"We tried not-great options like LLMs for classification, then found Nyckel. They're the perfect fit for classification."
— CEO, Retailhub
Achieving production-ready accuracy involves training the model on your own data. Doing that with Nyckel takes just seconds. Learn more on our blog.
Confidence scores play a pivotal part in understanding the classification result. Only discriminative AI tools like Nyckel can provide confidences scores accurately. Learn more on our blog.
LLMs with fine-tuning tools don't come with a UI for easy data management. Meanwhile, Nyckel's UI lets anyone on the team see uploaded samples and make tweaks on the fly.
Alternatively, Nyckel provides a prompt-free API that charge only for # of classifications.
With our volume discounts, Nyckel becomes a more cost-effective solution as you scale.
Nyckel offers 100s of pretrained classifiers you can access immediately - or clone and improve upon yourself! Check out the full list here.
Nyckel is an AI platform build specifically for classification
Ensures these models have high accuracy.
Your models can train with a few as 2 samples per class.
Pay only for what you use - not for idle GPU time.
LLMs | ||
---|---|---|
Accuracy | Decent accuracy from a basic prompt. Plateaus without training. | The ability to train on custom samples means constant improvement over time. |
Confidence scores | GenAI wasn't built to return trustworthy confidence scores. | Nyckel was built to provide scores you can trust. |
Fine-tuning | You have to upload a new file with all the old samples. | You can add new samples without worrying about what was already uploaded. |
UI Management | Once you upload samples, there's no easy way to see or fix annotations. | Nyckel's UI provides clear visibility into every uploaded sample. |
Deployment | Manual. Involves an engineer uploading the new folder. | Automatic. Anyone can add a new sample and annotate, and the model auto-redeploys. |