Mirai
Mirai is an AI integration platform enabling developers to easily add AI capabilities to their applications with pre-built integrations and a user-friendly interface.
AI Integration API Integration Machine Learning Integration Natural Language Processing Integration Computer Vision IntegrationTool Information
Primary Task | AI integration |
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Category | technology-and-development |
API Available | Yes |
Pricing | Free + from $0.10/mo |
Country | United States |
Mirai is an AI integration platform designed to simplify the process of adding artificial intelligence functionalities to applications. It offers a collection of pre-built AI integrations, eliminating the need for developers to build these features from scratch. This significantly reduces development time and resources. The platform boasts a user-friendly interface, making it accessible to developers of varying skill levels. Mirai's core functionality revolves around connecting various AI models and services to applications through a straightforward process. Developers can choose from a range of AI capabilities, including natural language processing (NLP), computer vision, and machine learning (ML) models, and integrate them seamlessly into their projects. Use cases span diverse industries, from automating customer service through chatbots to enhancing image recognition in healthcare applications. The target audience includes software developers, product managers, and anyone looking to leverage AI without extensive AI expertise. Mirai's unique selling proposition lies in its ease of use and comprehensive library of pre-built integrations, allowing rapid prototyping and deployment of AI-powered features. The platform's architecture likely involves APIs and SDKs to facilitate seamless integration with various programming languages and frameworks. Mirai aims to democratize access to AI by lowering the barrier to entry for developers, enabling them to focus on building innovative applications rather than wrestling with complex AI infrastructure.
On-device SDK (developer suite) for running highly optimized inference, fine-tuning, and operating LLMs and other deep learning models on the device.
We aim to make it easy for developers to choose and route the query to the right model and deploy it to the device in a couple of clicks.
Mirai is addressing a significant gap in on-device AI inference and training. Current cloud-based models face high latency, privacy concerns, and reliance on constant connectivity. Developers also struggle with high costs for personalization (e.g., $100M per year for 1M MAU) which is the most crucial pain point now and a core of our GTM.
There's no existing developer-friendly solution for on-device mobile AI, fine-tuning, and management.
Our vision involves expanding from a robust SDK to include a developer console for model management, benchmarks, and fine-tuning.
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Frequently Asked Questions
1. What is Mirai?
Mirai is an AI integration platform that simplifies adding AI capabilities to applications. It provides pre-built integrations and a user-friendly interface, reducing development time and resources for developers of all skill levels.
2. What types of AI integrations does Mirai support?
Mirai supports AI Integration, API Integration, Machine Learning Integration, Natural Language Processing Integration, and Computer Vision Integration. This allows developers to incorporate a wide range of AI functionalities into their applications.
3. Who is the target audience for Mirai?
Mirai targets software developers, product managers, and anyone wanting to use AI in their applications without needing extensive AI expertise. Its ease of use makes it accessible to a broad range of users.
4. What are the main advantages of using Mirai?
Mirai offers simplified AI integration, pre-built integrations to save development time, and a user-friendly interface for easier access and use. This allows for rapid prototyping and deployment of AI-powered features.
5. How does Mirai help reduce development time?
Mirai's pre-built integrations eliminate the need for developers to build AI features from scratch. The user-friendly interface further streamlines the integration process, significantly reducing development time and resources.
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