Document AI pipeline: Web app, API Gateway, Amazon S3, Amazon Textract, AWS Lambda, Amazon Bedrock, Amazon DynamoDB, with Amazon Cognito, AWS KMS, Dead-letter path, AWS CloudTrail, CloudWatch, AI action log.
AWS, done properly.
We design, migrate, secure and run AWS for growing companies, keep the bill in check, and take generative AI features from pilot to production.
symptom / fix
Seven AWS problems, traced to the fix.
Teams rarely arrive with a shopping list. They arrive with a bill that keeps climbing, a server that falls over on sale days or a security review they cannot pass. Find yours: each row links to how we fix it.
- Our AWS bill keeps climbing.Cloud Cost OptimizationManaged Cloud Support
- We're stuck on legacy infrastructure.Migration & ModernizationCloud Architecture
- Our infrastructure won't survive the next growth spike.Cloud ArchitectureApplication Hosting
- We need to pass a security review.Security & Compliance
- We want AI in our product, not a demo.Generative AISoftware Development
- We're a startup setting up on AWS.AWS Funding SupportCloud Architecture
- Nobody on our team owns infrastructure.Managed Cloud Support
services / 9 practices
Landing zone to operations.
Architecture, migration, security, cost and generative AI on AWS, delivered as Terraform in your repos by engineers who can stay on to run it, or hand it over. Take one practice or the whole stack.
All servicesLanding zones, migrations and generative AI on Bedrock
- Cloud ArchitectureMulti-account landing zone, VPC design and Terraform modules, reviewed against the six Well-Architected pillars.AWS Control TowerVPCEC2Route 53
- Migration & ModernizationPhased moves with AWS Application Migration Service (MGN) and AWS DMS: replicate, cut over in a short window, with a tested rollback plan for each step.AWS MGNAWS DMSRDSECS
- Generative AIRetrieval over your own data on Amazon Bedrock, with guardrails, evals and per-request cost tracking, shipped inside your product.Amazon BedrockAmazon SageMaker AILambdaOpenSearch
Applications written in your repos and run on AWS
- Software DevelopmentAPIs on API Gateway and Lambda, services on containers, written in your repos with tests, CI and documentation.LambdaAPI GatewayDynamoDBAmazon Cognito
- Application HostingECS Fargate or EC2 behind an Application Load Balancer, CloudFront at the edge, Multi-AZ failover and alarms from day one.EC2S3CloudFrontECS Fargate
IAM, encryption, audit trails and monitoring
- Security & ComplianceLeast-privilege IAM, KMS encryption, CloudTrail and GuardDuty, with the evidence a customer's security review asks for.IAMAWS WAFCloudTrailGuardDuty
- Managed Cloud SupportCloudWatch alarms routed to our engineers with an escalation path agreed up front, patching through Systems Manager, and a monthly health review.CloudWatchAWS Systems ManagerSNSAWS Health Dashboard
Right-sizing, Savings Plans and AWS Activate credits
- Cloud Cost OptimizationLine-by-line cost and usage analysis, right-sizing with Compute Optimizer, Savings Plans and budget alerts per account.Cost ExplorerAWS BudgetsCompute OptimizerEC2
- AWS Funding SupportAWS Activate credit applications for eligible startups, then an architecture plan and usage tracking so the credits last.AWS ActivateCost ExplorerAWS BudgetsAWS Support Plans
architecture / case studies and patterns
AWS architectures, service by service.
The data path through each system's AWS services: systems from our case studies, including two generative-AI systems in production (a document AI pipeline on Textract and Bedrock, and a private RAG compliance workspace on Bedrock Knowledge Bases), alongside common AWS patterns.
Serverless API pattern (a generic AWS pattern): Client apps, API Gateway, AWS Lambda, Amazon SNS, Amazon SQS, AWS Lambda, with Amazon Cognito, CloudWatch, AWS KMS.
Private RAG compliance workspace: Framework library, Knowledge Bases, Amazon Bedrock, Step Functions, with Amazon Cognito, AWS KMS, AWS IAM, AWS CloudTrail, CloudWatch.
Multi-account landing zone pattern (a generic AWS pattern): Control Tower, GuardDuty, Security Hub, Amazon EventBridge, with AWS KMS, AWS IAM, Amazon VPC.
Containerized storefront: Storefront traffic, Load Balancer, ECS Fargate, Amazon Aurora, with AWS DMS, GitHub CI/CD, Amazon ECR, Compute Optimizer, Savings Plans.
Static site at the edge pattern (a generic AWS pattern): Visitors, Route 53, CloudFront, Amazon S3, with AWS WAF, CloudWatch.
Regulated multi-account platform: Internet traffic, AWS WAF, Load Balancer, Application, Amazon RDS, AWS Backup, with AWS KMS, Control Tower.
case studies
Running in production on AWS.
Two clients who agreed to be named and two who asked us not to name them. Each case study has the architecture we built, the AWS services in it and what changed for the team.
WorkwiseConstruction tech / SaaSAn AI tender-analysis pipeline for EPC contractors
VasuistGovernance, risk & complianceA private AI workspace for compliance documentation- Confidential clientDirect-to-consumer e-commerce brandE-commerce / D2CRe-platforming a D2C storefront off a single server
- Confidential clientDigital lending platformFintech / LendingSecure, India-resident AWS for a lending platform
how we work
Everything as code, handed over.
Engineers, not consultants.
We write the code and the infrastructure in your repos, and stand behind what runs in production. No slide decks handed to someone else to build.
Automation is the product.
Infrastructure as code, CI/CD by default, and runbooks your team can follow. The goal is a team that needs us less, not more.
AI is infrastructure now.
We run generative AI like any other production system: versioned, monitored, access-controlled and costed.
- step 01ReviewWe look at what you run, what it costs and where it hurts, before we propose anything.
- step 02DesignWe draw the target architecture and agree it with you, sized for your traffic, budget and compliance needs.
- step 03Build and hand overWe write the Terraform, wire up CI/CD and hand over systems your team can run and extend.
next step
Ready to scale smarter?
Book a free 30-minute call with one of our engineers. Bring your architecture, your bill or your AI idea, and leave with a plan for what to fix first.