Whether you want to rank your customers in terms of the probability of going default with their debt, the probability of leaving your company, or the probability of buying your new product, predictive models are the best tools to support your strategies.

Mindberg.ai team covers more than just the model development phase. We start by assessing your entire data flow, the variation and richness of your data, and your implementation environment to develop the most suitable modeling solution for your current state vs. your business target.

Our scoring service is entirely customizable depending on your needs, capability, and the target architecture. If preferred, we can host the scoring environment on our cloud and deliver it to you as a service. Alternatively, it can be developed and run on your premises or in a hybrid setup.

We build predictive models and optimization algorithms on open-source programming languages, mainly Python. This way, we remain platform-agnostic in our projects and create zero technology burden on our client’s premises.

Scoring services at Mindberg.ai consist of not only delivering the scoring model but also monitoring it in bi-annual cycles. As a result of monitoring, we may recommend continuing with the model, fine-tuning it, or retiring it based on the global best practice performance thresholds. We don’t just leave the monitoring deck with you; instead, we prepare a web-based monitoring dashboard or code it into your data visualization platform.