At NewOrbit, we harness the power of AI to build intelligent, data-driven solutions that enhance efficiency, automate processes, and unlock new business opportunities. Our AI expertise spans from predictive analytics to generative AI, tailored to your needs.
Whether you're looking to integrate AI into your existing systems, develop custom AI applications, or explore the potential of machine learning, we provide the expertise to help you innovate responsibly and effectively.
We understand that every business is unique, and our expertise lies in understanding your specific challenges and opportunities. Our AI solutions are tailored to fit your industry and business context, whether you operate in finance, healthcare, logistics, or retail. By cutting through the noise, we ensure the solutions we recommend are relevant and meaningful for your organisation.
We use tried-and-tested AI models from trusted sources such as Microsoft and OpenAI, ensuring reliability and high-performance outcomes tailored to your business needs.
Our approach is always client-first. By analysing your unique business environment, we provide AI solutions that address your challenges and align with your goals, delivering measurable value.
We believe in empowering your team to take full advantage of AI. Through interactive workshops, hackathons, and collaborative sessions, we help your business explore the possibilities of AI while solving real-world challenges together.
As a Microsoft Solutions Partner, our strong relationship with Microsoft enables us to deliver solutions powered by their latest AI technologies, ensuring scalable, high-quality results that help your business thrive.
Curious about the impact of AI in real-life business scenarios? Visit our Case Studies section to explore examples of how we've successfully implemented AI solutions for clients across a variety of industries. Our case studies highlight the unique challenges faced, the AI technologies used, and the impact delivered.
A behind-the-scenes look at how we built two interactive apps for the Craft IT conference booth – and how I, a UX designer, ended up deep in React code with a little help from AI.
One of the biggest misconceptions in AI today is how well it can actually predict things – especially things that are rare. This is most directly applicable to Machine Learning (as they are just statistical models) but the same principle applies to LLMs. The fundamental problem is the same and AI is not magic. In reality, AI’s predictive power is more complicated. One of the key challenges? False positives—incorrect detections that can significantly undermine the value of AI-driven decision-making. Let’s explore why this happens and how businesses can better understand AI’s limitations.
A quick case study on how I went from a Figma presentation to a working Svelte page in less than an hour – with the help of AI and some clever tooling.
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