Are you tied to any vendor or cloud?

No. We don't resell infrastructure, inference or models. We recommend the cheapest credible option and show our math — including options we don't profit from.

Is my billing data safe?

Read-only access under NDA. We don't move or retain your data.

What do I actually get?

More than a report. The audit gives a CFO-ready spend and leak map with three costed options. From there we build the stack, implement it, drive adoption, and train your team to run it.

How long does it take?

The audit is about two weeks, fixed scope. The build and enablement that can follow are scoped separately — only if you want them.

Teams of ~100–500 people spending materially on AI — typically $20K+/month.

          
          Independent AI Spend Governance
        

Your AI bill is out of control. Capping spend won't fix it — the right setup will.

We design and build your AI gateway — LLM routing, MCP access, SSO and governance — then run it with you. Lower spend is the outcome, not the whole pitch.

Estimate your AI overspend → Book a 20-min review

          
          For finance and engineering leaders running OpenAI, Anthropic, Copilot & coding agents.
        

            Monthly AI spend
            forecast vs actual
          

            Actual / forecast
            Under governance
          

        01The problem
      

AI became a budget line item overnight. Nobody owns it.

01

The bill is the trigger

Bills land 2–3× over forecast — uncapped APIs, per-seat tools and agent retries all billing on their own. So finance slaps on a cap.

02

Then the stack fragments

The cap pushes developers onto scattered tools, models and MCPs nobody tracks. The integration chaos costs more than it saves.

03

Two owners, no bridge

Finance sees a number; engineering owns the stack. Neither side has an independent, costed read of the whole picture.

"Teams report bills jumping 14×, single prompts going from $0.04 to $1–3, and annual AI budgets burned in four months."

— Recent market reports

        02Spend calculator
      

How much of your AI spend is reducible?

Answer three questions for an instant, benchmark-based range. We calculate your exact numbers in the audit.

Monthly AI spend {{ spendLabel }}

            $5K$500K+
          

AI / dev seats

Primary providers

Potentially reducible / month

            {{ lowLabel }} – {{ highLabel }}
          

Teams with your provider mix typically find {{ lowPctLabel }}–{{ highPctLabel }}% reducible — that's about {{ annualLow }} – {{ annualHigh }} a year.

Benchmark estimate based on market data — not a guarantee. Your audit produces your exact figure.

✓ Request received

We'll send your benchmark breakdown to {{ calcEmail }} and follow up to scope a review.

        03What we do
      

The audit is where we start — not where we stop.

One independent read, then we build the stack, run it in real workflows, and hand it over — so the savings hold.

00 FIXED · ~2 WK

Audit

Independent cost & governance read — a CFO-ready spend and leak map with three costed options.

01

Build the stack

We design it: which open-source tools, which open-source models, which proprietary models — chosen for your workload, region and budget.

02

Implement

We wire it into real workflows — token gateway, routing, caps and tracing. Live, not in a slide.

03

Adopt

We bring the dev team on board, so the stack gets used — not shelved.

04

Test & refine

We measure, tune the model-mix and routing, and prove the savings against your baseline.

05

Educate

We train your team on how it all works, so it holds after we step away.

        04The stack
      

What we actually build

One AI gateway for your whole org — an LLM gateway, an MCP gateway, and the tracking and controls around them. Best tools for your case, never a house brand.

01

LLM gateway

unified model access

One endpoint in front of every model provider — keys, quotas and limits in one place.

02

MCP gateway

agent tools

A governed entry point for agents and MCP tools, with SSO and rules for what's allowed where.

03

Service gateway

external services

A controlled gateway for the other services your AI calls — search, vector stores, internal APIs.

04

Inference routing

self-hosted models

Sends eligible workloads to self-hosted open models where they're cheaper, with managed fallback.

05

Smart routing

by prompt complexity

Matches each request to the right-sized model based on how hard the prompt actually is.

06

Cost tracking

usage + attribution

Usage and spend tracked per user, team and feature — so every euro has an owner.

07

Tracing & security

logs · policy · analytics

Full request logs, policy enforcement and analytics across the whole gateway.

        05Why independent
      

Independent means independent. We have nothing to upsell you.

An audit you can't trust is worthless on the CFO's desk. Neutrality isn't a slide value — it's the product you're buying.

NO RESALE

We don't resell cloud, inference, or any model provider.

SHOW THE MATH

Every recommendation comes with the numbers behind it — including options we don't profit from.

EVEN COMPETITORS

We'll point you to a competitor, open-source, or staying put if that's genuinely cheaper.

        06How the audit works
      

Predictable scope · predictable price · predictable deliverable.

WEEK 0Intake

Read-only access

We get read-only access to billing & usage and run one 60-minute scoping call. Nothing changes in your stack.

WEEK 1Cost model

Rebuild bottom-up

We reconstruct your spend from first principles, line by line, and find exactly where it leaks.

WEEK 2Report

Three costed options

A CFO-ready report: three costed options, a clear recommendation, and a migration path you can act on.

WHY NOW

The window is open right now

AI just became a material budget line — and finance is finally asking who owns it.

Open-source is now good enough for many workloads — so migration is a real, costed option, not a thought experiment.

EU data residency & sovereign-AI requirements raise the stakes on where your inference runs.

WHY US

Built from doing the work

A small, senior team of engineers and FinOps practitioners — built from a year of hands-on AI cost and architecture work across large engineering teams, not from slideware.

Hands-on engineers FinOps practitioners Vendor-neutral

        07Alternatives
      

Why not just call a Big Four firm or a vendor?

What you get
The catch

Big Four / SI

Generic AI-transformation frameworks

Slow, expensive, not about your bill

Vendor services

Embedded engineers

Built to sell you more of their model

FinOps tools

Dashboards & alerts

No human read for the CFO, no migration path

Calibrixy

Independent audit, then a stack we build & run with you

A cheaper stack, actually implemented — not just a report

        08Pricing
      

Start with the audit. It stands on its own.

START HERE~2 weeks

Cost Audit

€5K

fixed price

The independent spend read + three costed options + a CFO-ready report.

Book the audit →

OPTIONAL

Build & Enablement

Scoped

after the audit

We build the recommended stack, implement it, drive adoption, refine the model-mix and train your team — scoped from the report.

Talk it through

OPTIONAL

Governance Retainer

Ongoing

monthly

Continuous monitoring, routing & reporting so spend stays governed after the audit.

Talk it through

No lock-in. The audit pays for itself or it doesn't — you'll know in two weeks.

        09FAQ
      

Straight answers

          10Get started
        

Get an independent read on your AI spend.

20 minutes, no slides. We'll tell you honestly whether an audit is even worth it for you.

BASED Remote-first · Berlin & New York

REACH US Use the form — we reply within a day.

           Independent advisory · no infrastructure resold
        

✓

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We'll reach out at {{ fEmail }} to set up your 20-minute review.