Vigilante.us

Vigilante.us

航空防务制造业

Lorena,Texas 850 位关注者

Custom training and simulation games for high-stakes industries

关于我们

Vigilante is a leading software development company specializing in creating custom training and simulation games for high-stakes industries. Our mission is to personally partner with clients to raise the bar on the type of training we can create, ensuring the highest quality and efficiency. By combining customization, advanced technology, comprehensive expertise, a high-quality asset library, strong industry partnerships, and exceptional customer support, Vigilante stands out as a leader in the training software development industry. CORE COMPETENCIES: - AI and LLM expertise: We have experience in integrating AI and LLM technologies into training applications to create advanced, adaptive training environments. - Engineering: Our team is skilled in C++, Unreal Engine, Unity, and Frostbite development for creating cutting-edge training software solutions. - Research & Development: Vigilante invests in R&D to stay at the forefront of technology and provide clients with the best possible training tools. - High-Fidelity Content: We specialize in high-fidelity HLA and DIS-compliant 3D models, MOCAP, and technical art to create realistic and immersive training experiences. - Real-world data integration: Our team is adept at incorporating real-world satellite orbital data, Cesium terrain integration, and whole-world terrain into our simulations.

网站
https://vigilante.us/
所属行业
航空防务制造业
规模
51-200 人
总部
Lorena,Texas
类型
私人持股
领域
Software Development、Virtual Reality Experience、Virtual Reality Games、Unreal Engine、Immersive Technology、C++、Large Language Models、3D Models、Unity 3D、Research and Development、Artificial Intelligence、Defense Technology、Defense Innovation、Defense Industry和VBS

地点

Vigilante.us员工

动态

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????? ????????????????: ???????????? ?? ?????????????? ?????? ???????????????????? ?????? ???????????????? ???? ???????????? ???????????? In this tutorial, we dive into the process of adding realistic suspension to vehicles using Control Rig, enabling more immersive and authentic experiences for training simulations and beyond. Learn how to: ? Set up essential plugins ? Configure vehicle wheels and physics ? Implement suspension using Control Rig and Animation Blueprints Whether you're developing a military vehicle training simulation or looking to enhance your Unreal Engine skills, this tutorial provides valuable insights to help you create more realistic and dynamic vehicle systems. Watch now and elevate your projects with cutting-edge techniques: https://lnkd.in/gBvaQyrx #UnrealEngine #MilitaryTraining #Simulation #ControlRig #VehicleDynamics

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????????????????? ???????????? ??????????????????: ?????????????? ???????? ?????? ???????????? ???????????????? When mission success depends on your team's readiness, every day spent in training matters. What if you could accelerate your timelines and still improve the effectiveness of your training programs? With the USAF Sensor Operator Proof of Concept (PoC) project, we saw how combining immersive, real-time training scenarios with flexible, open-source solutions helped teams prepare faster without sacrificing quality. The result? A proof-of-concept training platform that delivered realistic, mission-critical scenarios in just a few months of development. Here’s what this approach can do for you: - Shorten your training cycles while maintaining high-fidelity simulation experiences. - Sharpen decision-making skills through immersive, real-world scenarios tailored to your needs. - Scale and adapt your training environment as mission demands evolve. By optimizing your training programs, you can reduce preparation time and focus on what matters—mission readiness. Could faster, smarter training help your teams stay ahead?

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????? ?????? ?????????? ???? ???????? ??????????????'?? ?????????????? ?? ?????? ??????????? Our latest tutorial is here to breathe new life into your models! Learn how to enhance your vehicle animations by adding custom bones and connecting them to your skeletal mesh in just a few simple steps. This guide covers everything you need to know, from importing your model to Blender and separating the turret, all within Unreal Engine 5.4. Ready to take your vehicle designs to the next level? ?? Check out the full tutorial now: https://lnkd.in/gMChkFxK #UnrealEngine #Blender #3DModeling #Tutorial

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    Unlock the full potential of your simulation training with high-fidelity content. Creating high-fidelity content for simulations is crucial for effective training. Follow these simplified five steps to get started: 1. Define learning objectives and desired outcomes: Identify what skills, knowledge, and behaviors you want trainees to acquire. 2. Gather accurate and detailed reference materials: Collect real-world data, photographs, and videos to ensure your content is authentic and relevant. 3. Leverage cutting-edge tools and technologies: Utilize photogrammetry, 3D scanning, and game engines like Unreal Engine to create immersive, realistic environments. 4. Collaborate with subject matter experts: Work closely with military personnel, instructors, and other experts to validate your content and ensure it aligns with real-world scenarios. 5. Test and iterate based on user feedback and performance data: Conduct user testing and analyze performance metrics to identify areas for improvement and optimize your content for maximum impact. By following these steps and investing time and resources into high-fidelity content creation, you can develop simulations that effectively prepare trainees for real-world challenges. In summary, creating high-fidelity content for simulations involves defining objectives, gathering references, using advanced tools, collaborating with experts, and testing iteratively. What challenges have you faced when creating high-fidelity content for simulations? Share your experiences in the comments below!

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????? ???????????? ?????????????? ?????????? ???? ????????! Have you ever wondered how to customize a Vigilante vehicle in Unreal Engine using materials and decals? In this step-by-step tutorial, we show you how to: 1. Create new materials and import decals 2. Set up and apply translucent decals 3. Adjust colors and textures to your liking 4. Change the overall vehicle color seamlessly You can watch the full tutorial here: https://lnkd.in/gDsUuC3z Have you customized vehicles in Unreal Engine before? Share your experiences or questions in the comments below. #UnrealEngine #Tutorial #VehicleCustomization

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????? ???? ?????? ???????? ???????????? ?????? ???????????????? ???????????????? ?????? ???????????????? ????????????????? While AI and LLMs offer numerous benefits, they may not be the perfect fit for every training scenario. Implementing these technologies can be costly and time-consuming, requiring significant resources and expertise. Moreover, AI and LLMs are only as good as the data they are trained on, which means biases and inaccuracies in the data can lead to flawed outcomes. There are also concerns about privacy and security when dealing with learner data. As such, it's essential to carefully consider the specific needs and constraints of your training program before investing in AI and LLM-powered solutions. In what situations have you found AI and LLMs to be less effective or practical for training software? #softwaredevelopment, #defensetechnology, #defenseinnovation, #defenseindustry

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ???????? ???? ?????? ???????????? ???? ????????-???????????????? ?????????????? ???? ???????????????? ???????????????? ??????????????????????????? A 2020 study by the U.S. Army Research Institute for the Behavioral and Social Sciences found that a group trained with high-fidelity content demonstrated a 35% improvement in knowledge retention, a 28% increase in skill acquisition, and a 22% reduction in decision-making errors compared to a low-fidelity group (Smith et al., 2020). These findings align with a 2018 study by the Naval Air Warfare Center Training Systems Division, which found that high-fidelity simulations led to a 30% improvement in procedural accuracy and a 25% reduction in training time (Johnson et al., 2018). In other words, real-world data points underscore the importance of investing in high-fidelity content for military simulations to optimize training effectiveness and mission readiness. What data-driven insights have you discovered about the impact of high-fidelity content on learning outcomes? #softwaredevelopment, #defensetechnology, #defenseinnovation, #defenseindustry

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????? ?????????????? ???????????????? ???? ??????! Have you ever wondered how we make our vehicles drivable? In this step-by-step tutorial, we guide you through turning a Vigilante Prop and making it drivable with the help of Unreal Engine's Chaos plugin. https://lnkd.in/gnMJcUrM Don't miss out on more tips, tricks, and tutorials! Subscribe to the channel for future updates and keep creating with Unreal Engine. #UnrealEngine #softwaredevelopment #defensetechnology #defenseinnovation #defenseindustry

  • 查看Vigilante.us的公司主页,图片

    850 位关注者

    ?????? ?????????? ?????????????? ???????????????? ???? ??????! One of the most common questions we get is how to import a 4.27 Vigilante vehicle into a Unreal Engine project running on version 5.0+. In this step-by-step tutorial, we guide you through the process of adding a version 4.27 Vigilante asset from the Unreal Engine Marketplace into a 5.0 project. Whether working with an older 4.27 Unreal version or the latest 5.0 Unreal project, this video ensures you can add these assets to elevate your training simulations. https://lnkd.in/gQiEcHFP Don't miss out on more tips, tricks, and tutorials! Subscribe to the channel for future updates and keep creating with Unreal Engine. #UnrealEngine #softwaredevelopment #defensetechnology #defenseinnovation #defenseindustry

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