DeepNight Inc.
Develops Deep Night Vision (DNV) machine learning algorithm for autonomous UAS navigation and sensing in very low-light environments.
Highlights
1 fact
CITE
Plain text
DeepNight Inc. — Tracked signals (12mo): 1. robotics.press Directory. As of 2026-06-06; dataset rp-dir-2026-07-15. https://robotics.press/company/deepnight-inc/#fact:deepnight-inc:signal_count
BibTeX
@misc{robotics_press_deepnight-inc_signal_count,
author = {{robotics.press}},
title = {DeepNight Inc. — Tracked signals (12mo)},
howpublished = {robotics.press Directory},
year = {2026},
url = {https://robotics.press/company/deepnight-inc/#fact:deepnight-inc:signal_count},
note = {As of 2026-06-06; dataset rp-dir-2026-07-15}
} CSL JSON
{
"id": "fact:deepnight-inc:signal_count",
"type": "webpage",
"title": "DeepNight Inc. — Tracked signals (12mo)",
"author": [
{
"literal": "robotics.press"
}
],
"publisher": "robotics.press Directory",
"URL": "https://robotics.press/company/deepnight-inc/#fact:deepnight-inc:signal_count",
"issued": {
"date-parts": [
[
2026,
6,
6
]
]
},
"note": "As of 2026-06-06; dataset rp-dir-2026-07-15",
"dataset-release": "rp-dir-2026-07-15"
} Scale & activity
1 signals
Deployment sites: searched, not found. We searched the available record and found no published evidence.
Analysis
Research Report: DeepNight Inc.
DeepNight Inc. is a seed-stage San Francisco company developing AI-enabled digital night vision technology using edge-embedded deep learning models on CMOS sensors for defense, robotics, and autonomous systems. The report covers the company's technology approach, funding history, reported customer partnerships with U.S. defense agencies, and competitive positioning within the night vision and autonomous perception markets.
- Research methods and evidence notes
- Market implications and peer comparison
- Risk register and source appendix
Dataset rp-dir-2026-07-15 · schema 1.0.0 · data changed 23 Jul 2026