Diagnosis before promise
We first measure your actual spend and its composition. Only then do we quantify the possible saving, using your data rather than industry averages.
Pay less
for the same AI
e-ficient reduces spending on AI models for companies already running artificial intelligence, without changing provider and without intervening in your systems.
Audit in 72 hours · Free with a three-month plan · No savings, no commitment
AI ecosystem
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- OpenAI
- Anthropic
- Mistral
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- DeepSeek
- Kimi
- Qwen
Monthly report · Month 3 Illustrative example Baseline spend €6,000
Optimised spend €3,300
Growth fee €990
Net saving €1,710 −45 %
| Cost per task | Before | After |
|---|---|---|
| Query classification | €2,400 | €1,080 |
| Field extraction from documents | €1,900 | €950 |
| Drafting replies | €1,700 | €1,270 |
How much you could save
Move the slider to your monthly AI spend and see the estimated saving range and the tier that would apply.
€1,000 €30,000
Estimated monthly saving €1,800 – €3,600
Your tier Growth · €990
Net monthly saving €810 – €2,610
Estimate based on the usual 30–60% range. Your actual figure is confirmed in the 72-hour audit, from your own data.
Below the service threshold
Below €2,000 a month, the saving does not offset the fee and we prefer to tell you so. We are preparing a plan for smaller volumes: leave us your email and we will let you know when it is available.
Request sent
A tailored approach
Above €18,000 a month the saving runs into tens of thousands a year and the approach stops being standard. Scope, integrations and terms are defined with you.
Let us talk about your caseWhy it works
No intervention in your systems
We deliver the configuration that assigns the right model to each task, and your team applies it in its own AI gateway, with its own credentials. Your requests never pass through us.
Verifiable savings every month
Each month you receive your invoice compared with and without e-ficient. If the saving is not in the report, it does not exist.
Who it is for
Companies already running AI in production and watching the invoice grow without clear control: finance leadership that needs predictability, technology leadership that does not want to slow delivery, and procurement that needs to justify the spend.
Use case
A support assistant growing faster than its budget
A company handles customer enquiries with an assistant built on language models. It works well and usage grows every month, but the invoice rises without anyone being able to explain what each part corresponds to. We start by measuring: which types of enquiry drive the spend, which model handles each one and which could be handled equally well by a more economical alternative. From there we assign the right model to each task and avoid paying repeatedly for information that recurs. The assistant answers as before, the technical team does not rebuild the application and the invoice becomes a line item that can be explained and budgeted.
What we do not do
We do not work below €2,000 a month
If your AI spend is below that volume, the saving does not offset the fee and we will tell you so in the audit. We would rather decline than charge for a service that is not profitable for you.
We do not save money by degrading quality
Lowering response quality is not saving: it moves the cost elsewhere. We measure quality before we start and monitor it afterwards. If a saving required degrading it, we do not apply it.
We do not promise figures we have not measured
The 30–60% range describes what we usually see, not a promise for your case. Your specific figure comes out of the audit, from your own data. If it falls short of your monthly fee, you cancel with no lock-in and no penalty.
We do not intervene in your systems without your authorisation
Our core service is the configuration: we deliver it and your team applies it in its own AI gateway, with its own credentials. We only manage a component of our own if you request it, and always inside your infrastructure.