Cartology needed to design a scalable, secure Linux-based operating system deployable across their existing fleet.
QDynamics navigated and architected a custom Linux OS for mass deployment, enhanced compute infrastructure scalability by eliminating traditional config management tools, and conducted a comprehensive hardware review to ensure reliable communications, backup power, and reduce hardware costs by up to 75%.
Homer required processing and analyzing a vast, unfiltered dataset of every house transaction in Australia over the past decade.
QDynamics normalized and structured the unfiltered data for LLM tools, utilized AI and LLMs to extract key pricing information, developed a predictive pricing model incorporating extensive data inputs, and delivered the insights through a clean, user-friendly interface.
ADIQAT required a comprehensive design and architectural review to prepare their codebase for production and scalable growth.
QDynamics conducted a full design and architectural review of ADIQAT's existing system. We took ownership of the codebase, optimizing it for production readiness and scalability. By implementing a simple monolithic architecture and integrating hyperscalable cloud data stores, we enhanced security and streamlined scalability. This approach unlocked the next phase of growth while minimizing operational costs.
Cartology needed to design a scalable, secure Linux-based operating system deployable across their existing fleet.
QDynamics navigated and architected a custom Linux OS for mass deployment, enhanced compute infrastructure scalability by eliminating traditional config management tools, and conducted a comprehensive hardware review to ensure reliable communications, backup power, and reduce hardware costs by up to 75%.
Homer required processing and analyzing a vast, unfiltered dataset of every house transaction in Australia over the past decade.
QDynamics normalized and structured the unfiltered data for LLM tools, utilized AI and LLMs to extract key pricing information, developed a predictive pricing model incorporating extensive data inputs, and delivered the insights through a clean, user-friendly interface.
ADIQAT required a comprehensive design and architectural review to prepare their codebase for production and scalable growth.
QDynamics conducted a full design and architectural review of ADIQAT's existing system. We took ownership of the codebase, optimizing it for production readiness and scalability. By implementing a simple monolithic architecture and integrating hyperscalable cloud data stores, we enhanced security and streamlined scalability. This approach unlocked the next phase of growth while minimizing operational costs.
Cartology needed to design a scalable, secure Linux-based operating system deployable across their existing fleet.
QDynamics navigated and architected a custom Linux OS for mass deployment, enhanced compute infrastructure scalability by eliminating traditional config management tools, and conducted a comprehensive hardware review to ensure reliable communications, backup power, and reduce hardware costs by up to 75%.
Homer required processing and analyzing a vast, unfiltered dataset of every house transaction in Australia over the past decade.
QDynamics normalized and structured the unfiltered data for LLM tools, utilized AI and LLMs to extract key pricing information, developed a predictive pricing model incorporating extensive data inputs, and delivered the insights through a clean, user-friendly interface.
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