We architect AI-native products on right-sized infrastructure — so you scale from 100 to 100,000 users without a rewrite, and without your AI bill outrunning your revenue.
An app can be built in days. What breaks startups now isn't shipping features — it's the cost curve underneath them. Wire up careless model calls and an over-provisioned cloud, and your tokens and infrastructure quietly cost more than the product itself — then force a rewrite the moment you grow.
MVPs are over. We build the real, scalable product in one pass — costed before a line ships.
Model routing, prompt caching, batching and fallback tiers that cut inference spend 30–90% — without cutting response quality.
Cloud sized to your real load curve, with autoscaling and pragmatic FinOps — never over-provisioned for traffic you don't have yet.
Microservices and clean APIs introduced only where load justifies it, so 100 users and 100,000 users run on the same design.
Caching, indexing and load-testing from day one — with per-user cost tracked end to end, so nothing surprises you at scale.
Meal-time traffic spikes were timing out the backend three times a day. We split food-recognition behind a cache and autoscaled it to the real curve.
Personalised feeds were re-calling the model on every refresh. Caching and smart routing flattened the spend while the audience kept growing.
Real-time calls couldn't tolerate latency. A right-sized infra and a leaner inference path kept it fast and stable under real load.
Book a free 30-minute build audit — we'll map your product's likely cost curve and tell you honestly where it will break first.
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A free 30-minute build audit. We'll show you where your AI and cloud spend breaks first — and what it costs to get it right from day one.
Book a free build audit →