Reduce GPU dependency
A non-CUDA, CPU-first architecture that can target desktop systems, compact servers, edge devices, and data centers.
A.U.R.O.R.A. is CIVET's compute-efficient AI framework for customizable language, vision, multimodal reasoning, and agentic systems. It is designed to reduce dependence on GPU-heavy architectures while remaining flexible across sectors and deployment environments.
A.U.R.O.R.A. is designed for organizations that need AI to be sovereign, affordable, adaptable, and deployable across real infrastructure, from edge devices to enterprise systems.
A.U.R.O.R.A. combines symbolic reasoning, neural computation, sparse representations, and reinforcement-based reorganization so it can be shaped into language, vision, multimodal, and agentic systems without depending on a single deployment pattern.
A non-CUDA, CPU-first architecture that can target desktop systems, compact servers, edge devices, and data centers.
Reinforcement-based reorganization helps the system adjust behavior from outcomes, utility, reward, and domain-specific signals.
Language, vision, multimodal reasoning, and agentic workflows can be shaped for education, healthcare, agriculture, enterprise, governance, and skilling.
We are opening limited research-preview access for selected collaborators, institutions, and technical evaluators who want to explore how A.U.R.O.R.A. can be shaped into trainable, routed, and adaptive AI systems.
Enter Research PreviewA.U.R.O.R.A. is a versatile, neuro-symbolic AI framework designed to provide customisable AI solutions across diverse sectors. Its multi-modal architecture processes and integrates text, images, and audio to solve complex real-world problems.
Unlike classical deep learning architectures, A.U.R.O.R.A. circumvents the compute overhead of Stochastic Gradient Descent — enabling deployment on X64, X86, and ARM-based CPU environments without any GPU dependency.
Dive into the technology →Combines neural pattern recognition with symbolic reasoning — no backpropagation required. Weight updates happen through alternative token prediction techniques, not SGD.
Train and run inference entirely on CPU — X64, X86, or ARM. Deploy on a Raspberry Pi, a desktop, or scale across enterprise datacentres without CUDA overhead.
Achieves ultra-low inference footprint through dynamic model sparsity, allowing A.U.R.O.R.A. to run complex reasoning tasks in memory-constrained environments.
Operates standalone as SLM/LLM, computer vision, or agentic orchestration — or hybridised with industry-leading AI frameworks for maximum flexibility.
Deploy AI-driven diagnostics in clinics and remote areas with no GPU infrastructure. Real-time image analysis and symptom reasoning on commodity hardware.
Personalised curricula that adapt in real time to individual learner profiles — without cloud latency or data privacy concerns.
Voice and text assistants for farmers operating in low-bandwidth, rural environments. Crop intelligence, pest alerts, and market insights — offline capable.
Real-time perception and decision frameworks for autonomous systems — running on embedded ARM processors without the weight of GPU inference engines.
Intelligent data pipelines, anomaly detection, and automated reporting — deployable entirely on existing CPU infrastructure within your organisation.
Time-series forecasting and risk modelling that adapts continuously without retraining cycles — powered by A.U.R.O.R.A.'s dynamic neuro-symbolic update mechanism.
the cost of traditional deep learning
No cloud GPU bills. No CUDA dependencies. Run training on a laptop or a cluster of Raspberry Pis.
ARM-native inference means A.U.R.O.R.A. runs on IoT devices, embedded systems, and air-gapped environments.
Parallelise across datacentre CPUs for enterprise workloads that require a fraction of hardware overhead vs. transformers or diffusion models.
Whether you're an individual developer or a Fortune 500 enterprise — A.U.R.O.R.A.'s pricing model makes custom AI economically viable for everyone.
Whether you're exploring a proof-of-concept or ready to deploy at scale — our team is ready to engineer a solution tailored to your requirements.