As a resource-constrained company, we devote significant effort to developing smarter AI algorithms that help minimize costs. This focus on efficiency enhances the competitiveness of our AI solutions while also reducing their environmental impact.
Our Hybrid AI approach provides better flexibility by allocating computational resources optimally to specific parts of complex problems. Unlike most generative AI solutions today, which use a consistent level of resources regardless of problem complexity, our approach adjusts resource use based on the specific demands of each task. This differentiation results in significant energy savings, particularly for highly computational problems.
Enterprise-Grade Operational Security
Oxide AI provides multiple deployment options, including managed, on-premise, cloud, and hybrid cloud, to fit diverse operational needs. We collaborate with integration partners IBM and Arrow to deliver security configurations aligned with standards, such as SOC2, NIST CSF, ISO/IEC 27001, and ISO/IEC 27002.