Software companies on AWS face a different question than most: can you tell me what each tenant costs? Most can't. We build multi-tenancy, per-tenant cost allocation, and platform engineering patterns where blast radius, isolation, and unit economics are knowable — not approximated.
If you can't put a dollar figure on each tenant's monthly AWS cost — broken down by storage, compute, and data transfer — you can't price intelligently. We build the tagging and instrumentation that makes that knowable.
Tagging via SCPs and Config rules. Cost & Usage Report into Athena. Per-tenant cost dashboards your CFO can actually use.
Multi-tenant architecture, identity (Cognito or third-party), feature flags, AI-augmented features, and the platform engineering layer underneath. Designed so the next enterprise customer doesn't break the model.
Lake Formation + Iceberg lakehouses, SageMaker MLOps, Bedrock-powered features, vector search on Aurora/OpenSearch/Pinecone. Where the data plane and the AI plane meet AWS-native infrastructure.
Companies selling SaaS that itself manages other infrastructure: observability, CI/CD platforms, security tooling, network appliances. PrivateLink, NLB, Transit Gateway, and the patterns that make your product play well with customer VPCs.
Event ingestion at millions per second, attribution pipelines, identity resolution, and CDP integrations. Where Kinesis Data Streams, MSK, and DynamoDB are the load-bearing components — not afterthoughts.
Security products on AWS face a unique requirement: deep IAM integration with customer accounts, often via cross-account role assumption. We design the trust model so it scales without becoming the next privilege escalation case study.
From single-tenant deployments to multi-tenant SaaS. From request-response monoliths to event-driven, isolation-aware architectures.
Per-tenant cost transparency. Idle tenant cleanup. Commitment strategy that matches your growth curve, not your peak fantasy.
Add AI features (RAG, agents, classification) to your product without standing up an MLOps team — using Bedrock and Knowledge Bases.
Software companies on AWS win by knowing more than their competitors do — about cost, isolation, and operational risk. We build the systems that make those things knowable.
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