SHAPE AI

Understanding current and potential employee performance requires meticulous analysis. Scaling this across a business with thousands of employees requires carefully trained algorithms. The SHAPE team uses advanced mathematical models and cloud tools with continuous monitoring to learn, refine, learn and refine again.

Think about who works for who in large, complex organisations. To create an accurate organisational structure, we utilise the power of reinforcement learning, especially useful in helping fill the gaps when everyone cannot complete the survey. While we always depict reality, we’re busy learning the relational patterns where gaps occur to strengthen our already complex models.

To a system, each employee is simply a node. Some nodes cluster, others are isolated. Scaling to multi-thousands of nodes benefits from simulated relationships to maintain rationality as a coherently connected end-to-end structure. Using a combination of clever mathematical solutions, together with neural mapping, we’re busy simulating the shape of different networks to find the many patterns that exist and perform the best.

Accuracy is an obsession we continually strive for. Imagine knowing the future. Prediction is a super power, especially when it’s accurate. Finding patterns in data that transcend what statistical techniques might miss is an artful science. Additionally, applying the knowledge of people science, we identify powerful insights and recommendations that allow us to forecast more and more accurately.