Collapse Index Labs
> EVAL_SERVICES

Catch Model Failures Before Production.

Third-party brittleness audits with sealed forensic logs. Know what breaks before your customers do.

Find silent regressions pre-deployment
Court-admissible audit logs for regulatory compliance
Independent auditor validation with sealed evidence
Request Evaluation →

⚠️ The Problem

What standard testing misses.

P0/P1 incidents from edge case failures

Production outages cost $100k-$5M per incident in downtime + customer churn

Benchmark accuracy hides systematic brittleness

95% accuracy → but predictions collapse when inputs vary slightly

In-house testing has blind spots

You test what you expect, miss what you don't

Silent regressions slip through CI/CD

Model updates break edge cases, prod finds out first

CI evaluation catches collapse patterns before production

$5k-$30k audit vs $100k-$5M P0 incident. Third-party sealed logs prevent blame games during post-mortems.


🎯 Who Uses This

Built for production teams.

🔬 AI Safety Labs

Red team brittleness before model release. Find collapse patterns standard adversarial testing misses.

Pain Point: Benchmark scores don't catch systematic edge case failures

⚙️ MLOps Teams

Pre-deployment regression testing. Validate model updates won't break production edge cases.

Pain Point: Silent regressions in model updates discovered post-deployment

🏛️ Regulated Industries

Healthcare, finance, gov — compliance-ready audit logs. Sealed evidence for regulatory validation.

Pain Point: Need third-party validation auditors will accept

📦 Deliverables

What you get.

Send us your prediction dataset. Get back a complete diagnostic suite within 24-72 hours.

🎯 Risk Triage JSON

5-tier classification (Stable → Extreme Flip) with isolated HCE and brittle rows. Machine-readable format for pipeline integration.

Impact: Feed directly into your CI/CD for automated analysis

📊 HTML Summary

CI score, AUC metrics, ROC curves for error separation, risk distribution histograms, and stability verdict with interpretation.

Impact: Executive-ready report for stakeholders

📜 Collapse Log™

Row-level forensic CSV with per-case CI scores and flip detection.

Impact: Engineers get exact failure cases to debug

🔒 Sealed Package

Cryptographically sealed ZIP with SHA-256 manifests for court-ready integrity.

Impact: Audit trail regulators will accept

🛡️ Data Quality Audit

Automatic cleaning report: rows dropped, missing values detected, format issues flagged before analysis.

Impact: Know if bad data affected your results

🔐 Fast & Private

24-72 hour delivery with zero retention policy. Automated pipeline. We destroy datasets after delivery, keep only crypto manifests (snapshot.json).

Impact: Results before sprint ends + works with sensitive data

📋 Requirements

What we need from you.

Simple CSV or Parquet dataset containing your model predictions. No weights, no code.

Column Description Example
id Unique identifier for each base case case_001, ID00001
variant_id Variant identifier (base + perturbations) base, v1, v2, v3
true_label Ground truth label Positive, True, Yes, 1
pred_label Model prediction Negative, False, No, 0
confidence Model confidence score (0.0-1.0) 0.950, 0.730

* 3 or more variants per base ID recommended for meaningful CI analysis.


🔬 Don't Have Predictions Yet?

Generate test datasets with perturbations.

If you need to create variant predictions, we recommend high-throughput inference engines:

SGLang - Fast structured generation

Best for programmatic perturbations (typos, paraphrases, synonym swaps)

vLLM - High-throughput batching

Best for large-scale variant generation (100k+ cases)

* Not required. Use any inference stack that outputs the CSV format above.


🚀 How to Get Started

Simple 4-step process.

1

Pick Your Tier

Standard (up to 100k rows) or Enterprise (100k+ rows, custom SLAs)

2

Send Dataset

Email CSV/Parquet with predictions. No model weights, no code. Encrypted transfer.

3

Receive Sealed Report

Get complete diagnostic ZIP within 24-72 hours (tier-dependent)

4

Pay by Invoice

Net 15 terms. Credit card, ACH, or wire transfer via Stripe.

Start Your Audit →

💰 Transparent Pricing

Pick your tier.

No hidden fees. Pay per audit, no subscriptions.

Standard
$10k–$30k

Most common option for production audits

  • HTML report + Raw CSV data + Triage json
  • Up to 100k base rows
  • 48-72 hour turnaround
  • Email support (12-24h response)
  • Sealed ZIP delivery
  • Optional: Cohort slice analysis (+$2k-$5k)
Request Quote

💡 ROI Example: One prevented production outage typically costs $50k–$500k. Our audit: $10k–$30k.