Predictive Intelligence
Turn Your Data
Into Reliable Predictions
Upload structured datasets. Train supervised classification models. Deploy scoring pipelines that return calibrated probabilities and risk classes
—in minutes, not months.
Encrypted · Same-session training · Instant scoring
High-volume scoring
Scales to millions of rows
Multi-model support
Classification & regression
Low-latency inference
Optimized for real time
Fast time-to-value
First model, same session
Predictive Intelligence Engine
AI-Powered Machine Learning
Every prediction is backed by a rigorous ML pipeline — from automated data preparation through calibrated probability output. Upload your structured data, select what you want to predict, and deploy models that return calibrated probabilities and risk scores — no data science team required.
Supervised Machine Learning
The platform trains gradient boosting, random forest, logistic regression, and SVM models — automatically selecting the best algorithm for your data. You get the most accurate model without needing to know which algorithm to choose.
Automated Preprocessing
Auto-detects numeric and categorical columns, handles missing values, scales features, and encodes categories. Just upload your raw data and the platform handles the rest — you never touch a spreadsheet formula or write a cleaning script.
Hyperparameter Tuning
Randomized search with cross-validation automatically finds optimal model parameters. Every model is fine-tuned for peak performance, delivering more accurate predictions out of the box.
Probability Calibration
Platt scaling and isotonic regression ensure probability outputs are statistically meaningful. A fraud team can flag anything above 60% as suspicious. A sales team can prioritize leads above 75%. You set the threshold that fits your goals and risk tolerance.
Real-Time Scoring
Score individual records via API with sub-second latency using in-memory model caching. A checkout page can flag risky orders before they process. A CRM can score leads the moment they come in. Plug predictions into any system that needs answers now.
Batch Processing
Upload CSV files to score thousands of records asynchronously. Score your entire customer base for churn risk, run a claims backlog through a fraud model, or rank every open vulnerability by severity. Whatever your use case, upload the file and download scored results when ready.
End-to-End Workflow
The Pipeline
Five steps from raw data to production predictions. Each stage is automated, auditable, and fully managed.
Upload
Upload CSV or Parquet datasets via UI or API. Auto-schema detection profiles every column. Import from Kaggle or UCI repositories.
Clean
Profile, transform, and prepare your data in Data Studio. 10 built-in cleaning operations with automatic anomaly detection and class balancing.
Train
Select a target column and model type. The engine handles preprocessing, algorithm selection, hyperparameter tuning, and calibration.
Deploy
Deploy scoring pipelines with one click. Models are serialized to object storage with LRU caching. API endpoints provisioned automatically.
Predict
Score single records or batch CSVs. Every prediction returns calibrated probabilities, confidence scores, risk tiers, and feature contributions.
No advanced mathematics or machine learning expertise required — the platform handles data preparation, model training, probability calibration, and scoring automatically.
What data do you need? A spreadsheet with descriptive columns about each record and one column with the outcome you want to predict. For example, a customer list with age, income, purchase history, and a "churned" column showing yes or no. You select that outcome column, and the platform learns the pattern from your historical data to predict new records. The more relevant columns you include, the more accurate your predictions.
Use Cases
From cybersecurity and fraud prevention to financial forecasting and operational risk — train predictive models on your organization's data to detect, classify, and prioritize outcomes before they happen.
Network Intrusion Detection
Identify unauthorized access attempts, port scanning, lateral movement, and anomalous traffic patterns in real time. The platform learns from historical network logs to flag threats before they escalate.
Insider Threat Detection
Detect compromised credentials, privilege escalation, and abnormal user behavior. Train models on access logs, file activity, and authentication events to surface internal risks.
Phishing & Social Engineering
Classify emails, URLs, and messages as legitimate or malicious. Feature extraction on sender patterns, content anomalies, and link characteristics delivers high-confidence phishing scores.
Fraud Detection
Score transactions in milliseconds with calibrated probability outputs. Identify synthetic identities, account takeover, and payment fraud with configurable risk thresholds.
Vulnerability Risk Scoring
Prioritize CVEs and security vulnerabilities based on exploitability, asset criticality, and environmental factors. Move beyond CVSS with ML-driven risk prioritization.
Physical Security Assessment
Predict security incidents at facilities using sensor data, access logs, and environmental inputs. Correlate temporal patterns to forecast high-risk windows.
Every model outputs calibrated probabilities, confidence scores, and risk tier classifications — when the platform predicts a 73% probability, that assessment is statistically calibrated, meaning 73 out of 100 records scored at that level match the predicted outcome, and that is what separates predictive intelligence from simple rule-based scoring.
Model Types
Four purpose-built model architectures covering every predictive task — from binary threat classification to long-range forecasting.
Classification
Binary and multi-class classification with calibrated probability outputs. Train models that answer yes/no questions with statistical confidence — is this transaction fraudulent, is this email a phishing attempt, will this employee churn?
Regression
Predict continuous values with precision. Estimate financial exposure, forecast threat volume, calculate expected loss, or predict time-to-resolution for security incidents.
Risk Scoring
Calibrated risk scores with configurable Low / Medium / High thresholds. Every record receives a probability-backed risk tier with color-coded classification. Built for security operations, compliance teams, and regulated industries.
Forecasting
Time-series forecasting with trend decomposition and seasonality detection. Predict future threat volumes, incident rates, resource needs, and capacity requirements with confidence intervals.
Platform Capabilities
A complete ML operations platform — from data ingestion through production scoring — built for teams that need reliable predictions without the infrastructure overhead.
Dataset Management
Upload CSV and Parquet files with automatic schema detection. The platform identifies column types, missing values, unique counts, and data distributions — building a complete profile of your data before training begins.
Automated Model Training
Select a target column and the engine handles everything: feature preprocessing, algorithm selection, hyperparameter tuning via cross-validation, and model serialization. Training jobs run asynchronously so you never wait.
Scoring & Predictions
Score individual records in real time or upload CSV batches for bulk processing. Every prediction returns calibrated probabilities, confidence scores, risk tier classifications, and per-feature contribution analysis.
Probability Calibration
Raw model outputs are transformed through Platt scaling or isotonic regression so probability scores reflect true event likelihood. Monitored via Brier scores and Expected Calibration Error (ECE).
RESTful API Access
Every model gets production-ready API endpoints for single-record and batch scoring. JWT-authenticated, org-scoped, with automatic token refresh. Integrate predictions directly into your existing security stack.
Security & Multi-Tenancy
Organization-scoped data isolation with role-based access control (Owner, Admin, Member). All data encrypted at rest and in transit. Complete audit trail of every dataset, model, and prediction.
Enterprise Trust
Built for regulated industries with the security and compliance your team requires.
Secure Authentication
JWT-based authentication with short-lived access tokens, refresh token revocation, and bcrypt password hashing.
Role-Based Access
Three-tier permission system — Owner, Admin, and Member — so you control exactly who can train models, score data, or manage the organization.
Tenant Isolation
Every dataset, model, and prediction is scoped to your organization. No data is ever shared or accessible across accounts.
Secure by Design
All API endpoints are authenticated and org-scoped. Token revocation, membership gating, and cascade deletion keep your data protected.
Turn Your Data Into Predictions
Upload a dataset, pick what you want to predict, and let the platform do the rest. No configuration, just answers.