Supercharge your ML workflows with RCL.
Random Contrast Learning (RCL™) streamlines AI model creation – delivering state-of-the-art accuracy and rapid training on CPUs. RCL runs natively on Windows and leading Linux distributions, so you can build, iterate, and deploy directly within the environments your data science workflows already use.
PrismRCL’s Release 2.7.0 – Now Supporting Linux
Our CPU-optimized ML engine now installs in minutes on Ubuntu 22/24, RHEL 9/10, and Fedora 42 – no GPUs, no proprietary run times. Train high-accuracy models directly from the command line and explore LLM training mode and Auto-Optimize 2.5+.
Free for 30 days.
RCL x GPT-4o ChatBot
By leveraging OpenAI’s GPT-4o API, we’ve created a prototype chatbot to allow an accessible window into the capabilities of RCL, inviting you to explore its potential in an intuitive, conversational format.
Latest Updates
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Lumina AI’s Vision: Building A Futuristic Technology
What’s driving innovation and efficiency across industries today? The integration of machine learning models into everyday workflows. However, many teams are discovering that developing and implementing AI has become more costly, opaque, and resource intensive as...
RCL and Energy Efficiency: A Sustainability Win
Achieving sustainable development depends on increasing energy efficiency as the world's energy demand and environmental consciousness rise. The need for intelligent systems is growing in many industries, from financial forecasts to medical diagnostics. However, this...
How RCL® Powers the Next Generation of Resilient AI Systems?
AI-powered solutions are reshaping the way businesses operate. As organizations become increasingly dependent on these technologies, the reliability and flexibility of AI systems have become essential. Today, it's not enough for AI to work; instead, it needs to keep...
Work with Lumina AI
RCL promises to advance AI and to expand its related markets as we improve existing AI workflows by replacing neural networks employed for classification, thereby reducing capital expenditure and increasing accuracy.
As CPU resources remain accessible, we believe that Random Contrast Learning will allow for a new market for AI and machine learning – enterprises without access to the capital or resources to build an AI practice.
For enterprises interested in deploying Random Contrast Learning at scale, please contact us for additional information.