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Maris-Tech Unveils Venus-Space, Expanding AI-Powered Edge Video Solutions to Low Earth Orbit Nano Satellites

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Very Positive)
Tags
AI

Maris-Tech (Nasdaq:MTEK) unveiled Venus-Space, an AI-powered edge video and computing platform for low Earth orbit nano satellites. The upgraded Venus-Pro architecture supports ultra-high-resolution video up to 25 Gbps, onboard AI inference, flexible storage, and advanced RF datalinks for time-shifted or low-latency streaming.

By processing data in orbit, Venus-Space is designed to reduce bandwidth usage and latency, enabling satellites to act as intelligent nodes for Earth observation, remote connectivity, and space-based AI networks.

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AI-generated analysis. Not financial advice.

Positive

  • New Venus-Space product extends edge AI video platform into LEO nano satellites
  • Upgraded Venus-Pro architecture targets space applications with ruggedized design
  • Supports ultra-high-resolution video acquisition at speeds up to 25 Gbps
  • Onboard AI inference aims to send only actionable insights to Earth
  • Designed to reduce satellite bandwidth usage and improve latency for operators

Negative

  • None.

Key Figures

Video data rate: 25 Gbps
1 metrics
Video data rate 25 Gbps Ultra-high-resolution video acquisition speed for Venus-Space platform

Market Reality Check

Price: $1.2400 Vol: Volume 116,079 is below t...
normal vol
$1.2400 Last Close
Volume Volume 116,079 is below the 20-day average of 153,447 (relative volume 0.76). normal
Technical Shares at $1.24 are trading below the 200-day MA of $1.74 and about 71% under the $4.27 52-week high.

Peers on Argus

Momentum scanner shows DAIO up about 4.26% while IMTE is down about 7.25%, with ...
1 Up 1 Down

Momentum scanner shows DAIO up about 4.26% while IMTE is down about 7.25%, with no common news theme and mixed moves across other electronic component peers, pointing to stock-specific drivers for MTEK.

Previous AI Reports

5 past events · Latest: May 26 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
May 26 AI platform launch Positive -8.2% Introduced compact edge AI fiber-optic platform for loitering munitions and drones.
May 18 Product development Positive +3.5% Completed Peridot Night Micro AI imaging module for multi-domain situational awareness.
May 06 AI capability upgrade Positive +0.0% Completed advanced AI-based autonomous tracking capability for Jupiter drone platforms.
Mar 09 Defense AI overview Positive -0.6% Profiled edge AI positioning amid rising defense spending and first Jupiter orders.
Mar 09 AI strategy profile Positive -0.6% Highlighted MTEK as micro-cap defense tech with new Jupiter and vehicle contracts.
Pattern Detected

AI-tagged announcements have often seen weak or negative next-day moves, with 4 divergences vs. news tone and only 1 aligned reaction.

Recent Company History

Over recent months, Maris-Tech has repeatedly highlighted AI-powered edge video solutions across drones and defense platforms, moving from capability upgrades to production orders and operational deployments. Five AI-tagged releases since March 9, 2026 show an average next-day move of about -1.14%, with several product and capability launches met by selling pressure. Today’s Venus-Space LEO nano-satellite solution extends that edge-AI focus from terrestrial and aerial platforms into space applications.

Historical Comparison

-1.1% avg move · Across 5 recent AI-tagged releases, MTEK’s average next-day move was about -1.14%, with most product...
AI
-1.1%
Average Historical Move AI

Across 5 recent AI-tagged releases, MTEK’s average next-day move was about -1.14%, with most product and capability launches seeing selling pressure despite positive positioning.

Series of AI-driven edge video launches and tracking upgrades across drones and defense platforms, now extending conceptually toward space and multi-domain applications.

Regulatory & Risk Context

Active S-3 Shelf · $100,000,000
Shelf Active
Active S-3 Shelf Registration 2026-03-13
$100,000,000 registered capacity

Maris-Tech has an effective Form F-3 shelf filed on 2026-03-13, allowing up to $100,000,000 in ordinary shares, warrants, or units, with proceeds earmarked for working capital and general corporate purposes. The shelf has been tapped at least once via a 424B5 ATM prospectus supplement dated 2026-03-30 for up to $3,007,329 of ordinary shares.

Market Pulse Summary

This announcement expands Maris-Tech’s AI-powered edge video solutions into low earth orbit nano sat...
Analysis

This announcement expands Maris-Tech’s AI-powered edge video solutions into low earth orbit nano satellites via the Venus-Space platform, capable of handling ultra-high-resolution video at up to 25 Gbps. It builds on a series of AI-tagged launches that, on average, produced about -1.14% next-day moves. Investors may monitor adoption in space applications, contract wins, and the company’s use of its $100,000,000 F-3 shelf and ATM program when evaluating future developments.

Key Terms

low earth orbit, edge computing, radio frequency datalink, edge video processing
4 terms
low earth orbit technical
"designed specifically for low earth orbit (“LEO”) nano satellites."
Low Earth orbit (LEO) is the region of space close to Earth, roughly from about 160 to 2,000 kilometers above the surface, where satellites and spacecraft circle the planet quickly—think of it as a busy highway just overhead. It matters to investors because many communications, imaging and data services rely on satellites in LEO; their shorter lifespans, lower launch costs, crowded lanes and debris risks directly affect the cost, revenue potential and operational risks of companies that build, launch or use these satellites.
edge computing technical
"As the space industry moves toward cloud-to-edge computing architectures"
Edge computing is a technology that processes data close to where it is generated, such as sensors or devices, rather than sending it all to a distant central location. This allows for faster decision-making and reduces delays, much like having a local office handle urgent matters instead of waiting for instructions from a main headquarters. For investors, it signifies improved efficiency and real-time insights, which can enhance the performance of technology-dependent industries.
edge video processing technical
"a global leader in artificial intelligence (“AI”)-based edge video processing technology"
Edge video processing is the analysis and transformation of video data on local devices or nearby network nodes instead of sending raw footage to a distant data center. Like having a quick-use kitchen next door rather than shipping ingredients to a faraway restaurant, it cuts delay and network use, keeps sensitive footage closer to the source, and enables real-time features — factors that can reduce costs, unlock new products, and affect revenue and risk for investors.

AI-generated analysis. Not financial advice.

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Upgraded edge computing platform delivers ultra-high-resolution video acquisition, onboard AI processing, and real-time streaming for space applications.

Rehovot, Israel, June 01, 2026 (GLOBE NEWSWIRE) -- Maris-Tech Ltd. (Nasdaq: MTEK, MTEKW) (“Maris-Tech” or the “Company”), a global leader in artificial intelligence (“AI”)-based edge video processing technology, today announced it is increasing its efforts in the space sector with the development of the Venus-Space video and AI edge computing solution, designed specifically for low earth orbit (“LEO”) nano satellites.

The development of Venus-Space was initiated following inquiries from potential customers regarding advanced onboard processing capabilities for space platforms. The new solution is an upgraded version of the Company’s field-programmable gate array-based Venus-Pro, which was originally designed to provide situational awareness for armored vehicles.

As the space industry moves toward cloud-to-edge computing architectures, modern LEO nano satellites increasingly integrate ultra-high resolution cameras that require onboard recording, edge computing, and streaming capabilities directly to Earth. By processing data closer to where it is created, Venus-Space is designed to significantly reduce latency and bandwidth usage, allowing satellites to act as intelligent compute nodes rather than simple communication relays.

Key Capabilities of Venus-Space include:

  • High-Speed Data Acquisition: Capable of supporting ultra-high resolution video acquisition at speeds up to 25 Gbps.
  • Flexible Storage and Streaming: Enables local onboard recording of both raw and compressed video.
  • Advanced Radio Frequency Datalink: Supports the streaming of time-shifted pre-recorded video or low latency, scaled-down live video back to Earth.
  • Onboard AI Inference: Leveraging advanced AI acceleration, the platform allows for the implementation of a variety of space-based AI networks, ensuring that only actionable insights are transmitted to terrestrial stations.

“We are seeing growing demand for compact payload solutions that combine advanced imaging, onboard processing, and AI-driven capabilities across new frontiers,” said Israel Bar, Chief Executive Officer of Maris-Tech. “The development of Venus-Space reflects our strategy to provide customers with ruggedized, ready-to-deploy technologies designed for real-world operational environments. By upgrading our proven Venus-Pro architecture, we are extending our edge computing expertise into space, allowing satellite operators to run complex AI models directly in orbit.”

Traditional satellite systems transmit raw data continuously to distant data centers on Earth, straining available bandwidth. Venus-Space allows operators to filter, compress, and analyze data in orbit, offering a scalable and resilient solution for Earth observation, remote connectivity, and space-based AI networks.

About Maris-Tech Ltd.

Maris-Tech delivers AI-powered edge video solutions for mission-critical defense and security operations, enabling real-time situational awareness, intelligence gathering, and surveillance in bandwidth- and latency-constrained environments. Trusted by leading security organizations, Maris-Tech platforms are deployed across UAVs, UGVs, armored vehicles, and dismounted soldier systems, supporting missions that require ultra-low-latency video processing and onboard AI analytics. From intelligence collection in extreme conditions to AI-driven surveillance and terrain dominance, Maris-Tech masters the AI video pipeline at the edge through best-in-class SWaP-optimized, ruggedized computing solutions.

For more information, visit https://www.maris-tech.com/

Forward-Looking Statements Disclaimer

This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, that are intended to be covered by the “safe harbor” created by those sections. Forward-looking statements, which are based on certain assumptions and describe our future plans, strategies and expectations, can generally be identified by the use of forward-looking terms such as “believe,” “expect”,” “may”, “should,” “could,” “seek,” “intend,” “plan,” “goal,” “estimate,” “anticipate” or other comparable terms. For example, the Company is using forward-looking statements when it is discussing the benefits, advantages and capabilities of Venus-Space, growing demand for compact payload solutions that combine advanced imaging, onboard processing, and AI-driven capabilities across new frontiers, the successful development and commercialization of Venus-Space, potential customer adoption of Venus-Space, and its strategy to provide customers with ruggedized, ready-to-deploy technologies designed for real-world operational environments. The Company’s actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include, among others, the following: its ability to successfully develop, commercialize and market its products and services, including in the United States; the acceptance of its products and services by customers; its continued ability to pay operating costs and ability to meet demand for its products and services; the amount and nature of competition from other security and telecom products and services; the effects of changes in the cybersecurity and telecom markets; its ability to successfully develop new products and services; its success establishing and maintaining collaborative, strategic alliance agreements, licensing and supplier arrangements; its ability to comply with applicable regulations; and the other risks and uncertainties described in the Annual Report on Form 20-F for the year ended December 31, 2025, filed with the SEC on May 15, 2026, and its other filings with the Securities and Exchange Commission. The Company undertakes no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.

Investor Relations:
Nir Bussy, CFO
Tel: +972-72-2424022
Nir@maris-tech.com


FAQ

What is Maris-Tech (MTEK) Venus-Space and who is it designed for?

Venus-Space is an AI-powered edge video and computing platform for low Earth orbit nano satellites. According to Maris-Tech, it targets operators needing ultra-high-resolution video, onboard processing, and real-time or time-shifted streaming directly from space to Earth.

What are the key technical capabilities of Maris-Tech (MTEK) Venus-Space?

Venus-Space supports ultra-high-resolution video acquisition at speeds up to 25 Gbps. According to Maris-Tech, it offers flexible onboard recording, advanced RF datalinks for live or pre-recorded streaming, and AI inference to run space-based neural networks and transmit only key insights.

How does Venus-Space from Maris-Tech (MTEK) reduce satellite bandwidth usage?

Venus-Space processes data directly in orbit, filtering and compressing information before transmission. According to Maris-Tech, onboard AI inference enables satellites to send only actionable insights to Earth, lowering continuous raw-data downlink needs and reducing strain on available bandwidth.

What applications can Maris-Tech (MTEK) Venus-Space support in low Earth orbit?

Venus-Space is designed for Earth observation, remote connectivity, and space-based AI networks. According to Maris-Tech, the platform allows satellites to act as intelligent compute nodes, running complex AI models in orbit for imaging, communications, and other data-intensive space missions.

Why did Maris-Tech (MTEK) develop the Venus-Space edge AI solution?

Maris-Tech developed Venus-Space in response to customer inquiries for advanced onboard processing on space platforms. According to Maris-Tech, growing demand for compact payloads that combine imaging, AI, and edge computing in real-world operational environments drove the move into low Earth orbit applications.