As applications become more sophisticated and user expectations rise, ensuring that your app’s design is visually appealing and functionally seamless cannot be overemphasized. After all, 59% of global consumers crave beautiful design over simplicity. ORIL offers comprehensive design audit services that goes deep into the nuances of user interface (UI) and user experience (UX) designs.

Behind every smooth home sale, there’s the MLS (Multiple Listing Service) quietly doing the heavy lifting. This system is the backbone of real estate, a vast network that keeps agents connected, properties visible, and listings accurate. It’s what makes it possible for buyers to see up-to-date options and sellers to reach the right market. Today, nearly 80% of real estate firms are integrating MLS into their digital workflows alongside tools like e-signatures and electronic contracts.

Dynamic real estate market requires businesses to act fast and effectively. Having software that can automate most of your business and management-related tasks is a wise choice. When it comes to deploying a real estate analytics platform, you need to decide between two approaches — custom software and ready-made solutions.

Figma is becoming the industry standard for digital design, despite being relatively new in the market. Within eight years from its launch, it has managed to win over 40 million active users across the globe. What’s driving Figma’s growth is its ability to make collaboration effortless, no matter where your team is.

Ukraine is a leading choice for IT outsourcing, thanks to its skilled talent and strong cultural alignment with Western clients. The country offers a deep pool of tech experts, a solid STEM (Science, Technology, Engineering, and Mathematics) foundation, and a thriving tech industry, making it a valuable option for businesses. When you work with Ukrainian firms, you get reliable software, smooth collaboration, and a shared drive for innovation.

Coding assistants are quickly becoming essential tools in the software development process. By 2028, it’s expected that 75% of enterprise software engineers will rely on AI-powered coding assistants, a huge jump from less than 10% in early 2023, according to Gartner. The reason for this sharp increase is clear — AI coding assistants can boost developer productivity by up to 45%. This helps streamline tasks like code generation, review, and documentation, compared to traditional methods.

Large Language Models (LLM) are changing the way developers and QA engineers solve problems. They allow for quicker code generation, debugging, and automated testing, reducing development time by up to 40%. This shift has prompted 67% of senior IT leaders to focus on generative AI, with 33% planning to make it a top priority within the next 18 months. However, while LLM models offer immense potential, understanding how to get the most out of them while maintaining quality is important.