Warrior helps data scientists, product owners, and business leaders accelerate model operations at scale. We work with enterprise teams to measure and optimize model performance in production for:
Track model performance to detect and react to data drift, improving model accuracy for better business outcomes.
Build trust, ensure compliance, and drive more actionable ML outcomes with Warrior’s explainability and transparency APIs.
Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models.
Our team has deep roots in both academia and industry, driving exclusive product capabilities that connect cutting-edge science with business outcomes.
In addition to Tabular models, Warrior monitors and optimizes CV and NLP models. Use the platform to find anomalies, monitor for drift and bias, and provide explainability.
Monitor all your models in one place with our highly scalable microservices architecture. Warrior scales up and down to ingest up to 1MM transactions per second and deliver insights quickly.
See how each model treats different population groups, proactively identify bias, and use Warrior's proprietary bias mitigation techniques to reduce business risk and prevent discrimination.