We build AI FinOps and optimisation software that reduces unnecessary compute, keeps data under your control and adapts to the work your business does.
Go Local AI started with a simple belief: businesses should be able to use AI without giving up control of their data, accepting unpredictable costs or ignoring the resources it uses.
We build a platform to make those choices practical, not just principles on a page.
Athena is an AI architect with experience consulting on, designing and implementing AI systems for businesses, specialising in open-weight models, private AI deployments and AI infrastructure.
She leads product, infrastructure and commercial development at Go Local AI, bringing together model evaluation, deployment architecture and client requirements to build practical, secure and cost-efficient AI systems.
LinkedInMaya is an architect with a focus on sustainability, technology integration and design-led problem solving. She leads design, sustainability and technical development, helping shape how the platform measures environmental impact, communicates complex infrastructure decisions and fits into real organisations. Her work brings a systems-thinking approach to making AI more efficient, responsible and usable.
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