At Luminar, we’re looking to back founders who combine deep technical expertise with the ability to turn new technical approaches into practical, scalable products. When we met the team behind FirstQFM, it was clear they were tackling one of quantum computing’s hardest problems with exceptional clarity and focus.

Making Quantum Hardware Useful
Quantum computers are improving quickly, but today’s devices still face fundamental issues: noise, instability, and complex, time-consuming calibration. FirstQFM is developing machine learning foundation models that make quantum processors more stable, efficient, and reliable, improving their performance without requiring any hardware redesign. These models leverage proprietary training protocols and data partnerships with leading quantum hardware developers to automatically optimize system performance and scalability. In early demonstrations, FirstQFM’s software can cut execution times while improving accuracy and resilience to noise. The results point toward a major shift: using intelligent software to extract more capability from today’s quantum computers, enabling more companies and researchers to benefit from them.

A Complementary Founding Team
FirstQFM is led by two founders whose combined experience bridges deep research and commercial execution. Isaiah Hull, a quantum computing researcher and machine learning expert, brings scientific rigor and a long track record of work at the intersection of AI and quantum methods. Vish Ramakrishnan, a serial entrepreneur, has built and scaled enterprise software ventures and formed partnerships across both corporate and research ecosystems. Together, they have already validated the technology on large-scale quantum devices, filed foundational patents in multiple jurisdictions, and established early commercial relationships with leading quantum hardware and cloud-access providers.

Building the Performance Layer for Quantum Computing
As the quantum industry transitions from experimentation to deployment, software that improves hardware performance will become a critical layer of the stack. FirstQFM is building that layer, an independent optimization platform that can adapt to multiple hardware types and integrate directly into existing quantum development workflows. Their approach is technically robust, capital efficient, and already showing results that matter to both hardware manufacturers and enterprise users seeking earlier and more widespread access to usable quantum performance.

At Luminar, we see FirstQFM as a technically disciplined, execution-focused team building essential infrastructure for quantum computing’s next phase. Their early results validate both the technology and market pull, and their long-term vision aligns with how the ecosystem is evolving globally. We’re proud to back Vish and Isaiah as they build FirstQFM into a company that helps make quantum computing truly practical.