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LLMs
Voice
Vision
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 abstract away complexity of AI
We provide pre-built models & tools
We prioritize functionality over technical details
On-device AI vs Cloud-based AI
For specific tasks smaller fine-tuned on-device models often yield the best accuracy-efficiency balance
On-device AI is perfect fit for
JSON generation
Classification
Summarization
Why On-Device?
You can build better, cheaper, faster AI products
Significantly lower costs across the AI lifecycle
From training to deployment and real-time fine-tuning makes AI more cost-effective.
Elimination of connectivity dependencies
On-device processing ensures consistent performance regardless of network conditions.
Independent operation & complete control
Your AI capabilities remain available and secure, free from external dependencies or vulnerabilities
Be among the first to get an early access for Mirai on-device iOS SDK
with Cloud-Based AI
Cloud-dependent AI drove up expenses for scaling and operations.
Developers faced challenges in deploying AI, with no streamlined tools for on-device models.
Sensitive user data must be sent to external servers, raising compliance concerns.
Reliance on constant connectivity made AI inaccessible offline.
with On-Device AI
Deploy and work with AI inside your iOS apps in just a few clicks.
Data never leaves the device, ensuring GDPR, HIPAA, and enterprise compliance.
Easy integration, seamless scaling, and cost-effective AI deployment.
Best fit for:
Productivity, Education, E-commerce, Fitness & other apps
Enterprise Solutions
Secure data processing, support, and robust compliance with industry standards.
Best fit for:
Healthcare, Finance, Legal & other enterprises
AI-driven dialogs, NPC behavior, and real-time personalization.
Best fit for:
Gaming, Creative / Entertainment & other areas
Be among the first to get an early access for Mirai on-device iOS SDK