Swift Consulting

  • Develop in One Language, Deliver in 100+: Cazton empowers businesses by allowing you to build your enterprise application in a single language, and effortlessly deploy it in over 100 languages with lifelike Voice AI. Your global customer base will experience personalized, human-like conversations no matter where they are.
  • Swift: A fast, safe, and modern programming language designed for building high-performance applications across Apple's ecosystem.
  • Performance Enhancements: Swift introduces borrow checking for better memory management, optimizations in the Swift compiler for faster execution, and runtime improvements that reduce app load times and enhance efficiency.
  • SwiftUI Updates: New layout system, improved animation performance, and real-time UI previews in Xcode enhance the development experience for building rich, interactive applications across Apple platforms.
  • Swift in Enterprise: With Embedded Swift for IoT (smart devices and connected systems), better support for large-scale applications, and improved tools for managing dependencies, Swift is more versatile than ever.
  • Team of Experts: Cazton's team includes industry-leading Swift specialists, and mobile architects. Our experts have extensive experience optimizing Swift applications for Fortune 500 companies.
  • Top Clients: At Cazton, we help Fortune 500, large, mid-size, and startup companies with Swift development, consulting, recruiting, and hands-on training. Our clients include Microsoft, Broadcom, Thomson Reuters, Bank of America, Macquarie, Dell, and more.

Swift is a powerful, modern programming language at the heart of Apple's ecosystem, driving innovation across iOS, macOS, watchOS, tvOS, server-side, and embedded systems. With each update, Apple continues to refine Swift's performance, safety, and concurrency, making it a top choice for developers building high-performance, scalable applications. Swift 6, released in September, 2024, introduces major improvements in speed, concurrency, and enterprise capabilities.

With its modern syntax, strong type safety, and seamless compatibility with Objective-C, C, and C++, Swift has become a preferred language for enterprise applications. Fortune 500 companies are increasingly adopting it for mobile, cloud, and embedded solutions. Swift is also advancing in AI, with Apple investing in Core ML and Swift for TensorFlow, enabling optimized machine learning applications on Apple hardware. This article explores Swift's latest innovations, including new language features, performance upgrades, concurrency improvements, SwiftUI enhancements, and key enterprise benefits.

 

AI Genius: iOS Application with Voice AI

Note: The video shows a voice AI application that can translate to 100+ languages in real time. We help enterprise customers and startups with fully customized AI applications that work on their own data.

 

What's New in Swift?

Swift brings major advancements in performance, safety, and concurrency, making it the most powerful and efficient version yet. With enhanced memory management, improved concurrency models, and expanded platform support, Swift enables developers to build faster, safer, and more scalable applications across iOS, macOS, watchOS, tvOS, server-side, and embedded systems. Here's a look at the key improvements in this release.

  • Data-Race Safety: Swift now provides stronger guarantees against data races by preventing concurrent access to shared data that could lead to unpredictable behavior. The compiler enforces strict safety checks, allowing developers to write multi-threaded applications with confidence, free from race conditions. This results in significantly fewer runtime crashes and reduces debugging overhead, making concurrent programming in Swift safer and more reliable.
  • Enhanced Concurrency Model: Swift's concurrency model has been optimized for better efficiency and reliability. Async and await now offer improved scheduling, while structured concurrency ensures tasks run predictably. Actors reinforce data isolation, reducing synchronization complexity and preventing unintended data sharing. Task cancellation is more efficient, minimizing unnecessary computations, and automatic data-race prevention at the compiler level detects and eliminates race conditions before runtime, significantly reducing debugging overhead.
  • New Synchronization Library: A new synchronization library introduces fine-grained concurrency control mechanisms, including atomic operations for safe, low-level memory updates without race conditions. Additionally, new mutex APIs provide robust thread synchronization, ensuring that shared resources are accessed in a controlled and efficient manner.
  • Embedded Swift: Swift now includes a specialized subset designed for resource-constrained environments such as IoT devices, robotics, and embedded systems. This optimized version reduces memory footprint and execution overhead while maintaining Swift's core safety features and modern syntax, making it well-suited for performance-critical embedded applications.
  • Low-Level Programming Enhancements: Swift improves memory management with borrow checking, enabling more efficient resource handling while minimizing unnecessary copies. Developers now have greater control over system resources and hardware interactions, making Swift a more viable option for low-level programming. Additionally, typed throws allow functions to specify exact error types, improving error handling and predictability in complex applications.
  • Improved Interoperability with C++: Swift's compatibility with C++ has been expanded, enabling seamless integration with C++ libraries and allowing developers to reuse existing codebases. This enhancement broadens Swift's applicability in high-performance computing, game development, and real-time applications. Additionally, support for move-only C++ types allows Swift to interact with modern C++ memory models, making cross-language development more efficient.
  • Swift Testing: The New Built-in Testing Framework: Swift introduces Swift Testing, a macro-driven testing framework built directly into the toolchain. This modern testing solution supports parameterized tests, improved error reporting, and eliminates the need for third-party dependencies, simplifying test-driven development in Swift projects.
  • Expanded Platform Support: Swift now offers a static SDK for Linux, enabling fully statically linked Swift executables for improved portability and deployment. Windows ARM64 optimizations enhance compilation performance on Windows ARM devices, while official support for Fedora and Debian expands Swift's presence across Linux distributions.

Enterprise and Embedded Support

Swift continues to expand its reach into enterprise and embedded systems, making it a more viable choice for large-scale applications and resource-constrained environments. Embedded Swift introduces an optimized subset of the language designed for IoT devices, robotics, and embedded systems, reducing memory footprint and execution overhead while maintaining Swift's modern syntax and safety guarantees.

Improved C++ interoperability allows seamless integration with existing C++ codebases, enabling Swift to be used in high-performance computing, real-time applications, and systems requiring low-level memory control. These improvements make Swift an attractive option for enterprise software solutions that rely on legacy C++ libraries while taking advantage of Swift's modern features.

Swift Package Manager (SPM) has been enhanced to better support enterprise-scale applications with faster dependency resolution, binary framework support, and improved multi-platform compatibility. These updates enable large teams to manage dependencies more efficiently, distribute precompiled Swift code, and streamline development across iOS, macOS, and Linux environments. By improving package management at scale, Swift strengthens its position as a robust choice for backend, cloud-based, and enterprise applications.

 

Cazton - Voice AI

Video: Human like Voice AI conversations is the future of work and life. From finance and healthcare to retail and construction, Voice AI is already making waves across industries. Discover how you can interact naturally with AI to perform tasks like managing finances, getting real-time updates, or even creating personalized shopping experiences. This is more than a demo - it's a glimpse into a world where technology works with you, not just for you.

 

Swift and AI

Swift provides a powerful foundation for integrating AI-driven capabilities into modern applications, enabling developers to build intelligent and responsive experiences across iOS, macOS, watchOS, and beyond. With seamless support for Apple's Core ML and Vision frameworks, Swift simplifies the deployment of machine learning models for tasks such as image recognition, natural language processing, and real-time predictions. The tight integration with Metal Performance Shaders and Apple Neural Engine ensures optimized AI execution directly on Apple devices, delivering high performance while maintaining user privacy.

By leveraging Core ML, Create ML, and Swift's interoperability with Python-based AI frameworks like TensorFlow Lite, developers can seamlessly integrate AI-powered features, including real-time speech recognition, personalized recommendations, and computer vision applications.

What's New in Swift for AI?

  • Enhanced Vision & NLP Frameworks: Improved sentiment analysis, object detection, and real-time video AI processing.
  • Optimized Apple Silicon Execution: Faster inference using Apple Neural Engine (ANE) and Metal Performance Shaders (MPS).
  • On-Device Machine Learning: Support for federated learning, enabling AI training without sending user data to the cloud.
  • Expanded Swift-Python AI Interoperability: Better integration with TensorFlow, PyTorch, and NumPy.
  • AI Model Validation with Swift Testing: Automate AI model accuracy checks with Swift's built-in Swift Testing framework.

Swift's strong memory management and efficient execution make it an ideal choice for enterprises looking to incorporate AI capabilities at scale, while ensuring fast, secure, and private on-device processing.

Swift Performance Enhancements

Swift brings significant optimizations that improve execution speed, memory efficiency, and runtime performance. With faster compile times, improved memory management through borrow checking, and enhanced runtime optimizations, Swift enables developers to build high-performance applications with reduced overhead and smaller binary sizes. These improvements benefit SwiftUI applications, animations, AI workloads, and embedded systems, making Swift the most efficient and scalable version yet.

  • Optimized Compilation with Swift Compiler: Swift's compiler has been further optimized to improve compile times and enhance developer productivity. By leveraging advancements in LLVM, the compiler generates highly efficient machine code, resulting in faster execution and reduced resource consumption. Explicit module builds reduce debugger startup time by preventing unnecessary Clang module recompilation, leading to a smoother development experience.
  • Improved Memory Management: Swift introduces borrow checking, an advanced memory management technique that eliminates unnecessary memory allocations, reducing overhead in performance-critical applications. The expanded ownership model now supports non-copyable types (~Copyable) in generics, improving memory efficiency and reducing unnecessary object copies, which is especially beneficial for low-level and high-performance computing tasks.
  • Enhanced Runtime Optimizations: The Swift runtime has been fine-tuned for better execution speed across various workloads, including SwiftUI applications, animations, and machine learning tasks. Frequently used operations are now executed more efficiently, reducing runtime overhead. A new @DebugDescription macro allows developers to define custom LLDB summaries, making debugging faster and more insightful.
  • Smaller Binary Sizes for Faster App Load Times: Swift now produces smaller binary sizes, leading to improved app startup times across Apple devices. This optimization is particularly beneficial for lightweight applications running on embedded and IoT systems, where storage and memory are limited. Additionally, support for 128-bit integers (Int128, UInt128) expands Swift's capabilities in cryptography, scientific computing, and high-precision calculations, enabling developers to tackle more complex numerical computations.

SwiftUI 6: The Next Generation UI Framework

SwiftUI continues to revolutionize UI development with its declarative, code-first approach. The latest updates in SwiftUI introduce performance improvements, better layout flexibility, and enhanced developer experience, making it easier to build responsive and visually rich applications across Apple's ecosystem.

  • Enhanced Animations and Transitions: SwiftUI delivers faster and smoother animations, significantly improving user experience by making UI interactions feel more natural and responsive. Rendering efficiency has been optimized, ensuring complex transitions and animations perform seamlessly even in high-demand applications.
  • New Layout System for Complex UIs: The updated layout system provides greater control over UI components with improved stack and grid-based layouts. These enhancements allow developers to create more complex user interfaces while maintaining clarity and maintainability. Dynamic adjustments ensure that UI elements adapt more effectively to different screen sizes, improving responsiveness across iPhones, iPads, and Macs.
  • Improved Xcode Previews and Live Debugging: Developers can now take advantage of real-time UI updates in Xcode, allowing for faster iteration and more efficient debugging. Changes to the UI can be previewed instantly without needing to rebuild the entire project, streamlining the development workflow and reducing turnaround time.
  • Cross-Platform UI Optimization: SwiftUI enhances compatibility across iOS, macOS, watchOS, and tvOS, ensuring a consistent user experience regardless of the target platform. Platform-specific optimizations refine UI behaviors and interactions, making applications feel native and optimized on each Apple device.
 

AI Phone Calls That Sound Human

Video: In this video, a potential customer has a phone conversation with a human-sounding AI from Cazton, a company specializing in cutting-edge AI solutions. The conversation covers a variety of AI services, from video and image analysis to conversational AI, and highlights the company’s unique approach to successful AI projects. The demo is created using Twilio API and Open AI Gpt4 Reatime API.

 

How can Cazton help you with Swift Consulting?

Cazton has a proven track record of helping enterprises maximize efficiency, innovation, and cost-effectiveness with Swift. Our experts have worked with some of the largest global companies, including Microsoft, Bank of America, Dell, Broadcom, and Thomson Reuters, delivering scalable, high-impact solutions. We help enterprises leverage Swift to build high-performance, scalable, and future-proof applications. Our team of Swift developers, consultants and architects bring hands-on experience optimizing Swift applications for Fortune 500 companies. Whether you're migrating from Objective-C, building new AI-powered applications, or optimizing performance, we provide end-to-end consulting and development services tailored to your business needs.

Here are some key services we offer:

  • Swift Migration: Upgrade existing Objective-C and Swift applications to Swift for better performance, security, and maintainability.
  • Enterprise-Grade App Development: Build scalable iOS, macOS, watchOS, and tvOS applications optimized for high performance and reliability.
  • Performance Optimization: Improve memory management, app startup times, and Swift compiler efficiency for better speed and reduced overhead.
  • SwiftUI and UIKit Expertise: Develop rich, interactive user experiences using SwiftUI 6 and UIKit for modern applications.
  • Cloud and Backend Integration: Deploy Swift applications using server-side Swift on AWS, Azure, and Google Cloud for scalable backend solutions.
  • Swift for Embedded Systems: Leverage Embedded Swift to develop software for IoT, robotics, and other resource-constrained devices.
  • CI/CD Pipelines and Automation: Automate Swift builds, testing, and deployments using Xcode Cloud and GitHub Actions for faster delivery cycles.
  • Expert-Led Development: Partner with industry-leading Swift specialists with hands-on experience in building high-performance applications.
  • Enterprise-Focused Solutions: We specialize in building robust, scalable, and future-proof applications that align with business goals.
  • Performance and Cost Optimization: We reduce app load times, optimize memory usage, and lower cloud costs to improve ROI.
  • Hands-On Training and Consulting: Our Swift mentors empower teams with best practices, code reviews, and training to ensure long-term success.

Our hands-on approach ensures that we do the heavy lifting, taking responsibility for delivery and implementation. We're on the hook for your success - whether it's migrating legacy systems, building high-performance solutions, or optimizing cloud-native applications. With a proven track record of delivering complex projects within tight deadlines, we are here to make your vision a reality.

When you work with Cazton, you're choosing a team that doesn't just consult but collaborates, builds, and delivers solutions designed for your success. Our clients trust us to consistently deliver complex projects within tight deadlines. We have not only saved them millions of dollars but also demonstrated time and again our ability to exceed expectations, providing innovative solutions and unparalleled value. Let us help you turn your challenges into opportunities and your vision into results. Reach out today, and let's make it happen together!