrice Vision Models Matrice.ai Dipendra Jha, Ph.D. Reda Al-Bahrani Mohammed Usman F #MatriceVisionModels #ComputerVision #AI #EnterpriseAI #Innovation #MultiCloud #Efficiency #MatriceAI
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Optimizing AI Training Costs with Matrice.ai Want to train powerful AI models without breaking the bank? Our latest blog reveals insights from a large-scale ablation study where we trained a YOLOv8 model on 50,000 images across AWS, OCI, GCP, and Lambda Labs using the on-demand instances. The standout? Lambda's H100 GPU—offering the fastest training time and the lowest cost. Matrice's no-code platform makes it easy to choose the best cloud setup for your needs, balancing speed, cost, and reliability. Check out the full analysis to see how Matrice can supercharge your computer vision projects: https://lnkd.in/gTsJRSsi #AI #MachineLearning #ComputerVision #Matrice #CostEfficiency #CloudComputing
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Check out how you can use Matrice.ai to build applications that solve real-world problems. Learn more: https://lnkd.in/gt74U5EK Book a Demo: https://lnkd.in/g6EvJVzj #AI #ConstructionSafety #MatriceAI
Construction sites are inherently dangerous, and ensuring workers' safety is paramount. With advancements in computer vision and object detection, it’s now possible to automate the detection of Personal Protective Equipment (PPE) compliance in real time. At Matrice.ai, we’ve developed a powerful no-code platform that allows you to build object detection models for PPE compliance. From dataset preparation to model deployment, our platform simplifies the process, offering real-time alerts, safety audits, and seamless integration options. Read the full use case here https://lnkd.in/gt74U5EK and learn how you can boost safety on construction sites using AI! #AI #ConstructionSafety #PPE #ComputerVision #MatriceAI #NoCode #YOLOv8
Enhancing Construction Worker Safety with Matrice | Matrice Blog
blog.matrice.ai
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Matrice.ai转发了
Construction sites are inherently dangerous, and ensuring workers' safety is paramount. With advancements in computer vision and object detection, it’s now possible to automate the detection of Personal Protective Equipment (PPE) compliance in real time. At Matrice.ai, we’ve developed a powerful no-code platform that allows you to build object detection models for PPE compliance. From dataset preparation to model deployment, our platform simplifies the process, offering real-time alerts, safety audits, and seamless integration options. Read the full use case here https://lnkd.in/gt74U5EK and learn how you can boost safety on construction sites using AI! #AI #ConstructionSafety #PPE #ComputerVision #MatriceAI #NoCode #YOLOv8
Enhancing Construction Worker Safety with Matrice | Matrice Blog
blog.matrice.ai
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We are excited to welcome Prof. Alok Choudhary to the Matrice.ai team as an Advisor! We look forward to your invaluable expertise in driving innovation in AI and computer vision as we continue to build scalable, cutting-edge solutions. Welcome aboard! #ComputerVision #AI #Innovation #MatriceAI
Co-Founder Matrice.ai | Innovating Computer Vision | Efficiently Access, Train, & Integrate the latest Computer Vision Models
?? Thrilled to welcome Prof. Alok Choudhary to the Matrice.ai team as an advisor! As the Harold Washington Professor of Electrical and Computer Engineering and Computer Science at Northwestern University, Prof. Choudhary brings decades of pioneering research in high-performance computing, AI/ML, and data science. Why this matters for computer vision & Matrice.ai: His groundbreaking work in distributed systems and parallel processing directly aligns with our mission to make CV deployment scalable and more efficient. His expertise will help bridge the gap between cutting-edge academic research and real-world industrial applications His research excellence in AI will accelerate our innovation in distributed CV optimization. His experience in successfully taking his university research as an entrepreneur, founding and exiting companies in data science and applications will be very valuable. This collaboration reinforces our commitment to staying at the forefront of AI innovation. By combining academic excellence with our industry-focused approach, we're building next-generation CV infrastructure that's both theoretically sound and practically powerful. Excited for this new chapter in making advanced computer vision accessible and efficient for enterprises worldwide! #ComputerVision #AI #AcademicCollaboration #Innovation #DeepLearning #Engineering Dipendra Jha, Ph.D. Reda Al-Bahrani
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Construction sites are inherently dangerous, and ensuring workers' safety is paramount. With advancements in computer vision and object detection, it’s now possible to automate the detection of Personal Protective Equipment (PPE) compliance in real time. At Matrice.ai, we’ve developed a powerful no-code platform that allows you to build object detection models for PPE compliance. From dataset preparation to model deployment, our platform simplifies the process, offering real-time alerts, safety audits, and seamless integration options. Read the full use case here https://lnkd.in/gt74U5EK and learn how you can boost safety on construction sites using AI! #AI #ConstructionSafety #PPE #ComputerVision #MatriceAI #NoCode #YOLOv8
Enhancing Construction Worker Safety with Matrice | Matrice Blog
blog.matrice.ai
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Matrice.ai is seeking talented developers with top-notch coding abilities for various internship roles in front-end, back-end, system engineering, and machine learning. Join our dynamic team to collaborate on cutting-edge AI projects, utilizing foundation and multimodal models for computer vision. If you are a final year undergraduate student majoring in computer science or a related field, apply now at: https://lnkd.in/gTF2V5Rv.
Matrice.ai - Efficiently Train, Access & Integrate the latest Computer Vision Models
matrice.ai
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Great work from our Matrice.ai team integrating #LambdaServers GPUs from Lambda to provide a cloud-agnostic optimized compute service to make GPU compute more affordable for customers currently using #AWS, #GCP, #OCI or other GPU vendors.
?? Exciting News from Matrice.ai ! ?? We’re thrilled to announce that we've expanded our compute platform to include?Lambda GPU instances (Nvidia A100 and A10), offering powerful performance at a?lower cost?compared to other providers!???? Their GPUs are around 1/3rd the cost of other compute providers like Amazon Web Services (AWS) and Oracle Cloud (for Nvidia 1xA10), making high-performance model training more accessible: Alongside Amazon Web Services (AWS) , Oracle Cloud , Google Cloud , and Lambda, we are also working on supporting on-premise model training and deployment, offering greater flexibility for your machine learning projects. At Matrice.ai , we’re committed to providing the best-in-class infrastructure to fuel your AI and computer vision projects. Stay tuned for more updates! Dipendra Jha, Ph.D. Reda Al-Bahrani Amar Krishna #AI #ComputerVision #CloudComputing #LambdaLabs #AWS #OCI #GCP #GPUs