Train a Prediction Model in Minutes, Not Months
Build predictive models on Synthetiq — upload a dataset, define what you want to predict, and get a trained model in minutes. Multiple algorithms compete in parallel. Feature importance shows you why. Accessible to every team, with or without data science expertise.
You Have the Data. Using It Shouldn't Be This Hard.
Getting from raw data to a deployed prediction model requires ML tooling, infrastructure, and domain context to come together, and that coordination takes time. By the time a model ships, the business question has often moved on.
What Teams Build
10+ Algorithms in Parallel
Build a model by defining a target: churn, demand, defects, attrition. AutoGluon trains LightGBM, CatBoost, XGBoost, Random Forest, Neural Networks, and Ensembles simultaneously. Hyperparameters tuned automatically.
Feature Importance — Not a Black Box
See which variables drive predictions. Is it login frequency? Time since last purchase? Support ticket volume? Rank features by importance. Build trust in the model before deploying it.
Time Series Forecasting
Feed in historical data: revenue, enrollments, production volumes. Get forecasts with confidence intervals, trend decomposition, seasonality detection, and anomaly identification.
Risk Classification
Train binary classifiers to identify at-risk customers, students, patients, or assets. Configurable risk tiers with threshold tuning. Explain every prediction in business terms.
Model Leaderboard
Compare algorithms by accuracy, speed, and resource usage. Human-readable descriptions explain each approach. Pick the model that fits your accuracy and latency requirements.
AI-Narrated Results
The AI generates executive summaries from model outputs. Not just predictions, but explanations of what drives them, what they imply, and what actions to take. Results anyone on the team can understand and act on.
What Teams Build
10+ Algorithms in Parallel
Build a model by defining a target: churn, demand, defects, attrition. AutoGluon trains LightGBM, CatBoost, XGBoost, Random Forest, Neural Networks, and Ensembles simultaneously. Hyperparameters tuned automatically.
Feature Importance — Not a Black Box
See which variables drive predictions. Is it login frequency? Time since last purchase? Support ticket volume? Rank features by importance. Build trust in the model before deploying it.
Time Series Forecasting
Feed in historical data: revenue, enrollments, production volumes. Get forecasts with confidence intervals, trend decomposition, seasonality detection, and anomaly identification.
Risk Classification
Train binary classifiers to identify at-risk customers, students, patients, or assets. Configurable risk tiers with threshold tuning. Explain every prediction in business terms.
Model Leaderboard
Compare algorithms by accuracy, speed, and resource usage. Human-readable descriptions explain each approach. Pick the model that fits your accuracy and latency requirements.
AI-Narrated Results
The AI generates executive summaries from model outputs. Not just predictions, but explanations of what drives them, what they imply, and what actions to take. Results anyone on the team can understand and act on.
From Data to Deployed Model
Pick What to Predict
Customer churn, enrollment forecast, equipment failure, demand spike. Define the target from your existing data.
Pick What to Predict
Customer churn, enrollment forecast, equipment failure, demand spike. Define the target from your existing data.
Train 10+ Models at Once
AutoGluon trains every algorithm in parallel. Tunes hyperparameters automatically. Builds ensemble models that combine the best performers. Results in minutes.
Train 10+ Models at Once
AutoGluon trains every algorithm in parallel. Tunes hyperparameters automatically. Builds ensemble models that combine the best performers. Results in minutes.
Understand Why
Feature importance shows which signals matter. The AI translates model outputs into business language. Stakeholders understand the predictions, not just the numbers.
Understand Why
Feature importance shows which signals matter. The AI translates model outputs into business language. Stakeholders understand the predictions, not just the numbers.
Deploy and Act
Score new data automatically on schedule. Alert when risk thresholds are breached. Predictions run inside your app on a reliable schedule, always current, always accessible.
Deploy and Act
Score new data automatically on schedule. Alert when risk thresholds are breached. Predictions run inside your app on a reliable schedule, always current, always accessible.
Train Your First Model This Week
We'll help you train a prediction model on your actual dataset and walk through the leaderboard in your first working session.
Request a Demo