Predictions

Predict Any Field — With One Query

Aito's _predict endpoint returns the most likely value for any field in your dataset, along with a calibrated confidence score. No model training, no feature engineering, no deployment pipeline. Upload your data and start predicting.

Invoice prediction with 99% confidence showing explainable AI reasoning — base probability times pattern match

Explainable predictions — Aito shows why it predicted David Green with 99% confidence, breaking down base probability and pattern match


Try Live Predictions

Run real prediction queries against our demo database. Every result includes a probability score — Aito tells you exactly how confident it is.

Live Prediction Demo

These queries run against our demo invoice database in real-time

Multi-field Prediction

Predict the GL code for a cloud services invoice based on product, amount, and type

Aito Query
{
  "from": "invoices",
  "where": {
    "ProductName": "Cloud Services (AWS/GCP)",
    "TotalAmount": 5000,
    "InvoiceType": "Service"
  },
  "predict": "GLCode"
}

How It Works

1. Upload Your Data

Send your dataset to Aito as a table — CSV, JSON, or via API. No preprocessing required.

2. Write a Predict Query

Specify which field to predict and what you know:

{
  "from": "invoices",
  "where": {
    "ProductName": "Cloud Services (AWS/GCP)",
    "TotalAmount": 5000.00
  },
  "predict": "GLCode"
}

3. Get Results with Confidence

Every prediction includes a calibrated probability. Use it to set automation thresholds — route high-confidence predictions to automation, low-confidence to human review.

Key capabilities:

  • Any field as target — predict GL codes, categories, assignees, or any other field
  • Confidence scoring — calibrated probabilities on every prediction
  • Multiple inputs — use any combination of known fields as context
  • No retraining — add new data and predictions update immediately

Where This Is Used


Get Started

Start for free → Upload your data and make your first prediction in minutes.

Read the API docs → Full reference for the predict endpoint, confidence scoring, and evaluation.