Native neural network framework for iOS and macOS with Metal-powered GPU acceleration
BrainCore is a high-performance neural network framework built natively in Swift, specifically engineered to leverage Apple's Metal API for GPU-accelerated machine learning on iOS and macOS platforms. The framework enables developers to build, train, and deploy sophisticated machine learning models directly on Apple devices with exceptional speed and efficiency. BrainCore eliminates the complexity of traditional ML frameworks by providing a Swift-native interface that integrates seamlessly with the Apple ecosystem. By harnessing Metal's low-level GPU access, BrainCore delivers performance comparable to desktop-class ML frameworks while maintaining the efficiency required for mobile and desktop applications. Through AiDOOS, organizations can accelerate deployment of ML-powered features across their iOS/macOS applications, optimize model performance through managed infrastructure, and scale neural network capabilities across enterprise deployments without external cloud dependencies.
Deploy object detection, image classification, and pose estimation directly on iOS devices without cloud connectivity. Perfect for augmented reality, security, and accessibility applications.
Implement text classification, sentiment analysis, and language understanding models locally on macOS and iOS for privacy-critical applications.
Embed machine learning predictive models into enterprise iOS applications for personalization, forecasting, and decision support without relying on backend services.
Create intelligent NPC behaviors, adaptive difficulty systems, and real-time game analytics using neural networks optimized for gaming performance.
Process sensor data and biometric information locally for health tracking, anomaly detection, and wellness insights with complete data privacy.
BrainCore pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Harness Apple's graphics API for blazing-fast computations
3-5x faster neural network inference compared to CPU-only frameworksDevelop ML features in pure Swift without external dependencies
Seamless integration with existing iOS/macOS codebasesRun models locally for privacy and latency-critical applications
Zero network latency, enhanced user privacy, offline capabilityDeploy everything from lightweight to complex neural architectures
Support for CNNs, RNNs, Transformers, and custom layer typesEfficient memory management for resource-constrained devices
Run large models on iPhone/iPad with minimal memory footprintComprehensive APIs and guides for rapid implementation
Reduce integration time from weeks to daysAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Native integration with Apple's development environment for seamless framework inclusion and debugging
Model conversion and interoperability with Apple's Core ML framework for broader ecosystem compatibility
Optimized integration for augmented reality applications requiring real-time neural network inference
Direct integration with Apple HealthKit for healthcare applications and biometric data processing
Seamless compatibility with Apple's Vision framework for advanced computer vision pipeline building
Optional cloud synchronization for model updates and distributed training coordination
Native support for SwiftUI-based interfaces with real-time ML model visualization and interaction
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists