❄️ We wish you a joyful and restful holiday season filled with time to recharge and celebrate. Here's to prosperity and joy for all in the year ahead! Happy holidays from all of us at Rendered.ai!
Rendered.ai
Software Development
SEATTLE, Washington 5,439 followers
The PaaS for generating physics-based Synthetic Data for visible and non-visible computer vision AI/ML applications
About us
Rendered.ai is a platform-as-a-service for data scientists, data engineers, and developers who need to create and deploy unlimited, customized synthetic data generation for machine learning and artificial intelligence workflows, reducing expense, closing gaps, and overcoming bias, security, and privacy issues when compared with the use or acquisition of real-world data. Rendered.ai moves the process of creating and exploiting synthetic data closer to the business need by providing a collaborative environment, samples, and cloud resources to quickly get started defining new data generation channels, creating datasets in high performance compute environments, and providing tools to characterize and catalog existing and synthetic datasets. To try out our hosted PaaS, request access here: https://hubs.li/Q012NcJm0 We offer a flexible subscription business model that allows customers to generate as much data as they want for a flat monthly fee.
- Website
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https://www.rendered.ai
External link for Rendered.ai
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- SEATTLE, Washington
- Type
- Privately Held
- Founded
- 2019
- Specialties
- RADAR simulations, IR Simulations, LiDAR simulations, 3d Models, Procedural generation, Domain transfer, Collaboration, NVIDIA Partner, AI Integrated workflow , Machine Learning, Synthetic Data, Esri Partner, 3D, geospatial, computer vision, computervision, AI, Deep Learning, Simulation, Synthetic Data, SAR, and remote sensing
Products
![Click here to view The Rendered.ai Platform for Synthetic Data Generation]()
The Rendered.ai Platform for Synthetic Data Generation
Data Science & Machine Learning Platforms
Rendered.ai is a platform-as-a-service for data scientists, data engineers, and developers who need to create and deploy unlimited, customized synthetic data generation for machine learning and artificial intelligence workflows, reducing expense, closing gaps, and overcoming bias, security, and privacy issues when compared with the use or acquisition of real-world data. Rendered.ai focuses on capability to generate 100% accurately labeled Computer Vision data for AI training and validation workflows using physics-based simulation. Rendered.ai simulation capability can include visible spectrum, synthetic aperture radar, x-ray, infrared, and much more. Engage with us directly to find out about our subscriptions that include onboarding or find us on the AWS Marketplace!
Locations
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Primary
Get directions
4311 11TH AVE NE STE 512
SEATTLE, Washington 98105, US
Employees at Rendered.ai
Updates
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What are the😠most disruptive obstacles to avoid in developing performant #computervision algorithms? Prepare for the new year with insights from experts at Rendered.ai to help you avoid the data pitfalls that will delay development timelines and increase costs. 👀 Watch "5 Data Pitfalls to Avoid in Computer Vision": https://buff.ly/3ZO151E In this video, you will learn about: 🟢 The top data challenges slowing #innovation in computer vision today 🟢 Solutions helping #datascientists to develop and validate CV models faster 🟢 #Syntheticdata engineering to accelerate the experimentation, training, and validation of vision-based #artificialintelligence and #machinelearning systems in action How can we help? Connect with one of our experts to see how synthetic data engineering and the Rendered.ai platform can give you an advantage in 2025: https://buff.ly/3ZD17JS
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The National Geospatial-Intelligence Agency and Rendered.ai are at the cutting edge of #AI applications in #defense and intelligence. Learn about the next advancements in imagery-based #artificialintelligence in this session from this year's Space Capital Summit, "Big (Geospatial) Data and AI". Watch the full session now: https://lnkd.in/g5yGfgrM.
Artificial intelligence is revolutionizing geospatial data analysis, serving as a cornerstone of innovation within the space economy. At the 2024 Space Capital Summit, we hosted an engaging panel discussion, “Big (Geospatial) Data and AI” featuring Rachael Martin from NGA, Nathan Kundtz from Rendered.ai, with CNBC’s Michael Sheetz as moderator. The session explored the role of synthetic data in enabling next-generation AI applications and how AI is making sense of the vast datasets produced by Earth imaging satellites. Additionally, the panel examined why GEOINT has become the largest market for AI and what this means for the future of geospatial intelligence. Watch the full session here: https://lnkd.in/g5yGfgrM
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The🤯advances in #syntheticdata engineering for different types of #computervision imagery are mindblowing! Download this lookbook and see imagery simulated to closely resemble real-world data collection from different sensor types using the Rendered.ai platform. 📩 Download the Rendered.ai Lookbook: https://buff.ly/3P5lB96 To see more examples of synthetic #SAR, #RGB, hyperspectral, multispectral, #X-ray, #infrared imagery, and full motion video, explore the Rendered.ai #PaaS for yourself! 🧑💻Request trial access: https://buff.ly/3ZYvFqW Rochester Institute of Technology Ansys Quadridox, Inc.
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📰 Linkedin News just released its 7 biggest #AI predictions for 2025! The breakthroughs coming in #artificialintelligence models for practical and predictive use cases and sensor technology to make #robotics more mainstream depend on the availability of large-scale training datasets, #syntheticdata, and advanced #engineering tools. Read all 7 predictions here: https://buff.ly/3OWv6Yr Get an assessment of your data needs to develop performant #computervision models faster in the new year! 💪 Request your no-commitment consultation with a Rendered.ai expert now: https://buff.ly/41DX2rA
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Performant #computervision models can be achieved at⚡breakneck speed with the right stack of technologies in place. Read Rendered.ai's latest Medium blog to discover how the right data engineering tools, #generativeai, and NVIDIA technologies work together to speed up development timelines, reduce costs, and accelerate #innovation in #AI and #ML. 📖 Read our blog: https://buff.ly/49tXyu1 Are you looking for an additional leg up for your computer vision programs in 2025? Connect with one of our experts for a no-commitment consultation for your specific needs: https://buff.ly/3OOtboq!
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🤔 How can you get the latest news in #computervision, #syntheticdata, #artificialintelligence, #machinelearning #innovation? Easy! 📩 Subscribe to the UNSTRUCTURED newsletter and have updates delivered directly to your inbox! https://buff.ly/4feWRWT In this month's edition, we shared: 🔵 News on the successful detection of methane and CO2 emissions by Planet's Tanager-1 constellation sensors, advancing how scientists track environmentally damaging emissions around the globe. 🔵 An end-of-year offer from Rendered.ai for a no-commitment consultation with our team of experts to help you train performant computer vision models faster! 🔵 Insights on using NVIDIA technologies, the Rendered.ai #PaaS, and #generativeAI together to quickly and inexpensively experiment with, train, and validate computer vision models. 🔵 A sampling of the expertise offered by the Rendered.ai team to help you accelerate model training and development for different domains. Read our latest newsletter now to learn more about any of these topics! https://buff.ly/49vUyx4
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The #computervision market is projected to ↗️ grow by 7X in the next 8 years. Think of how much training data is needed to sustain this growth‼️ Learn how to access unlimited and customized #syntheticdata to train performant #AI and #ML systems faster in this quick guide from Rendered.ai. 📩 Download the guide: https://buff.ly/4ffTz5n What are your biggest challenges in training computer vision? Share your use case with our team of experts for a free, no-commitment consultation that will help position you for success in 2025! https://buff.ly/4gtB0Mq
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🌎Just one year ago, Planet built a robust set of synthetic #hyperspectral imagery using the Rendered.ai platform to fast-track the pre-launch testing of their new constellation of emission-detection satellites. Learn how #syntheticdata can be quickly engineered and used to simulate the collection of real imagery before a satellite is even launched: https://buff.ly/49w8hEd Today, Planet's Tanager-1 #satellite #AI successfully detects methane and CO2 plumes from space, presenting a more impactful way of tracking environmentally damaging emissions around the globe. Read more: https://buff.ly/4g4Yqrp Have you hit a wall with insufficient datasets to train a new #computervision sensor pre-deployment? Speak with our experts and map out a project plan to accelerate your progress with synthetic data successfully. 📆 Schedule a time to connect: https://buff.ly/3DgWsFL.
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Training #machinevision🦾to detect every #manufacturing defect is hard. Watch this quick tutorial to see how computer vision developers engineer scalable data to train reliable inspection systems more easily with the Rendered.ai #PaaS. ❇️ Connect with a Rendered.ai expert to get a personalized demo ahead of 2025 planning: https://buff.ly/4f6Mhkm If you have a unique use case #computervision model training, reach out to Rendered.ai before the end of the year. We'll provide a no-commitment consultation to save you significant time, money, and frustration in developing nextgen #artificialintelligence and #ML for binning and sorting, defect and deviation detection, and beyond!