Dronedesk is the most comprehensive and user-friendly drone operations management platform on the market. 98% of reviewers rate us "great" or "excellent" with an NPS of 80!
It brings together all the business admin and flight planning tools you need into a single, secure web application. And, it scales seamlessly for any size of operation from solo pilots through to complex enterprise organisations.
With Dronedesk, you can:
- Stay safe: Plan and execute safe and compliant drone flights with advanced airspace intelligence, street and satellite map layers, and real-time air and ground hazard data.
- Stay compliant: Keep comprehensive records of every aspect of your drone operations, including flight plans, fleet and equipment inventories, and flight logs.
- Save time: No more spreadsheets or document templates, everything is centrally recorded, accessible from any device and available in an instant.
- Save money: Operators like you tell us that, on avaerage, they saved 51 minutes per job since switching to Dronedesk. You can see just how much you'll save with our handy calculator.
- Grow your business: Create quotes and invoices, get access to tender opportunities, and automate lead generation to grow your business
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VKS makes it simple for companies to get rid of paper work instructions and transform into a digital factory. There are many benefits to our visual work instruction solution, including: No need for paper! Digital work instructions can be created with better results. You can reduce your defects up to 95% by performing in-process quality checks. Standardize best practices to increase productivity by 20% You can track your processes 100% with 100% certainty and real-time control. You can accelerate and improve the accuracy of your operational decision making. Capture tribal knowledge to close the skills gap.
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Atlas by World Labs
Atlas represents an advanced omni world model designed for spatial intelligence, seamlessly engaging with text, images, video, and 3D data. As a sophisticated multimodal autoregressive diffusion transformer, it integrates various inputs into a common spatial framework while predicting subsequent elements and ensuring coherence in 3D with its observations and creative visions. This powerful model facilitates world generation, reconstruction, and simulation across diverse applications. It possesses the capability to produce images and videos based on one or multiple reference images, offering precise camera control to yield lengthy and coherent videos following custom-designed camera trajectories. In terms of spatial reconstruction, Atlas excels at reimagining real-world environments from limited input images, allowing it to generate unique perspectives and deliver explicit 3D outputs like point clouds and 3D Gaussian splats. With the addition of more input views, the model can further enhance context, leading to increasingly accurate reconstructions with less reliance on imagination. Furthermore, Atlas also analyzes and predicts the evolution of worlds over time, adding a dynamic layer to its capabilities.
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spAItial
SpAItial is an innovative AI platform dedicated to the creation and implementation of Spatial Foundation Models (SFMs), a groundbreaking category of generative AI systems that excel in generating and interpreting 3D environments while maintaining physical realism and spatial intelligence. Unlike conventional models that independently generate images or text, SpAItial's advanced technology works directly with 3D structures from the beginning, effectively capturing aspects such as geometry, materials, lighting, and physics to create immersive and interactive worlds. Its premier model, Echo-2, possesses the remarkable ability to convert a single image into a fully navigable, photorealistic 3D scene using cutting-edge techniques like Gaussian splatting, which allows users to explore and render environments in real time. This platform is designed with a robust, physically grounded comprehension of space-time, enabling the AI to analyze how objects are situated, interact, and develop within a given environment, eschewing the disjointed outputs typical of traditional generative AI. This innovative methodology not only mitigates the inconsistencies often found in standard generative AI systems but also facilitates a more precise and realistic simulation of environments, paving the way for exciting new applications in virtual reality and beyond.
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