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Choosing the right data annotation service provider can make or break your AI project. This guide covers what data annotation is, why it matters, what to look for in a provider, and how leading companies compare.

Discover how AI in manufacturing reduces idle time, delivers real-time insights, and optimises workflows to boost efficiency and productivity across the factory floor.

Discover how AI in manufacturing reduces idle time, delivers real-time insights, and optimises workflows to boost efficiency and productivity across the factory floor.

Most factories already have CCTV, but with AI, those cameras can deliver real ROI. From reducing idle time to preventing ghost employees and ensuring quality, here’s how manufacturers can unlock productivity, safety, and compliance with Industry 4.0 solutions.

Manufacturers struggle to enforce SOPs consistently across plants, with human errors and manual audits often leading to quality and safety issues. This blog explores how AI-powered systems like Computer Vision and real-time dashboards transform SOP compliance into automated enforcement, reducing defects and boosting efficiency.

As AI code assistants reshape software development, “vibe coding” is on the rise. But behind the scenes, it’s expert feedback and human-in-the-loop systems that power real progress. Learn about our work training next-gen coding AIs and explore where automation still needs oversight.

From chatbots to co-pilots, conversational AI has evolved fast, but it still relies heavily on human input. This blog breaks down the roles of Human-in-the-Loop (HITL), Reinforcement Learning from Human Feedback (RLHF), and high-quality data in training AI that’s not just smart, but safe and aligned with human intent.

Inefficiency is expensive and often invisible. In this post we explore how Computer Vision AI is helping businesses monitor factory performance in real time, detect underutilization, and unlock 5-10% productivity gains. Discover how industries like manufacturing and logistics are using data-driven visibility to do more with less, ethically and at scale.

Automated evaluation is fast, but flawed. This blog unpacks why high-quality, human-curated benchmark datasets are essential for trustworthy AI, from capturing edge cases to ensuring domain relevance and real-world accuracy.

Off-the-shelf AI isn’t enough. Find out how fine-tuning large language models with Reinforcement Learning from Human Feedback (RLHF) is helping enterprises create AI systems that align with their goals, speak their industry language, and deliver reliable, real-world impact.