AI/ML model assistant
Get expert feedback on your model while you build it.
Corefind is an AI/ML assistant that speeds up model development and keeps models healthy in production.
The difference
Monitoring tools find problems. Corefind helps you avoid them.
Most tools step in once a model is live. Corefind starts at the first training run, so issues get fixed before they reach production.
Typical monitoring tools
Find problems after you ship.
Alerts arrive once the model is live, often after users have already been affected.
Corefind
Helps you avoid them from the first run.
Feedback while you build, rigorous tests before release, and monitoring once you’re live.
01 · Feedback while building
Feedback while you build, not after you ship.
Problem-specific guidance on what to fix and what to try next, for classification, regression, and clustering.
Classification
Regression
Clustering
Corefind feedback
Leakage risk
Your model relies on `account_age` for 60% of predictions. Check for leakage.
Fairness
Error rate is 3x higher for customers under 25. Review fairness and sampling.
Concept drift
Concept drift detected in `transaction_amount` (KS test, p < 0.01).
Diagnostics suite
Statistical tests
Feature importance
Anomaly detection
Over-reliance points
Fairness assessment
Error analysis
02 · Rigorous tests
Every finding backed by a statistical test.
Go beyond a single accuracy score. Corefind examines your model from every angle and shows the evidence behind each finding, so you know what to trust.
03 · Production monitoring
Catch the drift before your users do.
Track data drift, concept drift, prediction drift, and performance in production, with alerts when something changes.
Production monitor
Data drift
Stable
Concept drift
Alert sent
Prediction drift
Stable
Performance
Stable
Also included
Experiment tracking
Log runs, parameters, and metrics, and compare experiments side by side.
Ask in plain language
Chat with your results to get quick explanations of Corefind’s findings.
Comparison
Corefind vs. typical monitoring tools
Capability
Corefind
Monitoring tools
Feedback while building
✓
—
What to fix and what to try next
✓
—
Statistical test behind every finding
✓
Partial
Fairness and error analysis
✓
Partial
Data, concept, and prediction drift
✓
✓
Production performance alerts
✓
✓
Frequently asked questions
Build better models from the first run.
Feedback while you build, rigorous tests before you ship, and monitoring once you’re live, all in one assistant.