Apps 2022-10-17
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Passio

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Developed mobile apps for specialized sectors.
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Passio AI is a Visual AI-as-a-Service platform for enterprise businesses that provides easy-to-use SDKs to reach millions of users who use Passio every day to enhance their health, fitness, homes, and businesses with Artificial Intelligence.

The Mobile AI platform offers end-to-end development of AI-powered applications enabling businesses to add computer vision and AI-powered experiences to their apps.

The platform also offers modules for vertical-specific computer vision, such as Nutrition AI and Paints AI, allowing businesses to transform their applications with real-time on-device computer vision and AI-driven user experiences.

Passio AI's Mobile AI Platform is designed to be customizable to meet the needs of individual businesses and their customers. The platform's EDGE-AI technology enables companies to add vertical-specific computer vision and build AI-driven sales and UX experiences.

Passio AI's SDKs are available for iOS and Android, and the taxonomy feature allows businesses to define the classes they wish to recognize and structure their data taxonomy.

The platform also has a fully integrated mobile data collection app that collects and curates image data, trains AI models, and evaluates the AI's performance.Passio AI's clients include Jazeera Paints, Simple Life, and MyFitnessPal.

Overall, Passio AI offers a comprehensive suite of tools for businesses to enhance their applications with AI-driven experiences, tailored for their specific needs.

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Passio was manually vetted by our editorial team and was first featured on May 18th 2023.
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Pros and Cons

Pros

Customizable SDKs
Compatible with iOS and Android
Integrated mobile data collection
Tailored vertical-specific vision modules
User-defined data taxonomy
Supports data annotation
Complete end-to-end development
Module for Mindseye
Accommodates brand-specific user interfaces
Easy deployment on mobile
Intuitive data collection app
SDK packaging after training
Modular design for UX customization
In-App testing of trained models

Cons

Limited to mobile platforms
Specific industry focused modules
Might need specific technical knowledge
No clear pricing information
Dependent on user-collected data
Lack of tool integration
Limited customization options
App-dependent performance evaluation
SDK testing required

Q&A

What is the Passio AI platform?
How does Passio AI enhance my mobile app for my business?
What is the EDGE-AI technology in Passio AI?
Can Passio AI be tailored to specific business needs?
What is the function of the taxonomy feature in Passio AI?
What are the specialized sectors that Passio AI's apps are developed for?
What is the Passio AI SDK and how can it be used?
How does the Nutrition AI and Paints AI modules in Passio AI work?
How can my business use Passio's AI-driven user experiences?
How can Passio AI assist in enhancing my fitness or health app?
What platforms are the Passio AI SDKs available on?
How does the mobile data collection app in Passio AI work?
Can the AI models in Passio AI be trained and evaluated?
Can Passio AI assist in structuring the data in my app?
What are the case studies of Passio AI's success in the industry?
How does the Passio AI platform help in the end-to-end development of AI-powered applications?
How is data curated in Passio AI?
How is the process of annotation carried out in Passio AI?
What is the process to package the SDK after training in Passio AI?
How customizable is the UI with the use of Passio AI modules?

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