FiddleCube
FiddleCube, previously known as ZKomm and Devpod, is a B2B infrastructure company based in San Francisco, CA, specializing in generating high-quality, private datasets for fine-tuning large language models (LLMs).
Company Overview
FiddleCube, formerly known as ZKomm and Devpod, is a B2B infrastructure company based in San Francisco, CA, USA. The company specializes in helping developers fine-tune and deploy large language models (LLMs) with synthetic data. FiddleCube participated in Y Combinator's W23 batch and primarily operates within the United States of America and America/Canada regions.
Services
FiddleCube offers a range of services designed to help developers who lack the resources to create annotated training datasets for fine-tuning and reinforcement learning. Their solutions include generating private, high-quality datasets for customers wanting custom LLMs, providing services for dataset generation, rule-based generation, data labeling, dashboard analytics, and support for low-resource languages. They offer both a free test option for generating test datasets at no cost and a PRO plan for unlimited dataset generation and premium support.
Products
FiddleCube's core product offerings revolve around synthetic data solutions for large language models (LLMs). Their systems support generating synthetic data, fine-tuning LLMs with custom data, and personalizing LLMs. They provide features for both human-in-the-loop and AI-in-the-loop feedback for model production. Their PRO plan offers enhanced services including unlimited dataset generation, rule-based generation, data labeling, dashboard analytics, low resource language support, and premium customer support.
Y Combinator Participation
FiddleCube was part of Y Combinator's W23 batch. This backing from one of the world's leading startup accelerators has provided additional support and credibility to FiddleCube as they develop their offerings in synthetic data and LLM fine-tuning. Participation in Y Combinator helps establish the company's role and expertise within the B2B infrastructure industry.
Client Use Cases
Clients of FiddleCube utilize their services for multiple purposes related to large language models (LLMs). These use cases include generating synthetic data, fine-tuning LLMs with custom datasets, personalizing LLMs according to specific needs, and applying human-in-the-loop and AI-in-the-loop feedback for model production. Additionally, FiddleCube's services are used for AI alignment and data labeling, providing comprehensive solutions for developers and businesses in need of high-quality annotated datasets.