
Overall Score
18
Top 50%
of AI companies
Convert, optimize, distribute & run your models with the fastest inference engine on Apple Silicon.
Mirai is an AI solution designed to offer high-performance on-device artificial intelligence. It allows users to deploy AI directly within their apps, ensuring full data privacy, zero latency, and no inference costs. What sets Mirai apart is its focus on immediate implementation, as this tool can be...

Overall Score
18
Top 50%
of AI companies
Overall Score
18
GitHub Stars
3
Monthly Visits
33K
Community Rating
3.0
Mirai is an AI solution designed to offer high-performance on-device artificial intelligence. It allows users to deploy AI directly within their apps, ensuring full data privacy, zero latency, and no inference costs. What sets Mirai apart is its focus on immediate implementation, as this tool can be...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
| Keyword | Volume / Mo | CPC |
|---|---|---|
| mirai ai | 1,140 | $4.34 |
| mirai | 57,520 | $0.22 |
| gemma 27b on mobile | 150 | — |
| qwen/qwen3-1.7b-mlx-4bit | 130 | — |
| mirai labs | 290 | — |
Mirai is an AI solution designed to offer high-performance on-device artificial intelligence. It allows users to deploy AI directly within their apps, ensuring full data privacy, zero latency, and no inference costs. What sets Mirai apart is its focus on immediate implementation, as this tool can be...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| mirai ai | 1,140 | $4.34 |
| mirai | 57,520 | $0.22 |
| gemma 27b on mobile | 150 | — |
| qwen/qwen3-1.7b-mlx-4bit | 130 | — |
| mirai labs | 290 | — |
32.2K
Rating
3.0
2 reviews
Views
1.1K
Category
AI integration
Pros · 22
Cons · 9
Rating distribution
Release history · 1+
Initial release of Mirai.
Q&A · 22
Mirai is a high-performance on-device artificial intelligence solution. It offers various functions such as the ability to deploy AI directly within apps, ensuring full data privacy and no inference costs. It provides a speedy integration process allowing users to quickly incorporate AI into their systems. The key functions of Mirai are handling inference, routing, and optimization. In addition, it comes equipped with ready to use models and tools that support various on-device use cases like conversational AI, text classification, summarization, and custom use case build-ons.
Mirai ensures data privacy by allowing all AI operations to take place directly on the user's device. It eliminates the need to send data to third parties or utilize cloud-based resources. This means all data involved in the AI process is maintained solely within the app where Mirai is deployed, giving users full control over storage and processing.
Zero latency in Mirai refers to the speed at which AI operations are conducted. Because operations are performed directly within the app and not reliant on external servers or cloud, there are no delays, making the data processing and AI operations instant.
Mirai significantly reduces inference costs through its design. The AI processes are conducted directly within the app on the user's device, eliminating the need for costly cloud servers for computational and storage needs. The efficient on-device operation thereby dramatically cuts the infrastructure and associated costs.
Mirai sets itself apart through its focus on immediate integration, high-performance on-device solutions, privacy control, and cost-effectiveness. It is remarkable for the speed of its inference SDK, especially on the Apple platform. It also offers a routing engine for performance control, allows on-device deployment for improved privacy, and possesses cost-effective AI models.
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Top 10 in Data & Infrastructure.
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