Built by practitioners,
for practitioners.
DeployPilot AI is an AI-powered DevOps assistant that helps engineers ship faster and safer. We analyze Kubernetes manifests, Terraform code, Dockerfiles, CI/CD pipelines, and production logs — detecting issues, security risks, and optimization opportunities in seconds.
Founded in 2026, DeployPilot AI was born from a simple frustration: every DevOps team reviews the same misconfigurations over and over — missing resource limits, hardcoded secrets, unpinned providers, root containers. We built an AI engine that catches these issues instantly, so engineers can focus on shipping features instead of debugging configs.
Our founding team brings deep hands-on experience building and operating production infrastructure on AWS — from EKS clusters and Terraform modules to CI/CD pipelines and observability stacks. We've seen what breaks in production, and we built DeployPilot to prevent it.
Our Mission
Make production-grade DevOps practices accessible to every engineering team — from solo developers to enterprise platform teams. No more shipping misconfigurations to production.
Our Stack
DeployPilot AI is built entirely on AWS:
- AWS EC2 / ECS for application hosting
- AWS RDS (PostgreSQL) for user and analysis data
- AWS S3 for file storage and static assets
- AWS CloudFront for global content delivery
- AWS Bedrock (planned) for AI model inference at scale
- AWS SES for transactional emails
- AWS CloudWatch for monitoring and alerting
- Docker + Gunicorn for containerized deployment
Team
DevOps engineer and AWS specialist based in Hyderabad, India. Previously built and operated production Kubernetes platforms, CI/CD systems, and cloud infrastructure for enterprise clients. Now focused full-time on making DevOps best practices automated and accessible through AI.
Contact
Email: deploypilotai@gmail.com
Location: Hyderabad, India
DeployPilot AI · Founded 2026 · Hyderabad, India