Veritone Clarity BETA

Gain visibility into the behavior and performance of AI models, building trust and explainability and reducing risk.

WHO BENEFITS WITH VERITONE CLARITY

  • Enterprise Business Leaders
    Insure your strategic AI projects against unforeseen results such as bias by clearly understanding performance metrics, behavioral traits, and risk levels of your AI models. Maximize project success and minimize unpredictable AI behavior that could have devastating consequences.
  • AI Development Teams
    Gauge performance and behavior of AI models and easily compare results across AI models to deploy the most optimal models for the job - whether the models are homegrown, third party, or aiWARE based. Evaluate models initially and monitor their performance over time.
  • System Integrators
    Deliver projects leveraging transparent and trusted AI models from the aiWARE operating system for AI, or third party models. Continue monitoring your AI models as data inputs change over time to ensure optimal performance and risk levels. Easily evaluate new AI models as AI technology evolves.
  • Technology Providers
    Integrate Clarity into your own AI-based applications to reassure your users that the digital workers they depend on are producing the most reliable and trustworthy results.

Ensure AI Model Success

Many AI projects fall short of expectations due to poor model performance or the unintended consequences of inaccurate AI decisions. From a text extraction model producing inaccurate output requiring correction, to a facial recognition model failing to correctly identify race, to a job seeker evaluator model preferring male candidates, AI model failures can stop an AI project dead in its tracks.

Organizations implementing AI need a universal way to evaluate and monitor the performance and behavior of their AI models, both pre-deployment and ongoing, no matter the vendor or features used.

Veritone Clarity helps organizations easily evaluate, compare, and monitor performance and behavior across AI models, whether homegrown, third party, or aiWARE-based, building AI model trust and explainability. Select the best AI model for the job, detect drift and correct it to achieve better business outcomes.

Evaluate and Explain Your AI Models

Veritone Clarity provides easy to understand dashboard views on key metrics for AI model effectiveness, to enable engine evaluation, comparison, and ongoing monitoring in production. Dashboard metrics include accuracy, processing time, cost, bias & variance, vulnerability, and explainability.
Clarity explains the behavior of AI models by measuring and reporting on the factors or features that influence its decision making. For example, an audio transcription AI model’s features that explain its behavior and output might include audio quality, background noise, multiple speakers, subject matter, speaking speed, accent, gender, and age.

Use Clarity on your own AI models, another vendor’s models, or aiWARE’s ecosystem of hundreds of audio, video, text and data extraction models.

Capabilities

  • future proof icon
    Future Proof AI

    Pre-integrated with aiWARE, the first OS for AI, Clarity delivers model evaluation across an ecosystem of the best AI engines available – avoid single vendor technology dependencies when AI models change or new ones become available.

  • AI Model Certification

    Foster trust in your AI models by proudly displaying Veritone’s Clarity certification seal. Veritone’s innovative AI model certification process ensures that your model meets minimum acceptable performance and explainability standards for that cognitive category.

  • Automatic Drift Detection and Notification

    Pre-integrated with the Veritone Automate Studio low-code workflow designer, Clarity’s ongoing monitoring detects and automatically responds to model drift by comparing questionable results to the baseline, and if a drift trend is detected, triggering a notification for human review and model re-evaluation with Clarity.

  • Universal Across Models

    Perform universal accuracy comparisons across models – whether custom, third party, or aiWARE – with a single tool and dashboard view, making performance evaluation across models a snap.

  • Initial and Ongoing Monitoring

    Create model scorecards to gauge initial model performance and identify risk early. Monitor on an ongoing basis to detect and correct model drift or re-evaluate as models change or need replacing.

  • Pre-Built and Custom Data Sets

    Get started quickly with pre-built AI model dashboards for select aiWARE engines and data sets, with the additional flexibility of importing custom data sets for homegrown or third party model evaluation.

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