DeepNight Inc.

Develops Deep Night Vision (DNV) machine learning algorithm for autonomous UAS navigation and sensing in very low-light environments.

sources 0 record sources · provenance backfill in progress last checked 6 Jun 2026 next review due 4 Sept 2026 Suggest a correction

Highlights

1 fact

Tracked signals (12mo) 1
confidence not yet assessed as of 6 Jun 2026
CITE

As of dataset rp-dir-2026-07-15

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

1 tracked signals latest 6 Jun 2026

Deployment sites: searched, not found. We searched the available record and found no published evidence.

Analysis

Research Report: DeepNight Inc.

quick report · 6 Jun 2026 · 14 sources · 2,404 words

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.

What the full report unlocks
  • Research methods and evidence notes
  • Market implications and peer comparison
  • Risk register and source appendix
Unlock the full report →

Sources

Per-fact source backfill in progress.

Searched, not found

  • competitors
  • deployment sites
Cite this dossier

As of dataset rp-dir-2026-07-15

Plain text

DeepNight Inc. company dossier. robotics.press Directory. As of 2026-07-23; dataset rp-dir-2026-07-15. https://robotics.press/company/deepnight-inc/

BibTeX

@misc{robotics_press_deepnight-inc_dossier,
  author = {{robotics.press}},
  title = {DeepNight Inc. company dossier},
  howpublished = {robotics.press Directory},
  year = {2026},
  url = {https://robotics.press/company/deepnight-inc/},
  note = {As of 2026-07-23; dataset rp-dir-2026-07-15}
}

CSL JSON

{
  "id": "robotics-press-deepnight-inc",
  "type": "webpage",
  "title": "DeepNight Inc. company dossier",
  "author": [
    {
      "literal": "robotics.press"
    }
  ],
  "publisher": "robotics.press Directory",
  "URL": "https://robotics.press/company/deepnight-inc/",
  "issued": {
    "date-parts": [
      [
        2026,
        7,
        23
      ]
    ]
  },
  "note": "As of 2026-07-23; dataset rp-dir-2026-07-15",
  "dataset-release": "rp-dir-2026-07-15"
}

Dataset rp-dir-2026-07-15 · schema 1.0.0 · data changed 23 Jul 2026

Signals1

Collected mentions that contributed to this profile.