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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Mirai is an advanced platform tailored for developers that focuses on on-device AI infrastructure, enabling the conversion, optimization, and execution of machine learning models directly on Apple devices with a strong emphasis on performance and user privacy. This platform offers a cohesive workflow that allows teams to efficiently convert and quantize models, assess their performance, distribute them, and conduct local inference seamlessly. Specifically designed for Apple Silicon, Mirai strives to achieve near-zero latency and zero inference cost, while ensuring that sensitive data processing remains securely on the user's device. Through its comprehensive SDK and inference engine, developers can swiftly integrate AI functionalities into their applications, leveraging hardware-aware optimizations to maximize the capabilities of the GPU and Neural Engine. Additionally, Mirai features dynamic routing abilities that intelligently determine the best execution path for requests, whether that be locally on the device or utilizing cloud resources, taking into account factors such as latency, privacy, and workload demands. This flexibility not only enhances the user experience but also allows developers to create more responsive and efficient applications tailored to their users' needs.

Description

PromptUnit serves as an AI inference intermediary that automatically minimizes AI expenses by acting as a bridge between an application and its AI service providers, requiring no modifications to existing code. Teams simply replace the base URL while maintaining the same SDK, endpoints, response parsing, and error management, allowing PromptUnit to take care of routing, failover, cost monitoring, and quality assessment. It meticulously logs every API interaction, detailing aspects such as model, feature, user segment, token count, latency, and cost, thereby providing immediate insights into AI expenditures before any routing adjustments are implemented. In its observation mode, PromptUnit meticulously monitors traffic, shadow-classifies incoming requests, predicts potential savings, and clarifies routing choices, enabling teams to visualize exact savings prior to activating live routing. After activation, Smart Routing intelligently classifies tasks to direct each request to the most cost-effective model that meets the established quality standards. Additionally, PromptUnit incorporates features like prompt compression, token inflation protection, efficiency scoring for prompts, semantic request caching, and multi-model consensus for enhanced performance. Its comprehensive approach ensures that organizations can optimize their AI usage and manage budgets effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Anthropic
Claude
DeepSeek
DeepSeek R1
GPT-4
Gemini
Gemma 3
Gemma 4
Go
Groq
LFM-3B
Llama
Node.js
OpenAI
Polaris
Python
Qwen3
Ruby
SmolLM2
gpt-oss-120b

Integrations

Anthropic
Claude
DeepSeek
DeepSeek R1
GPT-4
Gemini
Gemma 3
Gemma 4
Go
Groq
LFM-3B
Llama
Node.js
OpenAI
Polaris
Python
Qwen3
Ruby
SmolLM2
gpt-oss-120b

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mirai

Founded

2024

Country

United States

Website

trymirai.com

Vendor Details

Company Name

PromptUnit

Country

United States

Website

www.promptunit.ai/

Product Features

Product Features

Alternatives

Alternatives

No Alternatives