Mirai

Mirai is an on-device AI platform engineered for developers who need intelligent features without the infrastructure overhead. By deploying AI models directly within applications, Mirai eliminates data transmission to external servers, ensuring sensitive information stays on users' devices. This approach delivers zero-latency responses while cutting inference costs to zero, making AI integration economically viable for businesses of all sizes. The platform's strength lies in rapid deployment. Integration takes minutes rather than days, removing barriers that typically require dedicated machine learning teams or extensive setup periods. Mirai handles inference, routing, and optimization transparently, allowing developers to focus on building features rather than managing AI infrastructure. Its optimized SDK performs exceptionally well on Apple platforms, delivering the speed modern applications demand. Mirai comes equipped with production-ready models supporting conversational AI, text classification, summarization, and custom use cases. The intelligent routing engine gives teams precise control over performance, privacy, and cost trade-offs, enabling fine-tuned deployment strategies. Since processing happens locally, network conditions become irrelevant—applications maintain consistent performance whether users have perfect connectivity or intermittent access. Data sovereignty is built into Mirai's core design. Organizations retain complete control over model data and processing pipelines, with no data shared with third parties. This architecture appeals to privacy-conscious businesses, regulated industries, and teams handling confidential information. Combined with minimal setup requirements, Mirai empowers developers to add intelligent capabilities without becoming machine learning experts.