Orion Labs LLC — QEOBS Quantum Machine Learning¶
FO TechLeap Prize winner. Balloon-tested quantum ML for onboard Earth observation data reduction. Micro-company with successful balloon demo; no follow-on contracts or LEO mission yet.
Summary¶
Orion Labs LLC (Nunn, Colorado) developed the Quantum Earth OBServatory (QEOBS) — a 4U CubeSat payload using quantum machine learning for onboard image classification, reducing downlink bandwidth requirements. FO project 106608 flew on a high-altitude balloon (July 28, 2022, TRL 3→5). The project won an inaugural NASA TechLeap Prize. Despite successful demonstration — quantum ML model trained in-flight via IBM quantum computers, dam detection use case confirmed — Orion Labs remains a micro-company with minimal contract history. No LEO mission yet.
PI: Sara Jennings
Confidence: suggestive (balloon demo confirmed; LEO or commercial path unconfirmed)
FO Project¶
| Field | Detail |
|---|---|
| Project ID | 106608 |
| Title | Quantum machine learning enhanced sensor combination for Earth Observation (QMLS-EO) |
| Period | 2021-09-01 – 2024-09-30 |
| TRL | 3→5 |
| Platform | High-altitude balloon (Aerostar, Fort Sumner NM vicinity) |
| TX area | TX11.4.8: Edge Computing |
The experiment: QEOBS 4U payload on balloon gondola. Flew July 28, 2022. Mission: detect dams in aerial imagery using quantum ML processed partially onboard and partially via real-time IBM quantum computer connection from the ground.
Result: Several thousand images collected in 6+ hour flight. Quantum ML model trained during flight. Dam detections confirmed. Only confirmed detections downlinked (not all raw imagery). This is the core value proposition: onboard quantum ML can reduce downlink bandwidth by rejecting non-interesting data at the edge.
TechLeap Prize¶
Orion Labs won one of three inaugural NASA TechLeap Prize awards. The TechLeap Prize (NASA Armstrong) recognizes Flight Opportunities performers who demonstrate innovative capabilities. This is a meaningful signal of NASA recognition for the technology approach.
Reference: NASA Armstrong article "NASA TechLeap Prize Winner Tests Quantum Earth Observation System"
Company Profile¶
- Location: Nunn, Colorado (rural, small company)
- Scale: Micro-business (2–5 employees estimate; "employees teamed up for TechLeap in 2021")
- USASpending: Only $25.6K and $18.5K from NIST (vacuum chamber work, 2017–2020 — unrelated)
- No NASA contracts beyond FO project visible
The company is either pre-revenue or operating on a shoestring. The FO balloon demo was their primary funded development activity.
Technology Assessment¶
Quantum ML for edge computing in space is real but nascent. The classical ML equivalent is well-established in Earth observation (onboard inference for cloud-masking, target detection, etc.). The quantum advantage is unproven at current qubit counts for practical tasks — but the demonstration showed it is feasible in principle.
Key limitation: The QEOBS demo needed a real-time IBM quantum computer ground connection for training. A space-deployable system needs onboard quantum processing or a more efficient hybrid approach. The 30-qubit target in the TechPort description is at the threshold of quantum advantage; scaling is required.
If LEO CubeSat flies: Would be first quantum ML payload in orbit for Earth observation. The bandwidth reduction use case is genuinely commercially valuable for constellation operators.
Outcome Assessment¶
| Dimension | Finding |
|---|---|
| Technology | TRL 3→5; balloon demo successful; quantum ML in-flight training confirmed |
| TechLeap Prize | Won — NASA recognition |
| LEO path | Planned but no confirmed mission as of April 2026 |
| Commercial | No product/service visible; minimal contract history |
| Company survival | Unclear — micro-company, no contracts visible after FO project |
Archetype: TechLeap Prize winner with real technology demo, no follow-on funding path secured. Small company, niche technology, long path to commercial deployment. Watch for: CubeSat ride-share opportunities, SBIR Phase I, or partnership with a commercial Earth observation operator.