Loading...
Native and cross-platform apps that ship fast inference, polished UX, and offline modes. We balance on-device models with cloud fallbacks so companions stay responsive on the go.
Comprehensive solutions tailored to your business requirements
React Native, Swift, and Kotlin apps with embedded AI features, on-device inference, and cloud fallbacks for optimal responsiveness.
Package, optimize, and deploy ML models on mobile with Core ML, TensorFlow Lite, or ONNX for offline-capable AI features.
Design AI-powered mobile experiences with loading states, streaming responses, and graceful degradation that feel native and polished.
Navigate Apple and Google AI disclosure requirements, content policies, and review guidelines to ensure smooth app approval.
AI features that work offline and in low-connectivity areas
Native performance with on-device model inference
Polished UX that feels intentional, not bolted-on
Compliant with App Store AI disclosure requirements
Privacy-first design keeping sensitive data on-device
Seamless cloud fallbacks when more compute is needed
Over-the-air model updates without app store resubmission
Yes. We package optimized models for on-device inference so core AI features work without connectivity. When online, the app can use cloud models for heavier tasks, with seamless switching the user doesn't notice.
We stay current with Apple and Google guidelines for AI-generated content disclosures, content moderation requirements, and data privacy rules. We build compliance into the app architecture from the start.
We work with React Native for cross-platform and Swift/Kotlin for native development. The choice depends on your team's expertise, performance requirements, and timeline. We recommend the best fit during discovery.
We combine deep technical expertise with a product-first mindset to deliver solutions that work in the real world.
Seasoned engineers across blockchain, AI & web
200+ projects delivered globally
From discovery to production & beyond
