The Truera Model Intelligence Platform
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Enterprise-Class AI Explainability
Analyze Machine Learning.
Improve Model Quality.
Build Trust.
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Eliminate the machine learning black box with Model Intelligence
Truera helps data science teams improve the business impact of machine learning in five key ways:
Analyze and Explain Machine Learning
Truera’s enterprise-class AI explainability enables data scientists to explain model predictions and gain new insights into model behavior that can improve the development, governance, and operationalization of models.
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Improve Model Quality
Achieving business results with machine learning requires not just high accuracy but high quality. Models need to meet their application business requirements and to be stable, reliable, explainable, and fair. Truera model quality analytics help data scientists improve their model quality so that their models deliver better business results.
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Reduce Risk, Mitigate Bias, Build Trust
Trusting black box machine learning models is hard. Machine learning projects are subject to high rates of failures, delays and over-budget spending. They can also introduce compliance and reputational risks from unintentional unfair bias. Truera increases trust by allowing data scientists to analyze, govern, and explain their models to business, operations, model validation, compliance, and regulatory teams.

Operationalize and Monitor with Confidence
Changing conditions such as COVID-19 can cause models to break — they need new, sophisticated monitoring and management oversight. Truera enables data scientists to monitor and understand data drift, concept drift, and model quality over time.

Boost Efficiency and Speed Time to Market
Truera’s model intelligence, governance, and collaboration capabilities increase data scientist efficiency and machine learning model time to market. This not only lowers project costs but also enables businesses to realize the value of machine learning-driven improvements far faster than before.
