Open Calls for Talent
We are seeking elite practitioners to solve high-value business problems. These challenges are sourced from our corporate partners and the open sea. If you have the expertise to build a solution, we invite you to apply to our incubator program.
The Challenge Board
Browse the current challenges. Successful solutions may be spun out into new ventures with corporate backing. Please note: All projects are dynamic in this early stage. The descriptions below represent a 'best case' brief generated by our AI agents to inspire action; the final scope will be defined with the selected practitioner.
Develop an intelligent lead scoring system using QML to identify high-value prospects from vast customer datasets. The system should enrich data via GenAI and predict conversion probability. The final deliverable should be a dashboard that visualizes lead scores and the factors contributing to them, integrated with a mock CRM.
Build an AI that synthesizes text-based symptoms, medical images (e.g., X-rays, MRIs), and audio clips of coughs or speech to form a more holistic preliminary diagnosis. This project leverages QML for complex, high-dimensional pattern recognition.
Tackle the Traveling Salesperson Problem for complex logistics. Build an application using quantum annealing concepts to calculate the most efficient routes in a vast search space, visualizing the optimal path on an interactive map.
Architect and build a prototype for a data storage solution that uses Post-Quantum Cryptography (PQC) algorithms (like CRYSTALS-Kyber) to secure data at rest against future quantum threats. The vault should have a simple API for CRUD operations.
Create a high-fidelity dataset of human intuition and behavior for agentic augmentation. This 'synthetic human' data will be broadcast via an API to provide our agentic systems with a constant stream of common-sense reasoning, making their decisions more robust and aligned with human values.
Develop a system that processes high-volume data streams (e.g., live video, network traffic) to identify anomalous patterns in real time. This project explores quantum-enhanced perception to detect faint signals or complex deviations that are computationally prohibitive for classical systems.
How It Works
When you apply, select "Incubator Application". Mention the challenge you are interested in. Our Sorter AI will review your submission. If your expertise is a match, you will be invited to join the NTU x Eve Count AI Incubator to build out the solution.
Go to Application