From raw data to validated scorecards without writing a single line of code. Calibr's AI agents handle data management, characteristic analysis, model development, and documentation. Everything runs locally on your machine.
Everything you need to build production-ready risk models
Like having a senior data scientist working alongside you — except they never sleep and they run entirely on your machine.
AI agents that actually do the work
Not a chatbot. A real agent that understands your data, suggests transformations, runs binning strategies, and walks you through model development step by step.
Automated characteristic analysis
Optimal WoE binning, IV calculation, correlation resolution, and VIF analysis — fully automated with manual override capability when expert judgment is needed.
Model development and scorecards
Logistic regression and tree-based models trained side by side. One-click scorecard generation with scaling configuration, cutoff simulation, and population shift analysis.
Total data privacy, always
Everything runs on your machine. Like PyCharm or VS Code — but built for credit risk and data science. No cloud. No uploads. No compromises on data sovereignty.
Characteristic Analysis PipelineRunning2m 14sPIPELINE STEPSProfiling dataset12,847 rows · 64 colsAnalyzing variables47 of 64 selectedRunning WoE binning32 of 47 variables04Correlation resolutionVIF + pairwise checks05Generating IV summaryRank + export reportAwaiting your approvalHuman-in-the-loopCURRENT OUTPUTWoE Distribution — AgeIV: 0.342018-2425-3031-3738-4546-5556-6565+0.342Information ValueStrong7Optimal BinsMonotonic32/47Variables ProcessedAGENT LOG14:32:08 Optimal bins for credit_util: 6 bins, IV=0.25114:32:11 Binning age — testing monotonicity constraints...14:32:14✓ age: 7 bins, IV=0.342, monotonic WoE confirmed
Agentic AI
Your AI copilot for every step
The agent understands credit risk workflows natively. Ask it to profile your data, recommend binning strategies, or explain model coefficients — it executes, not just advises.
Upload CSV, Excel, or Parquet. Get instant statistical profiling — distributions, missing value analysis, data quality scores — with AI-suggested cleaning pipelines.
Drag and drop any tabular data format
Auto-generated profiling and quality metrics
Visual transformation pipeline builder
Model Comparison — credit_risk_v2Trained2 models · 47 featuresMODEL PERFORMANCELogistic RegressionSelectedGini0.542KS0.387AUC0.77112 significant coefficients · p < 0.05XGBoostRunner-upGini0.561KS0.401AUC0.781Higher Gini but less interpretable for regulatorsSCORECARD — LOGISTIC REGRESSIONVariableBin RangeWoECoefficientPointsBarage56 – 65+0.710.84278income_monthly> 6,000+0.580.63464credit_util0.0 – 0.2+0.440.52152months_employed> 48+0.360.41841BASE SCORE500 + offset735/ 850 max
Model Development
Train, compare, and generate scorecards
Run logistic regression and tree-based models side by side. Pick the winner, then generate a production scorecard with point allocation in one click.
Side-by-side model comparison with full metrics
One-click scorecard with scaling and cutoff simulation
SHAP explainability and coefficient significance
Model Monitoring — credit_risk_v2.1StableLast updated: 2h agoHEALTH METRICSPSI0.04/ 0.10StableGini0.528/ 0.542-2.6%KS Statistic0.342/ 0.387-11.6%Calibration0.97H-L pGood fitPSI TREND — 12 MONTHS0.100.05MarMayJulSepNovJanFebCALIBRATIONPredicted ProbabilityObservedRECENT ALERTSFeb 14 KS degraded to 0.342 (-11.6% from baseline). Review recommended.Feb 01 Monthly stability check passed. All metrics within thresholds.Jan 15 Calibration H-L test: p=0.97. Model well-calibrated across all deciles.
Monitoring
Track stability and catch drift early
Continuous monitoring of discrimination, calibration, and population stability. Get alerted before your model degrades — not after.
PSI, Gini, KS, and calibration tracked over time
Automatic alerts when metrics breach thresholds
Regulatory-ready validation reports with one click
How It Works
Six integrated steps replace your entire toolchain
No more Excel, SAS, R scripts, and PowerPoint stitched together. One platform, one workflow, AI-assisted end to end.
01
Import and Profile
Upload datasets and get instant statistical profiling — distributions, missing values, and data quality metrics with AI-suggested cleaning steps.
02
Explore and Transform
Interactive EDA with automatic correlation detection and outlier flagging. AI agent recommends transformation pipelines tailored to your dataset.
03
Bin and Optimize
Automated optimal WoE binning with IV tracking, correlation resolution, and VIF analysis. Full manual override when expert judgment is needed.
04
Train and Compare
Logistic regression and tree-based models trained side by side with full coefficient analysis, SHAP explainability, and performance metrics.
05
Scale and Deploy
Convert models to production scorecards with point allocation, cutoff simulation, scenario comparison, and population shift analysis.
06
Validate and Document
Comprehensive validation with discrimination, calibration, and stability testing. Auto-generated documentation ready for regulatory review.
Why Calibr
Replace months of manual work with one integrated workflow
Stop stitching together fragmented tools and scripts. Start shipping validated models in days, not quarters.
Traditional Process
Excel, SAS, R Scripts, months of work
With Calibr
AI-Powered, local, integrated
Manual binning in spreadsheets
Automated WoE binning with AI suggestions
Copy-paste between Excel, SAS, Python
Single integrated workflow, start to finish
No version history or audit trail
Full project versioning and audit logging
Validation done separately, if at all
Built-in discrimination, calibration and stability tests
Weeks of documentation and approval
AI-generated documentation, one-click export
Data uploaded to cloud vendors
100% local — data never leaves your machine
Pricing
Start free. Scale when you're ready.
Full core workflow from day one. No feature gates on the fundamentals.