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VESPR VALIDATE

The solution to building trust in your AI by independently testing and validating your machine-learning models.

Test against
 real-world conditions.

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Produce results for experts and non-experts.

Empowered AI Decision-Making

Accelerate the MLops pipeline
Apply a wide variety of tests
Maintain performance visibility
Be prepared for the unexpected

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Accelerate the MLops pipeline

Streamline your model testing timelines from months to days.

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Apply a wide variety of tests

A one-stop testing platform to stress test models against dozens of risks.

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Maintain performance visibility

Results are presented in plain language to guide human-in-the-loop decision-making.

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Be prepared for the unexpected

Obtain a clear understanding of how and when models will fail to perform.

Accelerate the MLops pipeline

Streamline your model testing timelines from months to days.

Accelerate the MLops pipeline

Apply a wide variety of tests

A one-stop testing platform to stress test models against dozens of risks.

Apply a wide variety of tests

Maintain performance visibility

Results are presented in plain language to guide human-in-the-loop decision-making.

Maintain performance visibility

Be prepared for the unexpected

Obtain a clear understanding of how and when models will fail to perform.

Be prepared for the unexpected

How VESPR Validate Works

Test for your AI mission

  • Upload your ML model or connect via API
  • Select the criteria relevant to your mission conditions
Test for your AI mission
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Visibility into model performance

  • Review your model’s test results
  • Identify where it is not performing and make informed decisions as to deployment or retraining
Visibility into model performance
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Test for your AI mission

  • Upload your ML model or connect via API
  • Select the criteria relevant to your mission conditions
Test for your AI mission
Learn More

Stress-testing For Real-world Conditions

Weather and Light Conditions

Test model performance against changing weather conditions such as rain, snow, fog, as well as ambient light-related conditions.

Weather and Light Conditions

Blur and Defocus

Ensure models continue to operate even when the image or data quality is negatively affected.

Blur and Defocus

Model Inversion and Privacy Testing

Protect your model’s training data by testing its robustness against external actors.

Model Inversion and Privacy Testing

Security Against Adversarial Threats

Benchmark ML model security against adversarial attacks on imagery and other data sets.

Security Against Adversarial Threats

VESPR Validate Use Cases

Aerial imagery and reconnaissance
Target identification
Adversarial security
Interoperability
Weather Events
Environmental / Mission conditions
Model acquisition

Aerial imagery and reconnaissance

Aerial imagery and reconnaissance
Target identification
Adversarial security
Interoperability
Weather Events
Environmental / Mission conditions
Model acquisition

Aerial imagery and reconnaissance

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Cutting-edge technologies are deployed all over the world to track the movements of weapons, military units, and more. Only trustworthy AI can analyze and process this vast amount of data.
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Target identification

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Governments rely on AI to drive near- and long-term strategies. Targeting decisions can be made in mere seconds, and the accuracy of data is vital to suitably reduce commanders’ risk.
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Adversarial security

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Adversarial ML is a present, growing threat. As the development of AI systems in combat scenarios accelerates, the risk and complexity of these attacks are going to grow.
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Interoperability

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In order for innovation to be embraced globally while maintaining a focus on democratic ethics and trust, AI systems cannot be developed and deployed in isolation.
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Weather Events

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It is common for ML models to fail when faced with fog, rain, snow, and more—in order to validate models for deployment, they must be robust against these conditions.
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Environmental / Mission conditions

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Blur, data quality, lighting changes—all of these unexpected conditions can affect AI/ML performance. If your model is not prepared for such environmental factors, your AI mission may be in jeopardy.
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Model acquisition

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As vendors look to sell algorithms and AI systems to the government, an independent testing and validation solution can support an efficient pipeline to deploy these systems to the field.
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Our Accomplishments

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Accelerating Airport Screening with DHS

CalypsoAI partnered with the DHS to integrate its solution into its workflow to efficiently validate and expedite ML models to production.

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CalypsoAI and NASIC Partner to Create AI/ML Pipeline

CalypsoAI’s work will support the creation of a modular and standard development and evaluation process for models in SAR applications.

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A Key Partner in Delivering AI to DoD

CalypsoAI is leveraging its expertise in AI testing and validation to work with Noblis and the U.S. Department of Defense (DoD).

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2022 Gartner Cool Vendor

Gartner calls securing AI one of the “mission-critical” priorities of data and analytics leaders and outlines that it’s “essential to operationalize AI successfully in the enterprise.”

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Get in touch with us to learn more

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