Scale AI architecture

It works. Now make it hold.

You have traction and users are flowing in, but latency spikes, the model bill grows faster than revenue, and every traffic peak scares you. We redesign the architecture to scale in both load and cost without stalling your roadmap.

Review my architecture
AI specialty

AI in production,
with human control.

We don't build demos or standalone chatbots. We put AI to work inside your product with three things from day one: evaluations, limits and cost per result.

Evaluations

A set of real cases we use to measure every prompt or model change, so we know whether it improves or degrades before it ships.

Limits

What AI can do on its own and what needs human approval, written down and enforced in code, with the option to switch it off if something fails.

Cost per result

We measure what each useful result costs, not each call, and review the spend every month.

What we set up here

01Model Router Agent

Routes each request to the cheapest model that meets the required quality, escalating to a larger one only when needed.

02Cache Optimizer

Detects repeated or similar requests and serves them from a semantic cache, cutting cost and latency.

03Cost & Load Monitor

Watches per-feature spend and latency in real time, and alerts before a spike turns into an outage.

What we measure

Cost per Outcome

Stop measuring tokens and start measuring the cost of each useful outcome delivered. If the architecture scales well, that number drops as you grow, not climbs.

Problems we solve

Problems we solve

1

Cost eats the margin

Each new user spikes token and compute spend. The unit economics don't close and no one knows which call costs what.

2

Latency and outages at peak

What ran smoothly with 10 users chokes at 1,000. Without queues, caching or rate limits, every traffic peak threatens the service.

3

Locked to one provider

Everything depends on a single model and API. A price change or provider outage leaves you with no product and no plan B.

What we leave in place

Cost per request under control
Stable latency at peak
Caching and model routing
Less single-vendor risk

How we work

1

3-hour diagnosis (€300, VAT not included): technical map, risks, roadmap and estimate.

2

We work with an hour bundle or as a Monthly or Hands-on CTO, with the HALO method cadence.

3

Every deliverable is closed with a verified signal, and you see every hour in your portal.

Frequently asked questions

Do you only work on AI products?

No. We work with startups and companies building a digital product: an app, a platform or connected hardware. AI is our specialty, not a requirement.

How does the diagnosis work?

It's 3 hours: a session of about 2 hours and a written plan with the technical map, risks, roadmap and an estimate. It costs €300, VAT not included. If you then book hours with us, the €300 is deducted from your first invoice.

Who owns the code?

You do, 100% and from day one, along with the documentation and deliverables. No vendor lock-in.

Let's talk about your specific case

Tell us what you need and we will respond in less than 24 hours with a concrete action plan.

We'll only use your details to reply to you. More in the privacy policy.

Ready for the next step?

In the diagnosis (3 h, €300, VAT not included) we analyze your product and give you a written plan: technical map, risks, roadmap and estimate. If you then book hours with us, the €300 is deducted from your first invoice.