Create a sustainable cabin concept that uses smart sensors to assess air quality; analyzes the “health” of the air in real time and automatically adjusts HVAC operations; additionally integrates wellness-enhancing substances or filtration solutions to ensure a healthier, more comfortable, and more sustainable onboard environment for passengers and crew.

Create a clinical decision-support assistant that automatically analyzes a patient’s health data (diagnoses, tests, medications, lifestyle information, and, if available, genetic data); detects potential causes of treatment ineffectiveness such as interactions, contraindications, missing tests, or risk factors; and provides evidence-based directions for further diagnostics or treatment adjustments with clearly cited sources, helping the doctor make informed clinical decisions.

Create an edge solution that evaluates real-time electrical grid load on the client side; autonomously makes decisions and controls devices (EV chargers, heat pumps, storage units) without central latency; integrates with ESO signals and helps ensure stable, balanced, and efficient local grid operation.

Create an autonomous solution that uses cameras or other sensors to monitor work zones onboard; evaluates workers’ task progress, quality, and safety aspects in real time; operates fully autonomously and provides accurate insights to ensure smooth, safe, and efficient work execution on the ship.

Create a data-driven energy consumption analysis tool that automatically evaluates a user’s electricity usage data; identifies inefficiencies and segments users based on behavior; generates personalized energy-saving recommendations, providing clear visualizations, potential savings, and modeling scenarios that encourage more sustainable and conscious energy use.

Create an AI optimization platform that automatically generates and calibrates marketing content for different AI agents; adapts website and social media information so that AI models interpret, evaluate, and recommend it correctly; ensures greater visibility in AI responses, consistent brand positioning, and reduces the risk of misinterpretation in a rapidly evolving AI-driven digital environment.

Develop an AI solution that automatically fills in required medical statistical forms for VLK submissions and/or optimizes a high-volume hospital call center. The goal is to reduce manual administrative work, streamline repetitive tasks, and improve patient service through intelligent automation.