Classify with Confidence
Seamless text classification with built-in quality control.
Calibrated confidence scores to catch errors before they happen.
5 Lines of Code
Hot swap with any LLM API call to instantly get precise text classification with no extra work.
python
from flux_client import Flux
client = Flux()
input = "08/29 McDonalds"
labels = ["Meals", "Snacks", "Coffee"]
response = client.classify(input, labels)Flux matches the best prompt engineered result out of the box.
Stop Writing Prompts
LLM classification as a simple function call: Same syntax, optimal accuracy, and zero hallucinations across all datasets.
Confidence is Key
From black box to glass house. Use confidence scores to flag uncertain outputs for targeted review.
Input: 08/16 McDonalds XXXX-1678 Madison, WI
Improve Over Time
Start with state-of-the-art zero shot accuracy from the best LLMs, and fine-tune them to your personal datasets.
Calibrate confidence scores to optimize accuracy/volume tradeoff.
Fine tune classifiers to get better, cheaper, and faster predictions.
Contact Us
Got a classification task? Reach out and we can help you get started with Flux for free.