From microservices and AI cost engineering to performance and cloud infrastructure, the same small senior team designs your services, writes the code and owns the cost model — no hand-offs between design, engineering and infrastructure, and no surprise rewrite when growth arrives.
Decoupled services with clear boundaries, so scaling one part of your product never means rebuilding the rest. We split only when a measurable pressure justifies it.
Microservices consulting for startups →
Model routing, prompt caching, batching and fallback tiers that cut AI inference spend 30–90% — without cutting response quality.
Learn how we reduce LLM costs →
Cloud setups sized to your real load curve — not over-provisioned for traffic you don't have yet — with autoscaling and pragmatic FinOps.
Cloud cost optimization for startups →
Modular, testable backend functions and stable, well-designed APIs a new engineer can understand in a day, not a quarter — structured to scale without a rewrite.
Structured backend & API design →
Caching, indexing and load-testing built in from day one, not bolted on after your first outage — so apps stay fast and stable under real load.
Performance engineering for startups →
A phased architecture plan that takes you from 100 users to 100,000 without a single re-platform — what breaks next at each threshold, and what to build before it does.
See how scale roadmapping works →
One 30-minute call where we map your architecture and cost curve and tell you honestly where the system breaks first — and which of these disciplines will move your number most.
Book a Build Audit →