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    AI-Native · Predictions Without Code

    Predict what matters,
    with the data you already have.

    CRiskCo Labs is the machine learning platform built for business teams. No code, no data scientists, no waiting on IT. Upload your data, define what you want to predict, and get a production-ready model in minutes.

    No credit card required · No installation · First model in under 30 minutes

    5x
    Parallel model training
    <100ms
    Inference latency
    Any source
    CSV, API, or live stream
    Multi-role
    Team-wide access control
    100%
    Audit-ready explainability
    Use Cases

    What can you predict?

    Labs is not limited to credit. Any business question with historical data can become a predictive model — across risk, operations, marketing, and compliance.

    ⚠️

    Default Risk

    Anticipate missed payments before they happen. Improve approval rates without increasing delinquency.

    • Probability of payment at 30/60/90 days
    • Portfolio segmentation by risk tier
    • Early warning signals on active accounts
    🔄

    Churn & Retention

    Identify customers at risk of leaving before they go. Trigger the right intervention at the right moment.

    • Churn score per customer or segment
    • Automated retention triggers
    • LTV prediction at 6 and 12 months
    🚨

    Fraud & Anomalies

    Detect unusual patterns in transactions, onboarding, or operations before they escalate into losses.

    • Real-time risk scoring via API
    • Alerts on atypical transaction behavior
    • Suspicious profile segmentation
    📈

    Demand & Growth

    Forecast product or service demand. Optimize inventory, pricing, and resource allocation with data.

    • Sales forecast by channel or region
    • Upsell opportunity identification
    • New product adoption prediction
    🔗

    Supplier Risk

    Assess the financial and operational health of your supply chain. Anticipate disruptions before they hit you.

    • Financial stability score per vendor
    • Tax behavior change alerts
    • Contract default probability
    🛡️

    Compliance Alerts

    Detect patterns that could trigger AML/KYC flags. Document and justify decisions for auditors and regulators.

    • Regulatory risk score per customer
    • Fully auditable models with decision trails
    • Exportable evidence for audit packages
    For the Whole Organization

    One platform.
    Every team.

    Labs is designed so different teams in your organization can build and use models without depending on a centralized data science team or opening a ticket with IT.

    Risk

    Credit Risk Teams

    Build, validate, and deploy scorecards and approval models directly from your team, with full traceability and explainability.

    • ·Credit approval scoring models
    • ·Probability of default (PD) prediction
    • ·Early warning signals on live portfolio
    • ·Model validation with backtesting
    Compliance

    Compliance & AML Teams

    Systematically identify regulatory risk patterns and produce documented, defensible records for your compliance officer.

    • ·AML/KYC risk score per customer
    • ·Unusual transaction pattern detection
    • ·Auditable models exportable for regulators
    • ·Full traceability by user and timestamp
    Marketing

    Marketing & CRM Teams

    Predict customer behavior to segment campaigns, identify high-value customers, and anticipate who's about to leave.

    • ·Churn score to activate retention
    • ·LTV prediction by segment
    • ·Purchase propensity for outbound campaigns
    • ·Upsell and cross-sell candidate identification
    Product

    Product & Operations Teams

    Use usage and behavioral data to prioritize features, anticipate friction points, and optimize onboarding funnels.

    • ·Activation and feature adoption prediction
    • ·Operational demand forecasting
    • ·Onboarding dropout risk scoring
    • ·Support intervention prioritization
    Finance

    Finance & Treasury Teams

    Enhance financial projections with predictive models covering portfolio exposure, liquidity, and expected loss.

    • ·Cash flow and exposure forecasting
    • ·Expected Loss (EL) reserve prediction
    • ·Portfolio stress-test scenario analysis
    • ·Risk concentration monitoring
    Commercial

    Sales & Commercial Teams

    Prioritize leads, predict deal size, and focus your sales team where there is the highest probability of closing.

    • ·Lead conversion score
    • ·Credit line size prediction
    • ·Purchase intent signals
    • ·High-potential company identification
    How It Works

    From your data to production
    in five steps.

    No code to write. No servers to configure. No waiting on IT.

    01

    Upload your data

    Drop a CSV with your historical data or connect an external source via API. Labs accepts any mix of numeric, categorical, or date variables. There's no required format.

    Supported: CSV · REST API · Google Sheets · SATWS (Mexican tax data)
    02

    Define what you want to predict

    Select the target column — the variable you want to predict. Labs automatically detects whether it's a classification problem (will they pay? will they churn?) or a regression (how much will they buy?).

    Binary classification · Regression · Automatic problem detection
    03

    Train 5 models in parallel

    The system automatically trains Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, and Neural Networks — each with hyperparameter optimization. You write zero lines of code.

    Auto-tuning · Cross-validation · No manual configuration
    04

    Compare and choose the best model

    Labs presents metrics for each model — AUC-ROC, accuracy, recall, Gini — alongside feature importance. You choose the one that best balances predictive power and interpretability for your use case.

    AUC · Gini · Feature importance · Visual ROC curves
    05

    Deploy and scale

    Activate your model as a REST endpoint with API-key authentication for real-time scoring. Or download batch predictions. Monitor latency and model drift from the dashboard.

    REST API · Batch scoring · Drift monitoring · <100ms latency
    Data Sources

    Works with the data
    you already have.

    You don't need SAT data to get started. But when you add it for Mexican businesses, the quality of your models improves significantly.

    📊

    Your CRM or ERP

    Export from Salesforce, HubSpot, SAP, or any internal system. If it has historical data, Labs can use it.

    📁

    Excel o CSV

    Drag and drop your file. Labs preprocesses columns, infers data types, and flags missing values automatically.

    🔌

    External APIs

    Connect any source via REST. Ideal for enriching your internal data with real-time external signals.

    🏛️

    SAT Data via CRiskCo

    For Mexican companies: invoices issued and received, RFC status, tax compliance history, declared revenue trends. Unique fiscal signals unavailable from any credit bureau.

    CRiskCo Advantage
    🔗

    Webhooks & Streaming

    Receive real-time events to update model features or trigger automatic scoring the moment a transaction occurs.

    🏢

    Bureau & Alternative Data

    Integrate credit bureau scores, geospatial data, digital platform behavior, or any alternative variable you already source.

    Questions & Answers

    Everything you need to know.

    Start predicting today.
    It's free.

    No credit card. No installation. Your first model in under 30 minutes.

    Want to see Labs in action first?

    View full product overview →

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