SaaS, data, and infrastructure software — built so the unit economics work.
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.
The software-on-AWS reality
- Multi-tenancy decisions (silo vs. pool vs. bridge) shape every architecture choice downstream
- Per-tenant cost allocation is a tagging problem, an architecture problem, and a finance problem at once
- Blast radius isolation matters as soon as the first enterprise customer asks for an MSA review
- SOC 2, ISO 27001, and customer security questionnaires drive logging, access, and IAM design
- Data residency and BYOK demands appear before you expect them — design for them, don't retrofit
- AI-native features (Bedrock, RAG, agents) are now table stakes for SaaS — not differentiation
Unit economics, not just usage
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.
Where we plug in
B2B and B2C application platforms
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.
Lakehouse, analytics, and ML platforms
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.
Infra-software companies on AWS
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.
High-throughput event platforms
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.
Cybersecurity SaaS
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.
The software stack we build with
- AWS Organizations + Control Tower for account-per-tenant or workload isolation strategies
- Cognito + Verified Permissions for B2B/B2C identity and fine-grained authorization
- ECS Fargate + Lambda for serverless multi-tenant runtimes with per-tenant compute scoping
- DynamoDB single-table + partition strategies for tenant-keyed data with predictable cost
- Bedrock + Bedrock Agents + Knowledge Bases for AI features without standing up your own MLOps stack
- PrivateLink + Transit Gateway for products that live inside customer VPCs
Solutions that map to software work
AWS Modernization
From single-tenant deployments to multi-tenant SaaS. From request-response monoliths to event-driven, isolation-aware architectures.
Cost Optimization & FinOps
Per-tenant cost transparency. Idle tenant cleanup. Commitment strategy that matches your actual growth curve, not a best-case forecast.
AI Solutions on AWS
Add AI features (RAG, agents, classification) to your product without standing up an MLOps team — using Bedrock and Knowledge Bases.
Knowable architecture. Defensible bill.
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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