Startup Profile: QUANTUM DATA CENTER

QDC - Quantum Data Center focuses on solving large-scale combinatorial optimization problems in logistics and operations research, particularly in disruption management for airlines. The company provides high-performance computing (HPC) solvers through a platform API, making scientific and quantum computing more accessible to developers.

Website: qdc.ai
Industry: Quantum Computing, High-Performance Computing (HPC), and Optimization
Founded: 2022
Headquarters: USA

  • Many industries, especially airlines and railways, struggle with complex logistics optimization problems that require extensive manual effort, costly computational resources, and are prone to inefficiencies. Traditional solutions are slow, difficult to use, and require expert knowledge making them inaccessible to many businesses. Disruptions are costly, with airline disruptions in the US alone costing USD 12B in excess costs in 2022.

  • QDC offers a software platform that simplifies optimization by integrating classical and quantum-inspired solvers. OMNIS translates business problems into mathematical optimization models using AI and machine learning, while VeloxQ is a high-performance computing solver that runs classical, hybrid, and quantum-inspired algorithms efficiently. By leveraging these tools, QDC reduces modeling time from weeks to minutes, helping businesses save costs and improve decision-making speed.

  • The demand for optimization solutions is rapidly growing in industries such as aviation, logistics, and energy. Advances in quantum computing are making early commercial applications feasible, offering a significant competitive advantage to those who integrate these technologies. The increasing role of big data and AI has heightened the need for more powerful solvers capable of handling complex networks. Despite these opportunities, there are currently few companies focusing on quantum-based combinatorial optimization, making this a critical moment for QDC to establish itself as a market leader.

FINANCIALS

QDC raised a $4M pre-seed funding round in Q3 2023 at a $13M pre-money valuation. The company projects $300K in revenue for 2024 and $1M in 2025, with 79% of expenses allocated to R&D and engineering.

MARKET SIZE

The total addressable market (TAM) for QDC’s solutions is $9 billion, focusing on logistics and supply chain disruption management. Within this, the serviceable obtainable market (SOM) is $2.3 billion, specifically targeting airline disruption management and operational decision support. The broader aviation analytics market was valued at $3.5 billion in 2022 and is projected to grow at a CAGR of 11.86%, reaching $10.8 billion by 2032.

TEAM

QDC is led by Dominik Andrzejczuk, CEO, an experienced investor and former venture capitalist at Atmos Ventures. Kamil Hendzel, the Chief Product Officer, specializes in algorithm development and AI/ML solutions. Bartłomiej Gardas, PhD, serves as the Chief Scientific Officer, bringing expertise in quantum optimization. Piotr Warsicki, the Chief Operating Officer, oversees operations and strategic growth.

  • QDC's product portfolio includes OMNIS, which converts business problems into mathematical models using AI, and VeloxQ, which runs high-performance solvers that integrate classical, hybrid, and quantum-inspired algorithms. These tools are accessible via a cloud-based API deployed on Microsoft Azure Quantum Cloud. QDC’s technology is currently being deployed in an early-stage proof-of-concept with FLYR Labs for airline optimization. The company is also in the process of developing an API to enable scalable, cloud-based access to its solvers, making it easier for businesses to integrate quantum optimization into their workflows.

  • QDC plans to generate initial revenue through paid pilot projects (PoCs) with enterprise clients. The company is set to launch the standalone VeloxQ solver on Microsoft Azure, offering it as a service. QDC's pricing strategy includes performance-based pricing, where customers pay based on the cost savings achieved through optimization. As the company scales, it will offer enterprise licensing for OMNIS, allowing large organizations to integrate QDC’s technology into their operations.

  • Currently, there are no direct competitors that match QDC’s approach to quantum-based optimization. However, indirect competition exists in two main areas. In aviation-specific solutions, companies such as Optifly and BoldIQ offer AI-based scheduling tools. General-purpose solvers, including Gurobi, MemComputing, Fujitsu, and Toshiba, require manual setup and lack automation. QDC differentiates itself by providing quantum-ready and HPC-driven optimization, along with automated problem modeling using AI, which significantly reduces complexity for end-users.

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