Cloud-Ready from Day One: How We Helped Team-GPT Prepare for Enterprise Scale

Team-GPT helps marketing teams scale on-brand content with generative AI powered by their own data. Trusted by leaders like Salesforce and Maersk, the platform grew fast, bringing new demands for security, reliability, and scalability. To meet enterprise expectations without losing agility, Team-GPT partnered with Several Clouds to build a robust, multi-tenant AWS foundation.

The Opportunity

This project was a key step in helping Team-GPT scale into an enterprise-grade, multi-tenant SaaS platform. By working with Several Clouds, they built a secure solution on the AWS cloud, featuring full environment isolation, end-to-end deployment cycle, and integrated security monitoring and threat-detection capabilities. The result is a scalable, compliant, and low-ops environment that accelerates client onboarding, simplifies operations, and supports rapid growth - all while keeping developers focused on building great features.

Our Approach

Several Clouds took a security-first, automation-driven approach to assist Team-GPT in building a scalable, enterprise-ready platform on AWS. They began by designing a multi-account strategy centred on a unified governance framework, isolating core services for policy enforcement and tenant separation. From day one, comprehensive threat detection and continuous security monitoring were embedded alongside strict identity and access controls to ensure a solid security posture.

Several Clouds defined baseline processes and adopted a fully serverless architecture to comply with Team-GPT’s security requirements. The solution utilizes container-orchestrated compute for flexible workload handling, a resilient data layer, and a centralized security control plane - each built for automatic, policy-driven scaling.

They outlined and automated infrastructure deployment with infrastructure-as-code templates, providing consistent provisioning.

Building on that foundation, the solution includes centrally managed backup and disaster-recovery processes, unified observability through a single dashboard, and comprehensive alerting across performance, cost, and security metrics, resulting in a resilient, low-ops foundation primed for compliant enterprise growth.

Results & Benefits

New enterprise tenants can be onboarded within hours.

Building on their existing secure foundation and in close collaboration as a team, Team-GPT now has a well-architected, enterprise-grade SaaS solution on AWS that meets security and compliance requirements with minimal operational effort.

About the Partner

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At Several Clouds, the team is passionate about the public cloud and the DevOps culture and practices. The company assists in modernizing legacy systems and does cloud migrations to achieve more secure, adaptive, and cost-effective environments.

Several Clouds’ AWS architects all possess deep knowledge and extensive experience throughout the full cycle of building business cases, planning, architecting, implementation, and building playbooks and runbooks to help customers with:

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• Cloud adoption and migrations
• Cloud training and talent transformation
• Building secure and compliant cloud environments
• Implementing DevOps and DevSecOps practices
• Cost Optimization and FinOps
• Generative AI, Machine Learning, and Big Data
• Serverless and Cloud-Native Development

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