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LandingAI

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LandingLens offers cloud-based computer vision for object detection, image classification, and facial recognition with strong data security.
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LandingAI

What is LandingAI?

LandingAI is a prominent computer vision platform and AI software company that specializes in creating and implementing computer vision AI projects. The company offers solutions through its cloud-based computer vision software platform called LandingLens, which provides accurate and powerful capabilities for tasks like object detection, image classification, and facial recognition. LandingAI emphasizes data privacy and security, ensuring that customer data is protected using industry-standard security protocols. The platform is designed to be accessible from anywhere, allowing users to manage their projects easily without the need for expensive hardware or complex setups. LandingAI's goal is to assist businesses in various industries such as manufacturing, retail, and healthcare to automate processes, enhance product quality, improve customer experiences, and more.

Who created LandingAI?

Landing AI was founded by Andrew Ng. He is a prominent figure in the AI field, known for his work at Google and Baidu. Landing AI focuses on providing AI solutions for businesses, with a mission to democratize AI and make it more accessible. The company offers expertise in AI implementation across various industries, aiming to simplify the integration of artificial intelligence technologies for organizations.

What is LandingAI used for?

  • Image classification
  • Facial recognition
  • Object Detection
  • Improve customer experiences
  • Automate processes in manufacturing
  • Enhance product quality in retail
  • Facilitate image classification
  • Enable object detection
  • Support facial recognition
  • Deploy models to cloud and edge devices
  • Automate kitting & inspection with imaging box
  • Build vision applications with large vision models
  • Gain insights from vision data using generative AI
  • Automate processes in healthcare
  • Enhance security measures
  • Create and implement computer vision AI projects
  • Unlock the full potential of AI in various industries
  • Building domain-specific Large Vision Models (LVMs) for accelerating model development and improving model performance
  • Gaining insights from vision data with Generative AI using domain-specific LVMs
  • Empowering vision applications with domain-specific LVMs trained on proprietary datasets
  • Enhancing accuracy in computer vision tasks with improved intelligence of LVMs
  • Seamless integration with cloud, edge, and Docker deployment options
  • Creating vision applications across various industries
  • Efficient image labeling for high-quality data and collaboration using Label Book
  • Training models with single-click options for enhanced performance
  • Accessing comprehensive reports to analyze model performance metrics and errors
  • Deploying models with just a few mouse clicks and integrating into existing environments
  • Build Vision Applications with Domain-Specific Large Vision Models (LVMs)
  • Gain Insights From Vision Data with Generative AI
  • Enhance accuracy in completing computer vision tasks through improved intelligence of your LVMs
  • Upload and Label Images efficiently with Labeling tools within LandingLens
  • Train models with single-click training options in LandingLens
  • Test and deploy models with just a few mouse clicks
  • Build computer vision applications in minutes using Visual Prompting
  • Need Help with Image Acquisition - LandingAI provides imaging box for kitting & inspection
  • Free Consultation With Computer Vision Specialist at LandingAI
  • Enhanced accuracy in completing computer vision tasks through improved intelligence of LVMs
  • Empower vision with Domain-Specific LVMs
  • Vision applications across all industries
  • Visual Prompting for building computer vision systems in minutes
  • Image acquisition through LandingAI's imaging box for kitting & inspection
  • Free consultation with computer vision specialist
  • Pre-assembled kits for camera, light, and cables

Who is LandingAI for?

  • Manufacturing
  • Retail
  • Healthcare

How to use LandingAI?

To use Landing AI effectively, follow these steps:

  1. Choose Your Plan: Landing AI offers Free, Visionary, and Enterprise plans tailored for individuals, small businesses, and enterprises.
  2. Understand Credits: Credits are used for training models and making predictions. A credit equals one image trained or inferred.
  3. Utilize Credits: Train projects, run predictions, and deploy models to cloud endpoints using your available credits.
  4. Manage Credit Usage: Be mindful of going over the allotted credits to avoid interruptions in training or inference processes.
  5. Deploy Models: Easily test and deploy your models to integrate them into various environments, including cloud and edge devices.
  6. Opt for Visionary or Enterprise Plans: These plans offer more features like additional active project downloads and support for commercial use.
  7. Explore Domain-Specific Large Vision Models (LVMs): Accelerate model development by building domain-specific models with proprietary images.
  8. Enhance Collaboration: Use labeling tools, Dataset Snapshots, and single-click training options for improved model performance.
  9. Monitor Model Performance: Access comprehensive reports to understand model metrics and optimize its capabilities.
  10. Get Started: Sign up for LandingLens to experience cloud-based, accurate, and powerful computer vision solutions.

By following these steps, you can efficiently leverage Landing AI's capabilities to build and deploy advanced computer vision projects tailored to your specific needs.

Pros
  • Powerful and accurate computer vision capabilities with object detection, image classification, facial recognition
  • State-of-the-art algorithms and machine learning models for high accuracy and reliability
  • Experienced team of experts for guidance
  • Always ready to assist users on their AI journey
  • Cloud-based nature for access from anywhere
  • State-of-the-art algorithms and machine learning models
  • Data privacy and security protocols in place
  • Versatility for different industries
  • Cloud-based platform for easy access and management of computer vision projects from anywhere
  • Industry-standard security protocols for data protection
Cons
  • Monthly credit limit in the free plan may restrict training or inference if exceeded.
  • Absence of insights into model performance visualization and monitoring tools.
  • Lack of information on the ease of use and user-friendly interface of LandingAi.
  • It is unclear if the tool provides explainability features for AI model interpretations.
  • No specific details on security measures to protect user data.
  • Comparatively high pricing structure for the Visionary plan ($50/month for 5,000 credits).

LandingAI FAQs

What can I spend my credits on?
Credits can be used for training models or making predictions. A credit is equal to 1 image trained or 1 image inferenced (used for prediction). For example, with a 1000 credit package you can: Train a project with 200 images. This will cost 200 credits and leave you with a remaining balance of 800 credits. Test 10 images using the Predict function by dragging and dropping images into the Predict window. This will cost 10 credits and the remaining balance will be 790. Deploy the model to a cloud endpoint and begin sending images to the API endpoint. Each image sent to the endpoint will cost 1 credit. For Custom Training, changes in the settings will impact the cost of each image trained and inferences.
What if I go over my allotted credits?
In the free plan, you will not be able to run a training or inference once you reach the 1000 credit limit. In the Visionary plan, you will be charged in arrears for any credits used over the monthly 5000 credits included in your $50/month subscription. Credits used beyond the 5000 credits will be charged at $0.01/credit.
Do credits rollover at the end of the billing cycle?
Credits do not rollover each month for the free plan or the Visionary plan.
What's the difference between commercial and noncommercial use?
“Noncommercial” means not primarily intended for or directed towards commercial advantage or monetary compensation.
What is an Active Project Download and how does it work?
Active Project Downloads – when purchased, a project in LandingLens allows a user to download models for use with LandingEdge, Docker (container-deploy) or alternative deployment options. As provided in an Order Form, an organization can be allocated a number of active projects eligible for download during the subscription period depending on their plan. “Project” is defined in LandingLens and shall mean the task of investigating a specific solution or use case resulting in a model. A Customer may fine-tune multiple versions of the model for that project. A user can then activate a project through LandingLens which will, in turn, unlock the feature that allows the user to download any models for an unlimited number of times in the active project in question during the subscription period.
Who are the leaders of LandingAI?
The leaders of LandingAI include Andrew Ng (CEO and Founder), Dan Maloney (COO), Daniel Bibireata (VP of Engineering), Kai Yang (VP of Product), Jennifer Chan (VP of Marketing & Growth), Ron Baumert (VP of Customer Success), Stephen Halligan (Director of Finance), and John Meyer (General Counsel).
What are LandingAI Principles (LAPs)?
LandingAI Principles (LAPs) are a codification of the organization's way of work. These principles guide decision-making in various aspects such as customer engagement, product development, hiring, talent management, business operations, and sales & support. The LAPs focus on principles like customer orientation, speed in decision making, accountability, trust-building, continuous learning, and problem-solving.
What is the culture like at LandingAI?
The culture at LandingAI is described as diverse, passionate, and dedicated to democratizing the power of AI. The team is inspired by the potential of AI to shape the future and operates in a fast-paced, collaborative environment that fosters continuous learning and innovative problem-solving.

Get started with LandingAI

LandingAI reviews

How would you rate LandingAI?
What’s your thought?
5.00
Nia Kumari
Nia Kumari January 27, 2025

What do you like most about using LandingAI?

I love the intuitive interface of LandingLens. It makes setting up object detection projects so straightforward. The drag-and-drop functionality is a lifesaver, especially for someone like me who isn't very tech-savvy.

What do you dislike most about using LandingAI?

The only downside is that sometimes the loading times can be a bit slow, especially when processing large datasets. It would be great if they could optimize that further.

What problems does LandingAI help you solve, and how does this benefit you?

LandingAI has automated our quality control processes in manufacturing. With the precision of image classification, we can detect defects faster, which has significantly reduced waste and increased our overall efficiency.

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Tariq Al-Mansoori
Tariq Al-Mansoori January 12, 2025

What do you like most about using LandingAI?

The facial recognition feature is remarkably accurate and has helped us enhance security in our retail outlets. It integrates seamlessly with our existing systems.

What do you dislike most about using LandingAI?

While the features are great, the pricing can feel a bit steep for smaller businesses. A tiered pricing model might be beneficial.

What problems does LandingAI help you solve, and how does this benefit you?

It allows us to track customer behavior and preferences through image analysis, which helps us tailor our marketing strategies effectively and improve customer engagement.

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Elena Kovalenko
Elena Kovalenko February 1, 2025

What do you like most about using LandingAI?

The data security measures are top-notch. Knowing that our customer data is protected gives us peace of mind, especially in the healthcare sector where privacy is paramount.

What do you dislike most about using LandingAI?

I find the documentation a bit lacking in detail. Some features could use more comprehensive guides for new users.

What problems does LandingAI help you solve, and how does this benefit you?

We have implemented image classification for patient records, which has streamlined our processes and reduced the time spent on administrative tasks.

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