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Agentic AI platforms are rapidly reshaping how organisations build, deploy, and scale intelligent systems across different environments.
Whether you’re a startup looking for speed, an enterprise managing complex data sovereignty requirements, or a global company scaling innovation, our agentic AI platforms provide the flexibility and control to match your environment.
At Octoglo, we’ve architected three core deployment models: SaaS, Cloud and Enterprise, each tailored to meet the unique operational, security, and scalability needs of modern businesses.
Octoglo SaaS is designed for maximum speed-to-value.
Fully managed and hosted by our SaaS Partners, it allows customers to launch powerful AI agents with zero infrastructure overhead. It’s ideal for teams that want to iterate fast, integrate with popular tools, and benefit from seamless updates and enterprise-grade security. From automated workflows to intelligent decision-making agents, users can deploy capabilities within minutes—backed by scalable compute, robust analytics, and rich API ecosystems.
For organisations with more customized requirements, Octoglo Cloud Agentic offers the same capabilities but within your own cloud environment.
This model provides greater flexibility, governance, and integration control while maintaining the scalability and ease of deployment that cloud-native infrastructure offers. It’s a fit for companies operating in regulated industries or those with hybrid architecture strategies, enabling closer alignment with internal IT policies and data management protocols while still benefiting from Octoglo's agentic intelligence core.
Octoglo Enterprise is built for organisations that demand full control, compliance, and data sovereignty.
Delivered within your own infrastructure, this deployment allows you to harness the power of agentic AI while adhering to strict internal policies and governance, often required in sectors like defense, finance, or healthcare. We provide full lifecycle support from installation and customisation to training and optimisation ensuring your in-house AI agents can securely process sensitive data, integrate with legacy systems, and operate autonomously behind the firewall. This model represents the ultimate in control, resilience, and enterprise readiness.
