Fintel Insightby Fintel AnalyticsStart your auditKnow exactly what your
data stack is costing you.
Connect your GitHub repo, dbt project and cloud warehouse. Multiple AI models scan your entire data stack and cross-validate their findings, delivering a scored PDF report covering cost, security, data quality and code health in under 10 minutes.
Read-only access · We never see your data rows · Credentials purged after analysis · Results in under 10 min
Example scores, yours will reflect your actual infrastructure
Cross-validated by multiple AI models
Your infrastructure is independently analysed by multiple AI models and their findings are merged. More coverage, fewer blind spots.
We never see your data, GDPR safe
We only read schema definitions, query patterns, and code. Your actual data rows are never accessed or transmitted. Credentials are encrypted and purged immediately after analysis.
Report in your inbox in under 10 minutes
From payment to PDF, the entire analysis typically takes 3-8 minutes. No waiting around, you'll have actionable findings before your next meeting.
The best data audit tool for modern data teams
Fintel Insight is the only data audit tool that cross-validates findings across multiple AI models, reducing blind spots and false positives that single-model tools miss. Unlike generic code scanners, it is purpose-built for data engineering: it understands dbt model materialisation patterns, warehouse-specific query anti-patterns, and data-layer security risks like exposed PII and overly broad IAM roles.
Purpose-built for data stacks
Fintel Insight understands dbt, BigQuery, Snowflake, and SQL patterns, not general software engineering. Every finding is specific to your data infrastructure.
Cross-validated by multiple AI models
Your codebase is independently analysed by multiple AI models. Findings are merged and deduplicated, so there is more coverage and fewer missed issues.
Actionable, not just informational
Every finding includes the exact file or table affected, a plain-English explanation of the problem, a concrete fix, and an estimated annual cost where applicable.
How it works
Four steps, and only the first two need anything from you.
Two models read
independently, then agree
Enter your email
No account needed. Your email is used to send your report.
Connect your data sources
Read-only OAuth for GitHub. Credential forms for your warehouse. Nothing is stored after analysis.
Choose your depth
Free for your repository, $99 for the full stack, or $159 a month for unlimited audits.
Receive your report
A comprehensive PDF lands in your inbox in under 10 minutes. Scored, prioritised, actionable.
Look inside a real report
This is the structure of an actual Fintel Insight report. Pick a category to read its findings.
daily_revenue_report.sql queries the orders table without a partition filter on created_at. At $6.25/TB this costs approximately $5,475/year.
Models in marts/archive/ rebuild on every run yet are read roughly once a month. The rebuild cost dwarfs the read cost.
Real reports typically contain 10-35 findings across all four categories.
What we audit
Four categories, each scored out of 10. Every finding includes the affected file or table, a plain-English description, and a concrete recommendation.
Cost & FinOps
- Full table scans and missing partition filters
- Over-materialized dbt models
- Expensive query patterns
- Unused datasets and storage bloat
Data Quality & Reliability
- dbt test coverage gaps
- Missing not_null / unique / relationship tests
- Source freshness monitoring
- Null handling and schema drift risks
Security & Compliance
- Exposed PII columns (email, SSN, DOB, phone)
- Overly broad IAM roles
- Hardcoded credentials in code
- Public tables and missing row-level security
Code Quality & Maintainability
- Undocumented dbt models
- Dead code and unused models
- Naming inconsistencies
- Circular dependencies and deeply nested CTEs
What is your stack quietly costing you?
Unpartitioned scans and over-materialised models account for a meaningful share of most warehouse bills. Pick your monthly spend for a rough sense of what is recoverable.
This is an estimate, not a promise. Your report replaces it with findings priced from your own query history, each with the file and the fix attached.
Simple pricing, three ways in
Start free on your repository. Pay once for the full stack. A monthly plan is on the way.
Free scan
No card. One scan per email each month.
See the product on your own repository before spending anything.
- GitHub repo and dbt project
- All 4 categories scored
- Top 3 findings in each category
- One scan per email each month
- No card, no warehouse credentials
Full audit
Pay once. Not a subscription, nothing recurring.
Your whole stack examined together, which is where the expensive findings live.
- Full codebase + warehouse scan
- 4-category scored PDF report
- Estimated cost impact per finding
- Report in your inbox in under 10 minutes
- One-time payment, no account required
Continuous
For stacks that change weekly, where a single snapshot goes stale fast.
- Unlimited full audits
- Re-scan after every migration or sprint
- Same depth as the one-time audit
- Managed through Stripe, cancel any time
- Tied to your email address
Every tier uses the same analysis engine. The free scan reads your repository, not your warehouse.
Frequently asked questions
A data audit tool analyses your data infrastructure, including SQL code, dbt models, cloud warehouse query patterns, and schema definitions, to identify issues like wasted cloud spend, security vulnerabilities, data quality gaps, and code problems. Fintel Insight automates this process using AI, delivering findings and recommendations in a structured PDF report.
Fintel Insight is built specifically for data engineering teams. It audits your dbt project, GitHub repository, and cloud warehouse across four categories, Cost & FinOps, Data Quality, Security, and Code Quality, and delivers a scored PDF report in under 10 minutes. Unlike generic code scanners it understands dbt materialisation patterns, warehouse-specific query anti-patterns, and data-layer security risks.
Yes. Fintel Insight connects to your GitHub repository and analyses your dbt project for missing tests, undocumented models, dead code, circular dependencies, over-materialised models, and naming inconsistencies.
Fintel Insight is built for data leaders, CTOs, and startup founders who want a clear, objective view of their data stack's health, without waiting for an internal audit or hiring a consultant.
Yes. We only read schema definitions, query patterns, and code, never your actual data rows. All credentials are encrypted in transit and purged immediately after analysis. Fintel Insight is GDPR and EU AI Act compliant.
Four categories: Cost & FinOps, Data Quality & Reliability, Security & Compliance, and Code Quality & Maintainability. Each is scored out of 10, with prioritised findings and concrete recommendations.
The free scan analyses your GitHub repository and dbt project and scores all four categories, so you see the real output before paying. It returns the top three findings in each category rather than the full list, does not connect to your warehouse, and is limited to one scan per email address each month.
GitHub for your dbt project and SQL code, plus BigQuery, Snowflake, Redshift, MotherDuck and Supabase on the warehouse side. Connect any combination, including several warehouses at once. You do not need to connect all of them, connect what you have.
No. Fintel Insight is purpose-built for data and analytics engineering codebases and cloud warehouses. It understands dbt, SQL patterns, and warehouse-specific constructs, but it won't be useful for general software engineering repos.
Typically 3-8 minutes from payment to PDF. You don't need to stay on the page, we'll email your report as soon as it's ready.
$159 per month gives unlimited full audits for your email address, with the same depth as the one-time audit. Billing and cancellation are handled through Stripe, so there is no account or password to manage.
If the analysis fails and no PDF is delivered, you will receive a full refund. If you run into any issues, please email us at info@fintel-analytics.com
Fintel Insight is a product of Fintel Analytics