# Levanto

> Levanto provides Sage, a decision model that lets running software ask semantic yes/no questions and get answers with probabilities at runtime.

Levanto, built by Levanto Labs, offers Sage, which it describes as the first decision model. It lets a running program ask questions about meaning and continue based on the structured answer, rather than relying only on hand-written pattern matching.

## What It Is

Sage is a runtime decision model used from application code. Instead of matching known patterns with regexes, the program passes a document and a question, such as "Contains personal information?", to Sage through a decide call. Sage returns a structured response containing an answer (yes, no, or null) and a probability.

## How the Runtime Loop Works

The homepage example shows the flow: the application asks, Sage responds, and the program continues. A yes answer blocks a document, a no answer publishes it, and a null or uncertain answer routes it to a person for review. The homepage contrasts this with regex checks that miss names and addresses, for example in the sentence "Maya Chen lives at 14 Cedar Lane."

## Where to Learn More

The site links to documentation, a model page, benchmarks, case studies and a thesis page. The homepage scene list references example domains such as refunds, security, trading, cattle, Mario and chess.

## Features
- Runtime semantic yes/no decisions from application code
- Structured answer with probability output
- Null answer for uncertain cases to route to human review
- Natural-language questions instead of regex pattern matching

## Platforms
WEB, API

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://levanto.ai
- Documentation: https://docs.levanto.ai/
- EveryDev.ai: https://www.everydev.ai/tools/levanto