
Haiqu has raised an $11 million seed funding round led by Primary Venture Partners, with participation from Qudit Investments, Alumni Ventures, Collaborative Fund, Silicon Roundabout Ventures, and returning investors Toyota Ventures and Mac Venture Capital.
SUMMARY
- Haiqu has raised an $11 million seed funding round led by Primary Venture Partners, with participation from Qudit Investments, Alumni Ventures, Collaborative Fund, Silicon Roundabout Ventures, and returning investors Toyota Ventures and Mac Venture Capital.
Haiqu was founded in 2022 by Richard Givhan, a Stanford-trained engineer, and Mykola Maksymenko, a quantum researcher with experience at the Max Planck Society and the Weizmann Institute of Science.
“Quantum teams need to make empirical progress on hardware to close the gap toward industrially useful quantum applications. Today, too little experimentation happens because quantum cloud costs are prohibitive and hardware performance remains insufficient,” said Givhan.
Read Also - Mannheim’s osapiens Raises €85.8M Funding In Series C Round
RECOMMENDED FOR YOU
Decade Energy Secures €22 M To Scale Europe’s Depot Power Infrastructure For Truck Electrification
Oliver Bennett
Apr 23, 2026
Vigilant AI.ai Secures £585K Pre-seed Funding To Launch Compliant “AI Teammates”
Kailee Rainse
Nov 4, 2025
He added, “Our goal is to change that overnight with a software system that can run larger applications at a fraction of the cost. We are grateful to have found investors who recognise the ugly truth: middleware isn’t sexy, but it matters.”
Haiqu’s technology bridges the gap between noisy quantum hardware and the complex algorithms they struggle to run. Its operating system reduces inefficiencies through circuit optimization, intelligent data handling and proprietary “error shielding.”
Unlike platforms such as Zapata AI, Classiq and Riverlane, Haiqu operates across multiple quantum machines, adapting performance to each specific device type.
About Haiqu
Haiqu is a quantum software company building a new execution stack for near-term quantum computers across all hardware modalities. Its platform enables large-scale data loading, advanced simulations, and noise-resilient quantum machine learning, helping unlock practical performance from today’s imperfect quantum devices.
Recommended Stories for You
Engrate Funding News-Swedish Energy Startup Engrate Secures €2.5M For Efficient Energy Integration
Kailee Rainse Jun 14, 2025





