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

(Moderate)
(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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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.

News Market Reaction – MTEK

-5.65% 86.2x vol
26 alerts
-5.65% News Effect
+66.4% Peak Tracked
-26.6% Trough Tracked
-$720K Valuation Impact
$12.03M Market Cap
86.2x Rel. Volume

On the day this news was published, MTEK declined 5.65%, reflecting a notable negative market reaction. Argus tracked a peak move of +66.4% during that session. Argus tracked a trough of -26.6% from its starting point during tracking. Our momentum scanner triggered 26 alerts that day, indicating elevated trading interest and price volatility. This price movement removed approximately $720K from the company's valuation, bringing the market cap to $12.03M at that time. Trading volume was exceptionally heavy at 86.2x the daily average, suggesting significant selling pressure.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved -5.7% in the session following this news. A negative reaction despite a technologica...
Analysis

The stock moved -5.7% in the session following this news. A negative reaction despite a technologically significant product extension would fit prior patterns where AI-focused announcements averaged about -1.14% in next-day performance and often sold off. The presence of an effective F-3 shelf for up to $100,000,000 and prior ATM activity may keep funding and dilution risk in focus, so future price behavior could continue to hinge on execution and contract visibility rather than product unveilings alone.

Key Figures

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

Previous AI Reports

5 past events · Latest: May 26 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h 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.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

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.

Key Terms

low earth orbit, edge computing, cloud-to-edge computing, field-programmable gate array, +4 more
8 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.
cloud-to-edge computing technical
"As the space industry moves toward cloud-to-edge computing architectures"
Cloud-to-edge computing is a way of splitting computing work between powerful remote data centers (the cloud) and smaller processors located near users or devices (the edge). Think of it like a central kitchen preparing bulk ingredients while local food trucks finish and serve orders quickly — this reduces delays, lowers data-transport costs, and improves reliability and privacy. Investors care because it can enable new products, cut operating expenses, and create competitive advantage in latency-sensitive or bandwidth-heavy markets.
field-programmable gate array technical
"upgraded version of the Company’s field-programmable gate array-based Venus-Pro"
A field-programmable gate array (FPGA) is a computer chip whose internal wiring can be reconfigured after manufacturing to perform different digital tasks, from signal processing to running parts of machine-learning models. Investors care because FPGAs let companies upgrade products and respond to new needs without making new chips, offering flexibility, faster time-to-market and potential recurring revenue—like a toolbox that can be reshaped to build different gadgets as demand shifts.
onboard ai inference technical
"Onboard AI Inference: Leveraging advanced AI acceleration, the platform allows"
Onboard AI inference is the process of running a trained artificial intelligence model directly on a device or local system instead of sending data to remote servers for processing. For investors, it matters because it can cut ongoing cloud costs, speed up responses, reduce data-sharing risks and enable products to work offline—traits that can improve user experience, lower operating expenses and become a competitive advantage affecting revenue and margins.
nano satellites technical
"designed specifically for low earth orbit (“LEO”) nano satellites."
Nano satellites are very small artificial satellites, typically weighing a few kilograms, that perform tasks like communications, imaging, or sensing from low Earth orbit. They matter to investors because their low cost and faster build-and-launch cycle let companies scale services quickly—think of many small delivery vans replacing one big truck—creating new revenue streams and spreading risk, while also exposing firms to rapid technological turnover and launch-market competition.
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. How Rhea-AI works. 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.