Kestron AI helps US and UK SaaS companies build and run secure, scalable and cost-efficient AI infrastructure and DevOps on AWS.
We work with Series A and B teams that do not have a dedicated platform or DevOps engineer. Every engagement is led by a senior engineer, everything is built as code, and your team keeps full ownership of accounts, code and documentation.
Services: AI Infrastructure Assessment (fixed price, 2 weeks), Amazon Bedrock and RAG production builds, managed DevOps and platform reliability, Kubernetes (EKS), CI/CD and Terraform, DevSecOps and SOC 2 readiness, and cloud cost optimization.
Pricing is transparent: assessments from $5,000 and monthly plans from $6,000. We overlap daily with US Eastern and UK hours.
Kestron AI helps US and UK SaaS companies build and run secure, scalable and cost-efficient AI infrastructure and DevOps on AWS.
We work with Series A and B teams that do not have a dedicated platform or DevOps engineer. Every engagement is led by a senior engineer, everything is built as code, and your team keeps full ownership of accounts, code and documentation.
Services: AI Infrastructure Assessment (fixed price, 2 weeks), Amazon Bedrock and RAG production builds, managed DevOps and platform reliability, Kubernetes (EKS), CI/CD and Terraform, DevSecOps and SOC 2 readiness, and cloud cost optimization.
Pricing is transparent: assessments from $5,000 and monthly plans from $6,000. We overlap daily with US Eastern and UK hours.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
We start with a 30-minute discovery call, then get read-only access to your cloud, repositories and monitoring. We review the current setup, costs, risks and goals, and confirm requirements in a short written scope with clear deliverables, timeline and price before any work begins.
How do you ensure alignment with client goals and business strategy?
Every recommendation is tied to a business outcome: faster releases, lower cloud and LLM costs, better uptime or passing a security
review. We agree priorities with your CTO or founder up front and review them monthly, so infrastructure work always supports the
product roadmap.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
Agile, in short iterations. Work is tracked in your tools (Jira, Linear or GitHub Projects), delivered in small, reviewed changes, and every infrastructure change goes through pull requests and infrastructure as code (Terraform).
How do you keep clients and stakeholders updated on project progress?
A shared Slack channel for day-to-day questions, a written weekly update covering what was done, what is next and any risks, and all changes visible in your Git repositories.
How frequently do you hold check-in meetings or status updates?
A weekly 30-minute check-in during projects, and a monthly architecture and cost review on retainers. Urgent issues are handled the same day over Slack.
What quality assurance practices do you follow?
All changes are made as code and peer-reviewed through pull requests. We test in staging before production, use automated checks in CI/CD (linting, security scans, Terraform plan review), and roll out with safe deployment and rollback steps.
How do you identify and manage project risks?
We list risks during the assessment, rank them by impact and likelihood, and agree mitigations with you. Production changes are planned with backups, staged rollouts and rollback plans, and risks are reviewed in every weekly update.
What kind of support or maintenance do you offer after delivery?
Every project ends with documentation, runbooks and a handover session, so your team can run the system. For ongoing support, monthly plans cover monitoring, incident response, cost reviews and continuous improvements, with 30 days notice to cancel.