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AI Model Stress Testing Services

Ever wonder how your AI model really behaves with real users, tricky edge cases, or potential attacks? Our independent stress tests reveal this before your model goes live.

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See exactly where and why your model fails
Understand why “98% accuracy” often crashes in the real world
Catch hidden vulnerabilities your internal tests miss

Why Do You Need AI Model Testing?

AI Model Deployment Without Stress Testing: Major Risks

  • Lack of independent validation
  • Hidden blind spots throughout the system
  • Vulnerable model deployment in production
  • Wasteful data acquisition practices
  • Absence of a clear improvement strategy

AI Model Audit from Unidata: Complete Control and Confidence

  • Expert testing on curated datasets
  • Precise failure mode identification
  • 100% security and confidentiality guarantee
  • Targeted data purchases (5-30% of full datasets)
  • Streamlined, transparent workflow

What You Gain with Unidata's AI Model Checking

Smart data purchasing: 70–80% cost savings

Buy only what your model needs. We test your model with complex data to reveal where it fails, so you purchase only those specific segments.

  • Identify which attacks and scenarios break your model
  • Purchase only 5–30% of data where errors occur
  • Skip data your model already handles correctly
  • Reduce acquisition and retraining costs
Results: 70–80% cost savings while fixing what matters

Clear performance breakdown by segment

Stop relying on overall scores. See actual performance:

  • Men aged 30–40 in daylight: 99.8% accuracy
  • Video replay attacks from tablets: 75% accuracy
  • Users with glasses in low light: 15% drop
  • Silicone mask attacks: 0% detection
Results: Fix real problems instead of retraining blindly

Detailed test sample information

See precisely which scenarios break your model with detailed test metadata:

  • Shooting conditions: lighting, angle, distance, camera quality
  • Attack types and complexity levels
  • User demographics: age, gender, ethnicity
  • Device and environmental factors
Results: Know exactly what breaks your model and why

Who Needs AI Model Audit?

Biometrics & Face Recognition

  • Liveness detection testing: Resistance to photo attacks, video replay, printed photos, masks, deepfakes
  • Recognition stability: Performance across races, ages, accessories (glasses, masks, beards), lighting conditions, unusual angles

Autonomous Vehicles & Video Analytics

  • Object detection validation: Pedestrian/vehicle/sign detection in rain, fog, snow, night conditions
  • Edge case identification: Scenarios absent from training data but critical for safety

OCR & Document Recognition

  • Document testing: On documents with reflections, captured at angles, wrinkled, or of low print/photo quality.
  • Fraud detection: Performance against sophisticated document forgery attempts

Case Study: Liveness Model Audit for Biometric Security

  • Biometrics & Face Recognition
  • 1000+real-user videos with diverse spoof attacks
  • 2 months
Learn more
Liveness Verified

How the AI Model Audit Process Works at Unidata

We start by understanding your model and establishing secure testing infrastructure.
01

Briefing and Task Setup

We discuss your model, define key metrics (FAR/FRR, Accuracy, etc.), and identify focus areas.

02

Pilot and Estimation

You provide model access. We deliver initial results with timeline and cost estimate.

03

Agreement and NDA

We sign the agreement with clear deliverables and confidentiality protections.

Once you approve the setup, we move to comprehensive model evaluation.
01

Stress Testing

We test your model using our proprietary labeled dataset.

02

Performance Analysis

We analyze results across 20+ conditions: demographics, attack types, lighting, devices, etc.

03

Validation Review

You review detailed performance breakdown by segment and condition.

04

Final Report Delivery

You receive a comprehensive report with visualizations, failure modes, and recommendations.

05

Data Purchase

You purchase only the 5-30% of data segments where your model struggles.

06

Payment

Final payment upon delivery of complete analysis and consultation.

We start by understanding your model and establishing secure testing infrastructure.

1. Briefing and Task Setup

We discuss your model, define key metrics (FAR/FRR, Accuracy, etc.), and identify focus areas.

2. Pilot and Estimation

You provide model access. We deliver initial results with timeline and cost estimate.

3. Agreement and NDA

We sign the agreement with clear deliverables and confidentiality protections.

Once you approve the setup, we move to comprehensive model evaluation.

1. Stress Testing

We test your model using our proprietary labeled dataset.

2. Performance Analysis

We analyze results across 20+ conditions: demographics, attack types, lighting, devices, etc.

3. Validation Review

You review detailed performance breakdown by segment and condition.

4. Final Report Delivery

You receive a comprehensive report with visualizations, failure modes, and recommendations.

5. Data Purchase

You purchase only the 5-30% of data segments where your model struggles.

6. Payment

Final payment upon delivery of complete analysis and consultation.

Why Companies Trust Unidata's Datasets

Share your project requirements, we handle the rest. Every service is tailored, executed, and compliance-ready, so you can focus on strategy and growth, not operations.

70+ Datasets

  • Finance, IT, E-commerce, Retail, Healthcare and 14+ Industries
  • Multiple supported formats
01

Unique & Diverse Data

  • Diversity in ethnicity, age, country, gender, and more
  • Exclusively collected data, not available from open sources
02

Custom Dataset Solutions

  • No manual collection needed from your side; we handle everything
  • Up to 70% cheaper than in-house
03

100% Legal, Secure & Compliant

  • Curated and legally sourced
  • AWS ISO 27001/27701
04

Smooth Collaboration & Fast Delivery

  • 87% of datasets delivered in 3–10 days
  • Dedicated PM, Europe-timezone communication
05

Need Proof?

See the results we've delivered for leading tech companies and startups.

Explore datasets

Trusted Data Collection

Data is collected on the Prolific platform, which offers a diverse pool of participants and allows customizations by gender, age, location, or professional background, while ensuring participant consent.

Combining platform filters with team expertise ensures reliability during both collection and validation, and guarantees the data aligns precisely with client requirements.

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LLM Training Services

Comprehensive data services for training, evaluation, and testing of LLM models across 12 industries

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What our clients are saying

UniData

4 3 Reviews

PA

Paul 2025-02-21

Very Positive Experience!

The team was very responsive when requesting a specific dataset, and was able to work with us on what data we specifically needed and custom pricing for our use case. Overall a great experience, and would recommend them to others!

TH

Thorsten 2025-01-09

Very good experience

We got in touch with UniData to buy several datasets from them. Communication was very cooperative, quick, and friendly. We were able to find contract conditions that suited both parties well. I also appreciate the team's dedication to understand and address the needs of the customer. And the datasets we bought from UniData matched with our expectations.

Max Crous 2024-10-08

Data purchase

Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.

Abhijeet Zilpelwar 2025-02-26

Data is well organized and easy to…

Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.

Trusted by the world's biggest brands

Frequently Asked Questions

How do I test AI models?
Testing AI models involves evaluating performance, accuracy, and reliability across diverse scenarios. Define success metrics, then stress test the model against diverse datasets covering edge cases, challenging conditions, and attack scenarios. Professional testing services like Unidata conduct independent audits on 50+ proprietary labeled datasets, assessing accuracy by demographics, lighting conditions, device types, and environmental factors to ensure your model performs reliably before deployment.
What is an AI model audit?
An AI model audit is an independent stress test that examines your AI system's performance using curated datasets with comprehensive metadata. Unidata's audits test models against edge cases, spoof attacks, and challenging conditions, providing detailed failure mode identification segmented by demographics, lighting, attack types, and operational contexts. The audit delivers a comprehensive report with performance breakdowns, identified vulnerabilities, and targeted data purchase recommendations, helping you buy only the 5-30% of data where your model struggles, saving 70-80% in costs.
What is an AI model stress test?
An AI model stress test pushes your model beyond normal conditions using challenging scenarios absent from typical training data. It exposes models to sophisticated attacks (deepfakes, mask spoofs, video replays), extreme environmental factors (fog, night conditions, unusual angles), and edge cases across diverse demographics and devices. Stress testing reveals precise failure locations and root causes, like 99.8% accuracy for men aged 30-40 in daylight versus 75% on tablet video attacks, enabling targeted improvements without wasteful blind retraining.

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