Best AI Development Apps for iPhone of 2025

OORT is a complete AI ecosystem that covers all the essential pillars of AI development: data collection, data labels, storage, and computation. Our platform ensures AI is trained on high-quality datasets, ethically sourced and recorded on-chain to ensure transparency and reliability. Developers have everything they need for building, training, and deploying AI models efficiently. OORT reduces friction by integrating data integrity and security into a seamless workflow. This allows for faster innovation using trusted data and infrastructure.

Mistral AI is an advanced artificial intelligence company focused on open-source generative AI solutions. Offering adaptable, enterprise-level AI tools, the company enables deployment across cloud, on-premises, edge, and device-based environments. Key offerings include "Le Chat," a multilingual AI assistant designed for enhanced efficiency in both professional and personal settings, and "La Plateforme," a development platform for building and integrating AI-powered applications. With a strong emphasis on transparency and innovation, Mistral AI continues to drive progress in open-source AI and contribute to shaping AI policy.

With minimal setup, developers can integrate advanced AI features, such as chatbots and text generation, into.NET projects. The toolkit provides functionality for a variety of tasks, such as natural language processing, structured data extraction, and translation. It is designed for speed and security and supports on-device AI using hybrid CPU/GPU acceleration. This approach ensures rapid processing of complex models locally while maintaining data privacy. Regular updates offer the flexibility and control required to build high-performance AI applications. Its flexible capabilities simplify development and allow efficient integration of sophisticated AI functions.

Runlve is at the forefront of the AI revolution. We provide data science, MLOps and data & models management to empower our community and customers with AI capabilities that will propel their projects forward.

TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.

FieldDay lets you explore the world of AI, Machine Learning and AI right on your smartphone. We've simplified the process of creating machine learning models by turning it into a hands-on, engaging experience that's as easy as using your camera. FieldDay lets you create custom AI apps, and embed them into your favorite tools using only your phone. You can use FieldDay examples as a learning tool and create a custom model that is ready to embed in your app/project. FieldDay machine-learning models are used in a variety of projects and applications. Our range of export and integration options makes it easy to embed a machine learning model into any platform. FieldDay allows you to collect data from your phone camera. Our interface is designed to allow for intuitive and easy annotation during collection. You can create a custom dataset quickly. FieldDay allows you to preview and correct models in real-time.