Lintu’s Model-Based Design (MBD) and Model-Based Systems Engineering (MBSE) allows modelling innovative potential solutions at a greatly reduced cost so organizations can assess solutions effectively.

Our approach enables decision makers to manage risk and learn valuable lessons from the models before deployments. Developing digital twins of key systems enables our engineers and solution architects to explore more variants and options far more efficiently, and to perform complex iterative predictive analysis in virtual prototyping. Our R&D modeling defines baselines across full life cycles, integrating across all disciplines and across all program elements to assess risk, model the cost of ownership (TCO) and ultimately realize the intended ROI.

Lintu uses advance virtualization and cyber-physical interfacing to allow integration of hybrid subsystems into a highly flexible composite construct.  The outcome is definable environments where component substitutions can be accomplished while incurring only fractions of traditional time and costs.