【product description】
Landing AI is a company founded by Dr. Andrew Ng, a well-known expert in the field of artificial intelligence, co-founder of Coursera, former chief scientist of Baidu, and founding director of Google Brain, aiming to provide advanced computer vision solutions for various industries.
The core product of Landing AI is LandingLens, a cloud-based computer vision platform that allows users to quickly build and deploy efficient and accurate computer vision applications without programming or deep learning expertise. Landing AI also drives the data center AI movement, helping businesses with limited data sets realize the business value of AI and advancing AI projects from proof-of-concept to full-scale production.
【team introduction】
Landing AI is an artificial intelligence technology company founded by former Google Brain principal and AI expert Andrew Ng. The company was founded in 2017 and is headquartered in San Francisco, California, USA.
Landing AI has been attracting significant investment since its inception. The following is the historical financing situation of Landing AI company:
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In March 2018, Landing AI announced the completion of the A round of financing, with a financing amount of US$15 million. This round of investment was led by China Unicom Capital, Warburg Pincus and Morningside Capital.
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In January 2019, Landing AI announced the completion of its B round of financing, with a financing amount of US$300 million. This round of investment was led by Softbank Vision Fund, and existing investors also participated in this round of investment.
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In July 2020, Landing AI announced that it had completed its C round of financing, with an undisclosed amount of financing. This round of investment was led by Warburg Pincus, Softbank Vision Fund and Toyota, and existing investors also participated in this round of investment.
【Function】
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Data management: LandingLens can help users collect, organize, label and manage the data required for computer vision, and improve the quality and consistency of data. Users can use LandingLens built-in annotation tools, or access third-party annotation service providers for efficient and accurate data annotation. LandingLens can also automatically detect and correct annotation errors, as well as perform data augmentation and balancing to improve model performance.
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Model training: LandingLens can automatically select the most suitable deep learning model based on user data and needs, and perform training, verification and testing. Users can monitor the training progress and performance indicators of the model in real time in LandingLens, as well as adjust the parameters and hyperparameters of the model. LandingLens also supports multiple model types, including classification, detection, segmentation, tracking, and more.
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Model deployment: LandingLens can deploy trained models to different devices and environments, including cloud, edge devices, industrial cameras, etc. Users can easily manage and update the deployed model in LandingLens, and view the operation and results of the model in the actual scene. LandingLens also provides rich APIs and SDKs to facilitate users to integrate with other systems and platforms.
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Visual hints: LandingLens is the world's first commercially available visual hint function, which allows users to guide models to learn and improve through images or videos. Users only need to upload a picture or a video, and use arrows or text to mark the objects they want the model to recognize or ignore, and the model can adjust its behavior according to these prompts. In this way, users do not need to spend a lot of time and effort to collect more data or retrain the model.
product price
Landing AI currently provides three different levels of product price plans, namely:
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Free version: Suitable for individuals or small teams who want to try computer vision applications. The free version provides basic data management, model training and deployment capabilities, and a trial of the visual hints feature. The free version is limited to a maximum of 1000 images per project, a maximum of 10 models can be trained per month, and a maximum of 1 model can be deployed per month.
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Professional Edition: Suitable for small and medium-sized enterprises or institutions who want to develop and deploy computer vision applications. The professional version provides complete data management, model training and deployment functions, and the official version of the visual prompt function. The professional version is limited to a maximum of 100,000 images per project, a maximum of 100 models can be trained per month, and a maximum of 10 models can be deployed per month. The price for the Pro version is $199 per month.
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Enterprise Edition: For large enterprises or institutions who want to customize and extend computer vision applications. The Enterprise Edition provides all the features of the Professional Edition, as well as more advanced data management, model training, and deployment features, such as dataset merging, model fusion, and model optimization. The Enterprise Edition also provides exclusive technical support and consulting services. The price of the enterprise version needs to be customized according to the specific needs and scale of users.
common problem
Q: What is the difference between Landing AI and LandingLens?
A: Landing AI is a company that provides computer vision solutions. LandingLens is the core product of Landing AI, which is a cloud-based computer vision platform.
Q: Which industries and scenarios does Landing AI support?
A: Landing AI supports a variety of industries and scenarios, such as manufacturing, medical care, retail, agriculture, security, etc. Landing AI can help users solve various computer vision-related problems, such as defect detection, quality control, face recognition, object detection, pose estimation, etc.
Q: What kind of hardware and software environment does Landing AI need?
A: Landing AI is a cloud-based platform. Users only need to visit Landing AI's website through a browser to use all functions of Landing AI. Users do not need to install any software or configure any hardware. If users want to deploy models to edge devices or industrial cameras, they need to ensure that these devices can communicate with Landing AI and meet certain performance requirements.
Q: How does Landing AI ensure the security and privacy of data and models?
A: Landing AI attaches great importance to the security and privacy of data and models, and has taken various measures to protect user data and models from being leaked or abused. For example, Landing AI uses encryption technology to transmit and store user data and models, uses authentication and permission control to restrict access to user data and models, uses audit logs to record operations on user data and models, and Compliance checks are used to comply with relevant laws and regulations.
【Official website】