An Autonomous ML Engineering Partner
Tensor automates complex MLOps tasks to ensure your models are always high-performing and reliable.
Automated Model Training & HPO
Run model comparisons (XGBoost, LightGBM) and leverage Optuna for hyperparameter optimization to produce leaderboard-topping models.
Bias, Drift & Fairness Analysis
Go beyond accuracy. Tensor automatically produces bias reports, detects concept drift, and analyzes fairness to ensure responsible AI.
Model Registration & Lineage
Automatically version and register models, tracking the full data and code lineage for complete reproducibility and governance.
The Core of Your Modeling Engine
Tensor takes the feature-rich data from Seer and transforms it into a production-ready model, ready for deployment by Forge.
Accelerating Every ML Workflow
Tensor streamlines MLOps, from initial training to continuous monitoring and retraining.
Predictive Model Training
Build high-performance models for churn prediction, risk scoring, demand forecasting, and more.
Fine-Tuning Embedding Models
Optimize embedding models for domain-specific terms to power more accurate RAG and search applications.
One-Click Model Deployment
Prepares models to be seamlessly wrapped in API endpoints and deployed to staging or production by Forge.
Continuous Evaluation
Automatically monitor production models for drift and performance degradation, triggering alerts and retraining jobs.
MLOps Automation
Integrate with CI/CD systems to fully automate the testing, validation, and promotion of models.
Responsible AI Reporting
Generate fairness, bias, and explainability reports to ensure your models are transparent and trustworthy.