---
title: "Clairic"
description: "1 posts about Clairic, summarised, each linking to the original."
---

# Clairic
> 1 posts about Clairic, summarised, each linking to the original.

## Articles

### [Introducing Clairic, a new System One class of extraction models](https://yomu.fyi/post/introducing-clairic-a-new-system-one-class-of-extraction-models.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Kevin Flansburg
- Published: Oct 19, 2026
- Type: Announcement

Cloudflare announces Clairic, a preview extraction model hosted on Workers AI, designed as a System One model for fast, one-pass value extraction from unstructured inputs. Unlike decision models such as Jev or Clef that output probabilities, Clairic returns extracted, computed, estimated, or forecasted typed values like numbers, dates, durations, and spans with character offsets and confidence scores. It processes only input tokens in a single forward pass, resulting in under-one-second responses and no output token charges, ensuring every answer is a valid typed value or null. The model handles extraction tasks like invoice numbers, estimation with distributions providing a median and 80% interval, and forecasting per future step with intervals, all without token generation. Cloudflare plans to release Clairic as open-weights soon and offers it via Workers AI with a typed field request structure accessible through env.AI.run() or the REST API.