AI optimization · cost, security, sovereignty

Your AI already works. We make it cheaper, safer and yours.

Zylen meters what your AI actually costs, routes the easy traffic to cheaper models, puts guardrails and redaction in front of the prompt path, and moves the workloads that cannot leave onto models running inside your own environment. Ten days in, you have the numbers and one change already live.

Inference spend, metered Guardrails with audit trails Sensitive workloads can stay in your cloud
We start from your actual AI billMapped to OWASP GenAI LLM Top 10 2026Open-weight models in your cloudYou keep the code and the keys

Start here

Every AI workload metered. One of them already fixed.

Provider invoices arrive as one number, so most companies cannot say which feature is costing them what, or where their data crosses a boundary. The first week answers both and ranks what is worth changing. The second week changes one of them, so you finish holding a measured result rather than a recommendation.

$4,00010 working days · credited in full against a sprint

If nothing is live and measured at the end of day ten, there is no invoice.

Start an AI Optimization Audit
AI optimization audit 10 working days
  1. Days 1–2
    MeterWe instrument what you already run. Every AI workload, what it costs per call and per month, which model it uses, who is paying for it, and the spend nobody has attributed to a team yet.
  2. Days 3–4
    RankEach workload scored on what it costs, what it would take to make cheaper, and how exposed it is — including an assessment against the OWASP GenAI LLM Top 10 2026 and a note of where your data leaves your network.
  3. Day 5
    ChooseYou and your sponsor pick the first target. We tell you which one we would pick, and which ones we would leave alone because the saving does not justify the change.
  4. Days 6–9
    ImplementWe build one of them for real, in your environment: a routing and caching layer, a redaction gateway, or one workload moved to a self-hosted open-weight model.
  5. Day 10
    Hand overThe measured before-and-after on your own numbers, the ranked backlog of everything we did not touch, and a fixed-price sprint quote with named owners and acceptance criteria.
Ends with a measured before-and-after, a fixed-price plan and written acceptance criteria.

How we deliver

Built inside your systems. Owned by your team.

We measure before changing anything, work in your repository and cloud, prove every improvement against your real traffic, and hand over the code, evidence and runbooks.

We measure before we change anything
Nothing is optimised until it is instrumented. Cost per call, latency and quality are on record before the first change, so the improvement is a comparison and not an assertion.
We work in your systems
Your repository, your cloud, your accounts. Nothing is built in a private environment of ours and handed over at the end.
Savings are metered, not modelled
The number we report is the one on your provider invoice after the change, on the same traffic. We do not ship a spreadsheet projection and call it a result.
No fix ships without an eval
Every routing, caching or model change is compared against the current setup on your own cases. If quality drops on the cases that matter, the change does not go out.
We hand it over and leave
Code, IP, runbooks and system knowledge transfer to your team. The engagement is designed to end.

Engagement models

Published prices. Smallest step first.

Every engagement starts with the cheapest reversible commitment and expands only after a change is live and measured.

Start here10 working days

AI Optimization Audit

$4,000Flat priceCredited in full against a sprint

Ten days on your actual AI spend and exposure. Every workload metered, ranked by what it costs and what it risks, and the top one already rebuilt cheaper, safer or in your own environment. If nothing is live and measured by day ten, there is no invoice.

Flagship4–6 weeks

AI Optimization Sprint

$28,000–$75,000Fixed price, set in the auditYour number is agreed before the sprint starts

A senior team takes the ranked backlog through to production: the routing and caching layer, the guardrail gateway, or the move to models you host yourself. We will not quote a sprint before the audit. Ten days inside your systems turns an unknown into a fixed price you can approve.

Ongoing3-month minimum

Embedded AI Pod

From $18,000 / monthMonthly capacityTypically an engineering lead plus two engineers

You are buying a team rather than a scope: a dedicated pod working through a continuing backlog across several AI workloads, business units or locations.

Compare all engagement models →

Straight answers

The questions buyers actually ask.

Every workload metered. Ten days. Fixed price.

Find out what your AI should actually cost you.

Tell us roughly what you are running, or that you are not sure what it costs. That is the usual answer. If it is a fit, we start with a ten-day audit and you keep everything we build in it.

Start an AI Optimization Audit