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Blazing-Fast AI, fully on-device

Deploy high-performance AI directly in your app — with zero latency, full data privacy, and no inference costs

Deploy high-performance AI directly in your app — with zero latency, full data privacy, and no inference costs.

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Backed by

Scout
Fund

Thomas Wolf
Co-founder

Laura Modiano
Startups EMEA

Siqi Chen
CEO

Mati Staniszewski
Co-founder, CEO

Scout Fund

Thomas Wolf,
Co-founder

Siqi Chen,
CEO

Mati Staniszewski
Co-founder, CEO

Laura Modiano
Startups, EMEA

Turn voice into actions or text

Backed by

Scout
Fund

Thomas Wolf
Co-founder

Laura Modiano
Startups EMEA

Siqi Chen
CEO

Mati Staniszewski
Co-founder, CEO

Why On-Device?

Build better, cheaper, faster AI products

Dramatic latency improvements transform business outcomes

Local auction systems have changed advertising revenue for publishers and SSPs like Facebook, delivering up to 2x revenue increase and generating over $5B within a year. The reduction in ad delivery latency from 800ms to 200ms has made rewarding video monetization a practical reality.

Significantly lower costs across the AI lifecycle.

From training to deployment and real-time fine-tuning. The power of on-the-fly model adaptation, making AI more accessible and cost-effective.

Elimination of connectivity dependencies.

On-device processing ensures consistent performance regardless of network conditions.

Independent operation & complete control.

Ensures your AI capabilities remain available and secure, free from external dependencies or vulnerabilities.

Built for startups. Trusted by scale-ups. Loved by developers.

Mirai’s optimized SDK and ultra-efficient AI models give you everything you need to build fast, private, cloud-free AI experiences.

SMALL AI VS CLOUD_BASED AI

For specific tasks smaller fine-tuned models often yield the best accuracy-efficiency balance

JSON generation

Classification

Summarization

General-purpose chatbots or AI assistants might lean toward larger models for their broad knowledge.

How Mirai Works?

Mirai has an unique vertical stack where we combine inference engine, proprietary model & developer’s UX

We are building:

Saiko – a family of specific small models to save +40% in AI costs with on-device inference.

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The industry's fastest inference engine for iOS (SDK), achieving from up to 2x performance improvements.

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Our engine will support a comprehensive range of architectures including Llama, Gemma, Qwen, VLMs, and RL over LLMs, making advanced AI capabilities truly accessible on mobile devices especially when our model will take in place.

We are developing Mirai with developer-first approach.

We abstract away complexity of AI

We provide pre-built models & tools

We prioritize functionality over technical details

By combining advanced multimodal capabilities with on-device processing, we're creating more natural and intuitive ways for humans to interact with AI. This approach preserves privacy, reduces latency, and enables deeper integration into existing workflows, leading to meaningful improvements in both professional, business and personal contexts.

About us

Done by the team of exceptional professionals who share the vision for accessible, powerful AI.

We built and scaled Reface – a pioneer in Generative AI to over 300M users.

Pioneered and delivered real-time AI face swap tech at scale during hyper-growth there.

We built and scaled Prisma -
a pioneer in on-device AI photo enhancement to over 100M MAU.

We built and scaled Prisma - a pioneer in on-device AI photo enhancement to over 100M MAU.

Pioneered on-device AI photo enhancement and developed the world’s first convolutional neural network inference running entirely on the device.

AI which run directly on your devices, bringing powerful capabilities closer to where decisions are made.