
QAILinks
QAILinks provides a Secure Execution Fabric (SCEF) that enables enterprises to design and operate governed, confidential quantum-ready AI workflows across independent trust boundaries. The platform orchestrates multiple technologies into unified pipelines, allowing sensitive data owners, AI model owners, quantum algorithm owners, and compute providers to collaborate without centralized asset ownership. SCEF enforces authorization, execution policies, and real-time monitoring with verifiable evidence for regulated environments.
- Artificial Intelligence
- Quantum Computing
- Cybersecurity
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Classical computing approaches struggle to scale for complex optimization and high-dimensional simulations, such as molecular and materials modeling. At the same time, enterprise AI is constrained by fragmented, privacy-sensitive data that limits collaboration across institutions. These challenges collectively point to the need for hybrid approaches that combine emerging computational paradigms with secure, distributed AI infrastructure.
Solution
QAILinks provides a Secure Execution Fabric (SCEF) that helps enterprises design and operate secure and confidential quantum-ready AI workflows. The platform orchestrates multiple technologies into unified, outcome-driven workflows, enabling organizations to explore emerging quantum computing use cases while maintaining security in regulated environments. SCEF governs coordination across independent trust boundaries, allowing sensitive data owners, AI model owners, quantum algorithm owners, and compute providers to participate in a single workflow without relinquishing control of their assets. The platform enforces authorization, execution policies, and approved workflow boundaries, while real-time monitoring observes workflow progress and policy decisions. QAILinks supports cross-institution AI execution where data sharing is restricted or sensitive, allowing organizations to collaborate without exposing proprietary information. The company aims to help enterprises identify high-impact quantum AI use cases in weeks rather than years, with many engagements targeting pilot execution within approximately six months.
Target Audience
Primary customers are enterprises in regulated industries—including healthcare, life sciences, and government—that need to explore quantum computing and AI use cases while maintaining strict data privacy and security, particularly organizations working with sensitive or fragmented data that limits cross-institution collaboration.
Features
- Secure Execution Fabric (SCEF) for confidential quantum-ready AI workflow design and operation across independent trust boundaries
- Governed coordination among sensitive data owners, AI model owners, quantum algorithm owners, and compute providers without centralized asset ownership
- AI governance enforcing authorization, execution policies, and approved workflow boundaries
- Real-time monitoring of workflow progress, policy decisions, and execution events with verifiable evidence
- Supports complex optimization and high-dimensional simulation use cases, including molecular and materials modeling
- Professional services for quantum-AI strategy, application development, and post-quantum security (PQC) readiness assessments