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Services/AI Audit

AI Audit

Find what's broken. Fix what matters.

A deep technical review of your existing ML system — data pipeline, model architecture, training setup, inference stack, and monitoring. You get a written report with ranked findings and a clear action plan you can execute immediately.

Starting AtFrom ₹5,000
Timeline2–3 days
Deliverables5 Items

Tech Stack

MLOpsCode ReviewPipeline AuditReportConsulting
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MLOps
Code Review
Pipeline Audit
Report
Consulting
MLOps
Code Review
Pipeline Audit
Report
Consulting
MLOps
Code Review
Pipeline Audit
Report
Consulting
MLOps
Code Review
Pipeline Audit
Report
Consulting

What this is

The full
picture.

Start a Project

Most ML systems in production share a common set of problems: leaky data pipelines, models trained on the wrong distribution, no monitoring, slow inference, and accumulated technical debt. Left unaddressed, these issues compound.

SpaceDrift's AI Audit is a structured technical review that surfaces these problems before they become critical failures. Our team reviews your code, your data pipeline, your model architecture, your serving infrastructure, and your monitoring setup — end to end.

Unlike a generic consulting engagement, this is a hands-on technical audit. We read your code. We run your pipeline. We examine your model's actual behavior on real data. The output is a detailed written report you can act on immediately.

What you receive

Every
deliverable.

01

Written Audit Report

Comprehensive PDF covering all audit dimensions with findings, severity ratings, and recommendations.

02

Data Pipeline Assessment

Review of your data ingestion, cleaning, and transformation logic for leaks and inefficiencies.

03

Model Performance Analysis

Evaluation of your current model on representative data — accuracy, robustness, and bias.

04

Prioritized Fix List

Every finding ranked by impact vs. effort. A clear, actionable backlog you can execute immediately.

05

Live Review Call

1-hour call to walk through the report, answer questions, and discuss implementation strategy.

Step by step

How it
works.

01

Access & Scope

You share your codebase (NDA signed first). We define the audit scope and success criteria.

02

Data Pipeline Review

We trace your data from source to model input, identifying leaks and silent failure points.

03

Model & Training Review

Architecture, training code, evaluation methodology, and overfitting analysis.

04

Inference & MLOps Review

Serving infrastructure, latency profiling, monitoring setup, and deployment configuration.

05

Report Writing

Structured findings with severity ratings (Critical/High/Medium/Low) and code-level recommendations.

06

Review Call

1-hour live walkthrough. You leave with a clear picture of what to fix first and why.

Real numbers

Results that
matter.

2–3d
Full audit turnaround time
100%
Of clients found at least 3 critical issues
1hr
Live review call included
PDF
Detailed written report delivered

Is this for you?

Best
suited for.

This service is designed for a specific type of client. If you see yourself in this list, we`re a good fit.

Ask Me Anything
Teams whose ML models are underperforming in production
Startups before a major ML infrastructure investment
Companies with high inference costs or latency issues
Engineering teams inheriting an ML codebase

Ready to start
this project?

Tell me your project details and I`ll respond with a clear scope and fixed quote within 2 hours. No commitment required.