Blog

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 workforce 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.

AI-powered visual inspection is transforming quality control. From detecting microscopic defects to cutting costs and boosting throughput, discover how manufacturers across industries are using machine vision to achieve precision at scale.

Even a 1% defect rate can disrupt schedules and inflate costs. This guide reveals five proven, data-driven quality control methods plant managers can deploy to cut defects, boost efficiency, and regain control, without overhauling their entire operation.