# Simo

> Extract typed values and scored decisions from multimodal inputs

Simo is a model API that returns structured values and decisions from text, screenshots, and video. Developers specify the questions and output types they need, such as an order identifier, an amount, a category, or a yes-or-no judgment. Several questions can share one input, allowing a workflow to extract fields and choose its next step in the same request.

The responses include confidence information intended to support automated handling or escalation for review. Simo offers two model options for different workloads and can be used for document processing, support routing, and interpreting application screens. Developers still need to evaluate its accuracy on their own material and choose thresholds appropriate to the action being taken.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/simo
- Official website: https://www.temprl.org/
- Category: Artificial intelligence / AI models & model access
- Status: Launched
- Topics: API, Data extraction, Decision models, Image analysis, Inference
- Listing updated: 2026-11-04T01:56:29.485Z
- Information source: https://www.temprl.org/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.