Radium
Founded Year
2019Stage
Incubator/Accelerator | AliveMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+286 points in the past 30 days
About Radium
Radium focuses on machine learning and operates in the cloud computing domain. The company offers a cloud-based platform, Launchpad, which provides advanced machine learning development tools and software, aiming to reduce the time and computing costs associated with developing machine learning workloads. It primarily serves the machine learning and data science sectors. The company was founded in 2019 and is based in Toronto, Canada.
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Radium's Products & Differentiators
Launchpad
Train your models up to 50% faster.
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Latest Radium News
Aug 7, 2025
LAS VEGAS--(BUSINESS WIRE)--Realbotix Corp. (TSX-V: XBOT) (Frankfurt: 76M0.F) (OTC: XBOTF) (“Realbotix” or the “Company”), a leader in AI-powered humanoid robotics, is collaborating with Radium to scale its emotionally intelligent AI applications using Radium’s serverless inference platform to deliver lightning-fast conversations for its next-generation robotic companions. As AI companions become more integrated into everyday technology, emotional responsiveness is emerging as a key factor in u
Radium Frequently Asked Questions (FAQ)
When was Radium founded?
Radium was founded in 2019.
Where is Radium's headquarters?
Radium's headquarters is located at 112 College Street, Toronto.
What is Radium's latest funding round?
Radium's latest funding round is Incubator/Accelerator.
Who are the investors of Radium?
Investors of Radium include 5G Open Innovation Lab.
Who are Radium's competitors?
Competitors of Radium include Lambda and 4 more.
What products does Radium offer?
Radium's products include Launchpad and 2 more.
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Compare Radium to Competitors
Lambda provides graphics processing unit (GPU) compute for artificial intelligence within the cloud computing industry. The company offers GPU instances and clusters for AI training and inference, as well as GPU cloud infrastructure. Lambda also offers Kubernetes services, inference endpoints, an application programming interface, and NVIDIA GPU workstations and desktops for deep learning applications. Lambda was formerly known as Lambda Labs. It was founded in 2012 and is based in San Jose, California.
Arc Compute specializes in the optimization of GPU resources within the technology sector. The company offers solutions for GPU infrastructure, including servers and cloud instances, that aim to maximize GPU utilization and performance, thereby increasing throughput and improving overall performance. Arc Compute primarily serves organizations in the AI industry. It was founded in 2020 and is based in Toronto, Canada.
io.net focuses on providing artificial intelligence (AI) solutions. The company offers a platform to harness global graphics processing unit (GPU) resources to provide computing power for AI startups, allowing users to create and deploy clusters for machine learning applications. It primarily serves the AI development and cloud computing industries. io.net was formerly known as Antbit. It was founded in 2022 and is based in New York, New York.
Crusoe provides artificial intelligence (AI) cloud computing services in the tech industry. Its offerings include infrastructure for AI exploration, large-scale model training, and scalable AI inference. It's Crusoe Cloud is available for developers and enterprises looking for AI computing resources. It was founded in 2018 and is based in Denver, Colorado.
The Cloud Minders specializes in scalable GPU cloud computing solutions for the AI and machine learning sectors. It offers supercomputing services designed to accelerate AI training and optimize AI inference, catering to innovators and researchers. The company was founded in 2021 and is based in Atlanta, Georgia.
FluidStack specializes in GPU cloud services for artificial intelligence and large language model training. It offers on-demand access to thousands of interconnected NVIDIA GPUs and the ability to reserve large-scale GPU clusters. Its services cater to the needs of AI startups and enterprises requiring extensive computational resources for AI model training and inference. It was founded in 2017 and is based in London, United Kingdom.
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