Custom solutions

Our Custom Model Sessions are designed to solve real business problems using both GenAI and Analytical AI. We work hands-on with your data to develop tailored, decision-grade solutions within a clear validation and governance framework.

Some examples of what we build:

• Advanced predictive & optimization models:
  We combine causal driver identification, feature selection, and temporal modeling (e.g., sequential architectures such as LSTM) to uncover what truly drives performance, forecast future outcomes, and optimize operational decisions. These approaches help reduce noise, improve robustness, and translate complex datasets into actionable insights.

• Cost-efficient proxy modeling:
  We develop models that link indirect or lower-cost inputs to complex target variables, enabling scalable and practical analytics without excessive measurement or data collection overhead.

• AI-driven quality control:
  Deep learning models, including modern computer vision architectures, automate inspection and pattern recognition tasks to improve consistency, speed, and profitability.

• Anomaly detection & decision support:
  Using techniques such as Isolation Forest and gradient boosting, we detect subtle irregularities in structured data and provide clear dashboards to support expert decision-making.

These are just few examples. We have applied similar methodologies across multiple industries and problem domains.