BQP (formerly BosonQ Psi) has secured a strategic investment from IBM Ventures, taking its total funding to $8 million. The startup had secured $6.6 million until July 2025.
The investment will support the company’s expansion from engineering design into operational deployment. Venn10 Capital and existing investor Monta Vista Capital also participated in the investment round.
The company will use the funding to scale delivery and go-to-market activities. It also plans to expand beyond aerospace and defence. The funding extends a technical relationship between BQP and IBM that began in 2023 when BQP joined the IBM Quantum Network.
BQP said its contracted and committed revenue has increased eightfold since its 2025 seed round. The company claims that its customer base has tripled, while its platform users have grown 20-fold.
Its flagship platform, BQPhy, targets a limitation in classical physics simulations. BQP said classical software leaves about 85% of a GPU’s floating-point capacity unused. The platform aims to use that capacity to deliver physics simulations within operational decision windows.
BQPhy uses a physics-AI optimisation engine to resolve full physics while maintaining speed. It offers two solvers through a single software development kit. The platform also integrates with MATLAB and provides APIs for Python, Julia and other frameworks.
QuantumNOW, the company’s existing platform, runs on customers’ CPU and GPU infrastructure. BQP said each deployment identifies problems that could benefit from quantum processing units. This approach supports the development of QuantumMAX, its quantum-native solver.
“Users don’t have to change how they work to get quantum-accelerated results,” said Emily Fontaine, Global Head of IBM Ventures. She said BQP’s software gives enterprises a practical path to hybrid quantum-classical computing.
BQP’s aerospace and defence work includes an SBIR project with the US Space Force and SpaceWERX. The company said its system can propagate a catalogue of more than 3,000 space objects in under a second. It reported that the system is about 250 times faster than the open-source Orekit solver.
The company also holds a cooperative research agreement with the Air Force Research Laboratory. It has demonstrated BQPhy on radio-frequency signal problems with NavalX. With Modovolo, BQP developed propulsion optimisation for unmanned aerial vehicle mission profiles.
BQP is applying its platform to energy systems. Its work includes electric vehicle battery thermal management, funded by India’s Ministry of Heavy Industries and the Indian School of Business.
The startup said QuantumNOW is already in production, while QuantumMAX remains under development. At USNC/TAM 2026, the company ran QuantumMAX on quantum hardware to quantify uncertainty in computational fluid dynamics. It reported comparable accuracy to classical Monte Carlo using fewer samples.
“An engineer with a deadline doesn't care where the answer came from,” said Abhishek Chopra, BQP’s founder and CEO. “They care that it arrived in time and that the physics is right.”
Chopra said BQP had spent years integrating its technology into engineering workflows. He added that the company aims to ensure those workflows can support quantum machines when they become ready for wider use.
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