Submission rejected on 8 April 2025 by Sophisticatedevening (talk). This topic is not sufficiently notable for inclusion in Wikipedia. Rejected by Sophisticatedevening 2 months ago. Last edited by Theroadislong 2 months ago. | ![]() |
Submission declined on 8 April 2025 by Jlwoodwa (talk).Jlwoodwa 2 months ago. | ![]() |
Submission declined on 8 April 2025 by Sophisticatedevening (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by Sophisticatedevening 2 months ago.
| ![]() |
Submission declined on 8 April 2025 by Bonadea (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by Bonadea 2 months ago.
| ![]() |
Atlas LTA Advanced Technology Ltd. is an Israeli aerospace company specializing in the design and production of lighter-than-air (LTA) vehicles, including airships, tethered aerostats, and high-altitude pseudo-satellites (HAPS). The company develops aerial platforms for applications such as surveillance, telecommunications, cargo transport, and environmental research.
Atlas LTA was founded and is led by Gennadiy Verba, an Israeli and U.S. citizen with decades of experience in the LTA field. The company's design bureau consists of both seasoned professionals and younger engineers, working on modern airship concepts, structural design, and autonomous flight control systems. Its production facilities include equipment for automated fabric cutting, high-frequency welding, and material testing, allowing for in-house development and quality assurance.
Atlas LTA designs and manufactures various types of LTA vehicles. Among its flgship developments is ATLANT, a hybrid cargo airship intended for remote area logistics. ATLANT is designed to operate without runways, offering logistical solutions in regions with limited infrastructure.
The company also works on high-altitude pseudo-satellites (HAPS) — stratospheric platforms capable of staying aloft for extended periods. These vehicles are used for environmental monitoring, aerial surveillance, and communication services.
In terms of materials and propulsion, Atlas LTA invests in the development of lightweight, durable envelope fabrics and hybrid-electric propulsion systems. It also explores autonomous navigation technologies to improve the performance and efficiency of its aerial platforms.
Over the years, Atlas LTA has delivered more than 200 tethered aerostat systems ranging in volume from 100 to 13,000 cubic meters. It has developed and deployed over a dozen airships, including models with varying passenger capacities. The company contributed to the Loon Project by Google, providing expertise in the design of high-altitude LTA platforms. Additionally, Atlas LTA has created proprietary envelope materials resistant to radiation and extreme temperatures, used in long-endurance platforms.
The company’s LTA solutions have been utilized across industries such as defense, telecommunications, tourism, and scientific research.
Atlas LTA continues to work on autonomous flight technologies, sustainable propulsion systems, and artificial intelligence for flight control. Current research projects include long-endurance atmospheric platforms and next-generation airships intended for global communication and cargo delivery.
- Promotional tone, editorializing and other words to watch
- Vague, generic, and speculative statements extrapolated from similar subjects
- Essay-like writing
- Hallucinations (plausible-sounding, but false information) and non-existent references
- Close paraphrasing
Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.