Vigilant Aerospace Systems, Inc.
Oklahoma-based developer of multi-sensor detect-and-avoid software for UAS, commercializing NASA flight safety technologies since 2015.
Vigilant Aerospace Systems, Inc. is a private software company headquartered in Oklahoma City, Oklahoma, founded in 2015. The company focuses on licensing and commercializing NASA flight safety patents to enable safe, scalable autonomous drone operations beyond visual line of sight (BVLOS). Its flagship product family, FlightHorizon, includes TEMPO, PILOT-M, PILOT-C, ALERT, and DEFENDER variants.
FlightHorizon fuses data from aircraft transponders, radar, drone autopilots, and live FAA feeds to build a real-time airspace picture and issue automated avoidance commands. Customers include NASA, the FAA, and the U.S. Department of Defense. The company also provides integration and consulting services.
CEO Kraettli Epperson is a co-inventor of four technology patents and a member of the FAA BVLOS Aviation Rulemaking Committee and ASTM F38 standards committee.
Primary type & automation activities this supplier delivers:
FlightHorizon TEMPO
Multi-sensor detect-and-avoid software platform enabling safe BVLOS drone operations via data fusion from radar, ADS-B, and FAA feeds.
Contact Vigilant Aerospace Systems, Inc.
WEBSITE
https://vigilantaerospace.comPHONE
+1 844-723-3759HEADQUARTERS
United States
Company Facts
Founded
2015
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
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Manufacturers Shift Focus from Data Visibility to Actionable Insights
Manufacturers have invested years in enhancing operational visibility through connected machines and advanced analytics. Despite this, the plant floor continues to struggle with problem resolution due to a disconnect between identifying issues and taking corrective action. For instance, when a machine malfunctions, delays in communication and decision-making can lead to significant downtime and financial losses. This challenge is particularly pressing as manufacturers face tighter profit margins and labor shortages, necessitating more efficient use of existing assets. The traditional approach of merely collecting data is insufficient; manufacturers require technology that translates information into actionable steps. Current manufacturing software primarily records historical data, which does not meet the immediate needs of technicians on the floor. Looking ahead, there is a critical need for manufacturing operations software to evolve beyond data storage and visualization. It should facilitate operational coordination by linking equipment signals with the necessary workflows and resources for timely responses. The focus must shift from visibility alone to enabling decisive action in real-time.
Factory / Digital Transformation
Vention Launches Montreal AI Lab to Enhance Industrial Robotics Capabilities
Vention has inaugurated a physical AI research lab in Montreal aimed at advancing robotic manipulation for manufacturing applications. The lab, directed by Jimmy Li and advised by Joelle Pineau, will leverage industrial data and customer insights to develop scalable robotic systems. With a focus on real-world production challenges, the lab aims to create technologies that enhance reliability and reduce costs in automation. This initiative is significant as Vention's physical AI segment has seen a remarkable 400% revenue increase over the past year, indicating a growing demand for advanced automation solutions. The lab's unique approach integrates academic research with practical production feedback, allowing for rapid development and testing of new robotic systems. This model positions Vention to address complex manufacturing tasks that have traditionally been difficult to automate. Looking ahead, Vention's Montreal lab is expected to expand its team and generate new intellectual property. The company plans to release a public software development kit for its GRIIP manipulation pipeline, which breaks down robotic tasks into manageable stages. No further timeline was disclosed at the time of publication.
AI AI Funding & Investment Robotics Canada.Montreal computer vision industrial robotics
Tactile Sensing Technology Sees Significant Growth in Robotics Sector
Tactile sensing technology is gaining prominence in the robotics industry as humanoid robots transition from exhibition spaces to factory floors. Since 2026, funding in the tactile sensing sector has exceeded 7 billion yuan, with the penetration rate of tactile sensors in commercial humanoid dexterous hands rising from 20% to over 60% this year. This rapid growth is notable within the robotics components sector, highlighting a shift in robotic applications. While visual-language-action models have enhanced robots' environmental understanding and task planning, precision assembly and flexible grasping require tactile feedback for effective force control and slip detection. According to Qianjue Robotics founder Ma Daolin, tactile sensing is essential for high-precision industrial operations. The evolution of technology supports this need, as Qianjue Robotics' VTLA model integrates tactile modalities into traditional frameworks, enabling real-time perception of deformation, texture, and force distribution during contact. Their comprehensive tactile solution expands sensing from fingertips to palms, achieving a sensor density of 125 points per square centimeter and a force accuracy of 0.03 Newtons. As hardware costs decrease and data accumulation accelerates, tactile sensing is becoming a necessary capability in real-world operational scenarios.
Tactile Sensors Humanoid Robots Robotics Technology Industrial Automation
Fanuc and Google Collaborate on AI-Driven Welding Robots for Enhanced Automation
Japanese industrial automation firm Fanuc has partnered with Google to create an AI-automated welding system. This innovative solution utilizes robots equipped with artificial intelligence that can interpret blueprints directly, thus removing the need for manual programming. Deliveries of this advanced system are expected to commence in December 2026. This collaboration is significant as it represents a leap forward in automation technology, potentially streamlining manufacturing processes and improving efficiency in welding tasks. By enabling robots to read blueprints autonomously, Fanuc and Google aim to reduce labor costs and enhance productivity in industrial settings, which is crucial for maintaining competitiveness in the global market. Looking ahead, industry stakeholders should monitor the rollout of this AI-driven welding system, particularly its impact on manufacturing workflows and labor dynamics. The anticipated deliveries in December will be a key milestone, and the performance of these robots in real-world applications will be critical to assessing their effectiveness and adoption in various sectors.
The Need for New Automation Architecture in AI Factories
The rise of AI factories is transforming the landscape of industrial automation, necessitating a new architectural approach. Unlike traditional enterprise data centers, AI factories feature significantly higher rack densities, dynamic workloads, and increased power consumption, with rack-scale systems drawing over 120 kW. This shift requires integrated process control and automation strategies to manage complex cooling and power demands effectively. As AI workloads are highly dynamic, the operational challenges faced by AI factories are distinct from those of conventional data centers. Traditional control architectures are inadequate for the rapid fluctuations in power and cooling needs, leading to alarm flooding and maintenance difficulties. Organizations that adapt to these challenges through innovative strategies will gain a competitive edge in the evolving market. Looking ahead, the execution of AI projects is accelerating, with high investments and the urgency to be first to market. This environment compels project teams to finalize designs concurrently with construction, adapting to ongoing changes in equipment availability and supply chain issues. The successful navigation of these complexities will define the future of AI factory operations.
Vention Launches New Physical AI Lab in Montreal to Enhance Manufacturing Robotics
Vention Inc. has inaugurated its Physical AI Lab in Montreal, focusing on robotic manipulation in manufacturing. This facility aims to generate high-quality data essential for training AI models that control next-generation robots. According to CEO Etienne Lacroix, the lab leverages Vention's extensive experience with hundreds of robot cells to enhance the capabilities of physical AI. The establishment of the lab is significant as it addresses the growing demand for reliable and economical automation solutions in manufacturing. Vention's technology stack, which includes hardware, software, and physical AI, has already been deployed in over 28,000 machines globally, including in 90 of the Fortune 500 companies. The lab's unique approach combines academic research with real-world production challenges, allowing for rapid advancements in AI capabilities. Looking ahead, Vention aims to validate new AI capabilities against the practical requirements of production lines, with a focus on complex manufacturing tasks. No further timeline was disclosed at the time of publication. The integration of industry feedback into the research process is expected to accelerate the development of effective automation solutions.
Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Assembly Automotive Cameras / Imaging / Vision
Inbolt's Robotics Solutions Address Precision Challenges in Electronics Manufacturing
Inbolt is addressing the growing need for automation in electronics manufacturing, particularly in the assembly of complex data center infrastructure. With their control platform, which includes CAD-based programming and real-time control, Inbolt has installed over 200 robot arms across more than 100 factories, powering over 40 million robot cycles last year. The shift towards AI server racks has created a demand for more precise robotic solutions, as traditional manual assembly methods struggle with the complexities of modern electronics. Inbolt's technology aims to increase automation from 20-30% to 90%, focusing on the precision required for tasks like screw driving and cable routing, which are critical in preventing costly errors. As the electronics industry evolves, Inbolt's advancements in robotics will be crucial for meeting the challenges of high-voltage safety and ergonomic handling. The ability to adapt to frequent design changes and maintain high precision will be key factors to watch in the future of electronics assembly automation.
Vention Launches Leading Physical AI Lab in Montreal for Industrial Robotics Advancement
Vention has inaugurated Canada's premier Physical AI and industrial robotics lab in Montreal, aimed at enhancing robotic manipulation through the integration of advanced AI research into scalable manufacturing solutions. This initiative is significant as it focuses on applied manufacturing use cases, industrial data collection, and the development of post-training foundation models for robotics, leveraging existing intellectual property while generating new innovations. Looking ahead, stakeholders should monitor the lab's progress in bridging AI research with practical manufacturing applications. No further timeline was disclosed at the time of publication.
Challenges in Humanoid Robotics: Balancing AI and Hardware Limitations
Andreas Friedrich, Managing Director of Technology & Strategy at Allegro MicroSystems, will present at RoboBusiness on October 20-21 in Santa Clara, focusing on advancements in robotic actuation technology. As humanoid robots evolve, accommodating the necessary hardware for movement becomes increasingly complex due to stringent size and weight constraints. The integration of artificial intelligence has enhanced humanoid robots' ability to perceive their environment and make decisions. However, translating these decisions into smooth and safe physical actions poses significant engineering challenges, especially as these robots transition from prototypes to operational machines that work alongside humans. The ongoing development of AI is crucial, but the physical limitations of humanoid robots will ultimately dictate how effectively this intelligence can be utilized. The shift towards higher voltage power architectures in humanoids illustrates the intricate relationship between electrical and mechanical design, highlighting the need for innovative solutions to overcome these challenges.
Artificial Intelligence / Cognition Design / Development Humanoids News
Productive Robotics Launches Tregaskiss Tough Gun I.C.E. Torch for Blaze Welding Systems
Productive Robotics has unveiled the Tregaskiss Tough Gun I.C.E. (Integrated Cooling Enhancer) torch, designed specifically for its 7-axis Blaze robotic welding systems. This new option aims to mitigate heat-related consumable failures that can occur during automated welding processes with high duty cycles. The introduction of the I.C.E. torch is significant as it addresses a common challenge in robotic welding—overheating of consumables. By enhancing cooling capabilities, Productive Robotics aims to improve the reliability and efficiency of its Blaze systems, which are increasingly utilized in demanding industrial applications. Looking ahead, the adoption of the Tregaskiss Tough Gun I.C.E. torch could lead to broader implementation of Productive Robotics' solutions in sectors requiring robust welding capabilities. No further timeline was disclosed at the time of publication.
China’s Dexterous Hand Industry, 2026 Part 3 — The Players
Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
China’s Dexterous Hand Industry, 2026 Part 1 — The Demand Picture
MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
Software, Compute and Interaction at WRC 2026
47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
WRC 2026 Core Components: 137 Robot Parts Suppliers
The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.
WRC 2026 Robot Systems: 149 Companies That Build Robots
149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.
ROBOTTODAY Weekly August 10 – 14, 2026
Your weekly robotics briefing: Unitree's IPO is swamped by retail demand, the US puts 100% tariffs on imported drones, LG and Nvidia commit to a 2027 humanoid, and Uber and Pony.ai bring 2,000 robotaxis to Europe.
Inside Saga Robotics: UVC Light vs. Crop Disease
Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”
Underactuated Robotics Russ Tedrake — RSF Specialist Shelf · Book S3 of 6
Legged robots fall over for control reasons, not mechanical ones. Tedrake's free MIT 6.832 notes explain why, and what a controller must do about it.
ROBOTTODAY Weekly July 27 – 31, 2026
Your weekly robotics briefing: the US bans imports of Chinese humanoid robots, Google DeepMind unveils Gemini Robotics 2, Unitree pushes toward its Shanghai IPO, and Amazon's Zoox wins approval for paid robotaxi rides.
