# Local AI audits and AI services | The Inference Directory

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AI-native services

We map inference costs, test providers, and build local AI systems for teams that need evidence, not vendor slides.

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Audit output Evidence-backed

Workload**1M in + 250K out**

Input cost**Verified**

Cache price**Published**

Provider fit**Shortlisted**

Hosting**Local option**

A defensible rate card, not a vendor quote.

What we do

## Three ways we help.

### Inference cost audit

Price the models you actually run, including input, cache, output, context, and provider markups. Find where the bill is hiding.

Rate card · Workload model · Cache assumptions

### Provider selection

Compare ownership, hosting, latency, KYC, data posture, and frontier pricing. Pick the provider that fits the workload.

Shortlist · Pricing · Risk and residency

### Local AI deployment

Design and ship an OpenAI-compatible local stack: model choice, GPU sizing, caching, evals, and a cost model you can defend.

Model choice · GPU sizing · Deployment

How it works

## Evidence first. Then a decision.

### Scope

We define the workload, constraints, budget, and the decision you need to make.

### Test

We price and test the shortlisted models and providers against the same workload.

### Report

You get a sourced recommendation, a cost model, and the tradeoffs in plain language.

Start here

## Request a local AI audit.

Tell us what you are building, which models or providers you are considering, and the budget or hosting constraints. We will reply by email.

Name  Work email  Company *optional*  What do you need? Choose a service Local AI audit Inference cost review Provider selection Local AI deployment Other What are you trying to solve?

 I agree to be contacted about this request.

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