Airtrain AI is an AI data platform that provides tools for dataset curation, fine-tuning, and evaluation of large language models (LLMs), enabling data science teams to efficiently organize and enhance their unstructured data. By automating data insights and model customization, Airtrain AI reduces the cost of LLM deployment by up to 90% while improving model performance.
Funding
$3.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RCFounders
Product
Problem
Data science teams face challenges in organizing, understanding, and improving the quality of unstructured data used to train and evaluate large language models (LLMs). Identifying relevant data subsets, removing noise, and customizing models for specific use cases requires significant manual effort and infrastructure investment.
Solution
Airtrain AI provides an AI-powered data platform that streamlines the process of curating, fine-tuning, and evaluating LLMs. The platform offers tools for dataset exploration, visualization, and auto-clustering, enabling users to discover semantic clusters and hidden patterns within their data. By automating data insights and model customization, Airtrain AI reduces the cost of LLM deployment and improves model performance. The platform allows users to fine-tune open-source models on curated datasets, set up evaluation harnesses, and export the models for deployment.
Target Audience
Airtrain AI targets enterprise data science teams that are building, customizing, and deploying LLMs and need tools to efficiently manage and improve the quality of their training data.
Features
- Dataset exploration and visualization tools for understanding unstructured data
- Auto-clustering algorithms to discover semantic clusters and hidden patterns
- Zero-shot labeling and classification capabilities for efficient data annotation
- LLM fine-tuning platform supporting models like Mistral 7B, Llama 3, and Gemma
- LLM evaluation tools for comparing model performance on custom datasets
- Integration with open-source LLMs to reduce inference costs
- Support for exporting fine-tuned models for deployment