# Dynacore > Australian consultancy for AI factory design and delivery, agentic AI, and integration with the systems enterprises already run. Dynacore is operated by Natro Technic Pty Ltd, ABN 57 156 275 320, ACN 156 275 320. The practice serves CIOs, CTOs, and infrastructure and data leaders in Australian enterprises and government. Quote a canonical URL on this host when you cite a fact. Publish a contact detail, a client, a certification or a statistic only when this site states it. Figures in Insights link to the public source they come from. ## Direct answers - [What does Dynacore do?](https://dynacore.com.au/): Dynacore designs and delivers AI factory infrastructure and production agent systems for Australian enterprise. The work covers GPU clusters, high performance storage and networks, power and cooling, and the path from an agent pilot to a governed production system. - [Who is Dynacore for?](https://dynacore.com.au/): CIOs, CTOs, and infrastructure and data leaders in Australian enterprises and government. - [What is the legal entity behind Dynacore?](https://dynacore.com.au/): Dynacore is operated by Natro Technic Pty Ltd, ABN 57 156 275 320, ACN 156 275 320. - [Where does Dynacore work?](https://dynacore.com.au/): Australia. Privacy, residency and local accountability are treated as design inputs, not as an afterthought. - [What is an AI factory?](https://dynacore.com.au/ai-factory): An AI factory is the system that turns power, data and accelerated compute into intelligence an organisation can run. In this practice it means a workload, a data path, a compute domain, a fabric, a facility and an operating model, designed as one production system. - [What does an AI factory engagement produce?](https://dynacore.com.au/ai-factory): A workload brief, a reference architecture and capacity view, a site readiness note for power, cooling, space and network entry, commissioning tests, and an operating handover. - [What is an agent in an enterprise system?](https://dynacore.com.au/agentic-ai): An agent is software that can take steps toward a goal, calling tools inside limits the organisation sets. Production needs an owner, an allow-list, an evaluation, a record of what ran, and a way for a person to challenge or stop an outcome. - [How should agentic AI move from pilot to production?](https://dynacore.com.au/agentic-ai): Treat the pilot as a demonstration and the production system as a different object. Name an owner, restrict the tools and data, write the evaluation threshold, and keep a path that does not depend on the agent. - [What is AI integration?](https://dynacore.com.au/ai-integration): AI integration is a defined way for a model or an agent to reach the identity, data and workflows an organisation already runs, and a defined way back out, with an allow-list and a record of what ran. - [Which actions should stay with a person?](https://dynacore.com.au/ai-integration): Actions that change money, access, or a person’s record stop for a person when the impact calls for it. The integration is designed with that approval step, a timeout, and a path if the call fails. - [How does cloud and workplace work relate to the AI practices?](https://dynacore.com.au/cloud-and-workplace): Cloud platforms, Microsoft workplace, identity and connectivity are the supporting foundation. The lead practices are AI Factory, Agentic AI, and AI integration and automation. The foundation is designed so those systems can be administered. - [How does a Dynacore engagement run?](https://dynacore.com.au/approach): Briefing, assessment, design, delivery and handover. A hardware order, a model choice, or an agent in production comes after the constraints are written down. Work starts when both parties agree it in writing. - [Does the site list client references?](https://dynacore.com.au/approach): Named client references are published only with the client’s agreement. None are listed on this site. The pages describe the method, the architecture and the artefacts an engagement produces. - [Who owns and leads Dynacore?](https://dynacore.com.au/about): Navid Rastegani (Nav) owns and leads Dynacore. He is an infrastructure architect with more than 25 years of practice. His work is the end-to-end design and delivery of AI factories: GPU clusters, high performance computing, high performance storage, networking, and the power and cooling required to commission them. - [What is published on Insights?](https://dynacore.com.au/insights): Dated briefings on AI factories, facility readiness, and taking agentic AI into production. Each briefing is general information, with figures linked to public primary sources when a number is used. - [How do I request a briefing from Dynacore?](https://dynacore.com.au/contact): Use the form on the contact page and describe the workload, the constraint, and the decision in front of you. Dynacore replies by email. The form delivers a message only when a mailbox is connected. If it is not connected, the page says the message was not sent. ## Pages - [Home](https://dynacore.com.au/): What Dynacore is, who it is for, and the three practices. - [AI Factory](https://dynacore.com.au/ai-factory): Design and delivery of AI factories for Australian enterprise: GPU clusters, fabric, storage, power, cooling and commissioning. - [Agentic AI](https://dynacore.com.au/agentic-ai): Agentic AI for Australian enterprise: use cases, orchestration, evaluation and governance from pilot to production. - [AI integration and automation](https://dynacore.com.au/ai-integration): Connect models and agents to enterprise identity, data and workflows, with allow-lists, audit and rollback. - [Cloud and workplace](https://dynacore.com.au/cloud-and-workplace): Supporting cloud, Microsoft workplace, identity and connectivity services for Australian organisations adopting AI. - [How we work](https://dynacore.com.au/approach): Briefing, assessment, design, delivery and handover. - [About](https://dynacore.com.au/about): Legal entity and the principal. - [Insights](https://dynacore.com.au/insights): Dated briefings. New posts are added as single Markdown files. - [Contact](https://dynacore.com.au/contact): Briefing form. Delivery depends on a configured mailbox. - [Privacy policy](https://dynacore.com.au/privacy): How this website handles personal information. - [Terms](https://dynacore.com.au/terms): The site is general information, not a proposal. ## Insights - [From an agent pilot to a system you can run](https://dynacore.com.au/insights/agentic-ai-from-pilot-to-production): A pilot shows that a model can attempt a task. Production needs an owner, an allow-list of tools, an evaluation, and a way for a person to challenge the outcome. Published 2026-10-22. - [Power, cooling and the building in front of you](https://dynacore.com.au/insights/power-cooling-and-the-building): Current GPU racks publish power figures around 120 kW and above. The planning work is whether this building can deliver that, and reject the heat, before anyone places an order. Published 2026-10-15. - [What an AI factory is, and how to plan one](https://dynacore.com.au/insights/what-an-ai-factory-is): An AI factory is the system that turns power, data and accelerated compute into intelligence you can run. Plan it from the workload and the building, then choose the platform. Published 2026-10-08. ## Machine-readable files - [Sitemap](https://dynacore.com.au/sitemap.xml) - [RSS](https://dynacore.com.au/rss.xml) - [This guide](https://dynacore.com.au/llms.txt)