Independent AI Audits

Your AI stack
is underperforming.
We will prove it.

We audit AI pipelines for businesses adopting AI: retrieval, prompts, latency, accuracy. Code access sharpens the audit, but is not mandatory. Delivered in 5 working days.

Engineering record

No client logos yet. What I have is a production record. These are real systems, real numbers.

40%

Latency reduction on a production inference pipeline handling 100,000+ inputs per day. No model change.

33x

Throughput improvement on the same hardware. The bottleneck was in how inference was batched, not the model.

17%

Accuracy gain on a text-to-SQL system. Fixed the retrieval layer. The model was fine the whole time.

$500K

Pipeline impact traced back to a single architecture review. The problems had been there for months.

The service

One audit.
Clear answers.

Most AI systems underperform not because the model is wrong, but because of how it is used. Retrieval that returns noise. Prompts that drift. Pipelines that work fine at 10 inputs and break at 10,000.

We review your system end to end, identify where it breaks, and write up exactly what to fix. You keep the report. You decide what to do with it.

What you receive

  • 1Written audit report with specific findings
  • 2Root cause identified for each issue
  • 3Prioritised fix list, quick wins first
  • 430-minute walkthrough call to review findings

Pricing by stage

Seed / Pre-seed / Bootstrapped$400
Series A$600
Series B and above$1,000

50% deposit on booking. Remainder due on delivery.

How it works

Four steps.

01

Share access

Docs, architecture notes, sample inputs and outputs. Code repo access is welcome and makes the audit sharper, but not required.

02

We audit

End-to-end review of your AI pipeline against what it is supposed to do.

03

You get the report

Written findings with root causes and a prioritised fix list. 5 working days.

04

Walkthrough call

30 minutes to walk through findings, answer questions, agree on next steps.

Who we are

I find what's wrong
with your AI.

I'm an engineer. I've spent the last few years building AI systems in production, the kind that process hundreds of thousands of inputs a day and need to actually work. Retrieval pipelines, LLM integrations, inference at scale. I've seen what breaks and why.

The audit exists because most AI problems aren't model problems. They're engineering problems that nobody's looked at closely enough. I look at them, write up what I find, and you get a clear picture of what to fix.

Ready?

Find your AI system's ceiling.

Send a short note about what your product does and what feels off. Response within 24 hours.

Taking first 3 audit clients at a reduced rate, in exchange for an honest case study.

bippin@theaiauditor.in