Quantum Sensing Funding Ranking
Quantum sensing and quantum metrology companies commercialize atom interferometry, diamond NV magnetometry, optical clocks and other sensors that outperform classical devices. This page ranks quantum sensing companies by total disclosed funding.
| # | Company | Region / Country | Technology | Total Funding | Latest Round |
|---|---|---|---|---|---|
| 1 | CIQTEKHefei, Anhui · est. 2016 | 🇨🇳 China | 📡 quantum-sensingEPR / diamond magnetometry | ~$85MGrowth | Series B · 2021-08 |
| 2 | QnamiBasel · est. 2017 | 🇪🇺 EuropeSwitzerland | 📡 quantum-sensingDiamond NV magnetometry | ~$10MGrowth | — |
| 3 | Single QuantumDelft · est. 2012 | 🇪🇺 EuropeNetherlands | 📡 quantum-sensingSNSPD single-photon detection | ~$8MEarly | — |
| 4 | AtomionicsSingapore · est. 2020 | 🌏 Asia-PacificSingapore | 📡 quantum-sensingCold-atom gravimetry | ~$5MEarly | — |
Figures marked ~ are approximations from public reporting. See methodology. Data: companies.json (CC BY 4.0). For the full cross-technology table, see the global quantum funding rankings.
How to read this ranking
Quantum sensing and metrology is the thinnest cohort in this dataset — 4 tracked companies and about $108M of disclosed financing. That is a measurement of our coverage as much as of the market: precision-measurement firms often sit inside larger instrumentation businesses and rarely announce standalone quantum-branded rounds.
Why this column is smaller than the others
Atom interferometry, diamond NV magnetometry and optical-clock work share a supply chain with established scientific-instrument companies. Corporate R&D budgets, government contracts and equipment sales do not produce the press release that a venture round does, so a news-monitoring pipeline systematically under-counts them.
We treat that as a known coverage bias and say so on the methodology page. A short list here should not be read as evidence that sensing attracts less capital overall — only that less of it is publicly disclosed as company financing.
Sensing revenue arrives earlier
Unlike fault-tolerant computing, several sensing modalities have sellable instruments today: magnetometers, gravimeters, clocks and RF receivers. A company can therefore fund part of its roadmap from product revenue, which reduces the need for large equity rounds and makes its position in this ranking look weak for the wrong reason.
For that reason the most useful companion data on this page is not the amount column but the company descriptions and founding dates. A mature, revenue-generating instrumentation business with modest disclosed funding may be in better financial shape than a pre-revenue company several rows above it.
What actually separates the approaches
NV-centre devices compete on room-temperature operation and compact form factors. Atom-interferometry systems compete on absolute accuracy in gravimetry and navigation. Optical clocks target timing and synchronisation infrastructure. Their customers, certification cycles and capital needs are almost entirely disjoint.
Grouping them under one technology label is a convenience for navigation, not an analytical claim. When we publish cross-technology comparisons, we keep these distinctions in the prose rather than averaging them into a single sector number.
What would change the picture
A dedicated sensing fund, a spin-out from a national metrology institute, or a defence procurement contract that is disclosed as company financing would all add rows. More likely, though, this page will grow slowly because the underlying disclosures are rare. We add historical snapshots and a corrections log so any late-discovered round can be traced back to its source.
What the numbers on this page actually show
Of the 4 companies on this list, 4 have a disclosed cumulative figure and 0 do not. The median disclosed total is $10M; the three largest rows (CIQTEK, Qnami, Single Quantum) account for roughly 95% of all capital tracked here, led by CIQTEK. That concentration is a property of capital-intensive hardware, not a verdict on which technology works best.
Every figure is a lower bound. Undisclosed rounds, partially disclosed RMB amounts, grants bundled into a financing package and public-market programmes drawn down over months all move the same row in different directions. We publish the underlying JSON so you can recompute the table under your own rules; the ranking rule itself is documented on the methodology page, and the reasoning behind editorial choices is on the editorial policy page.