Trellis Introduction
Trellis is an AI-powered data platform that enables SQL queries on unstructured data through LLM-based schema generation and extraction.
View MoreWhat is Trellis
Trellis is an innovative data platform that combines large language models (LLMs) with a query processor to analyze complex, unstructured data sources. It allows users to run SQL queries on formats like PDFs, HTML, images, and audio files without needing to build custom data pipelines. Trellis automates the process of defining schemas and extracting structured information from unstructured data, making it easier for organizations to gain insights from their entire data ecosystem.
How does Trellis work?
Trellis works by using natural language processing to define schemas for unstructured data sources. Users can describe their desired schema in plain language, and Trellis handles the complex task of mapping that schema onto the raw data. Its AI-powered extraction engine then processes various file formats, using computer vision and language understanding to identify and extract relevant information. The platform integrates with over 200 data sources and can run on top of existing data warehouses. Trellis also employs real-time monitoring to flag anomalies and outliers, ensuring high data quality for analytics.
Benefits of Trellis
By using Trellis, organizations can unlock insights from previously inaccessible unstructured data, comprising up to 80% of their information. It dramatically reduces the time and effort required for data preparation and analysis. The platform enables diverse use cases such as analyzing customer communications, automating contract reviews, enhancing underwriting processes, and extracting web data at scale. Trellis empowers data teams to process large volumes of unstructured data in real-time, identifying revenue opportunities, compliance risks, and user behavior patterns without the need for extensive manual work or specialized data engineering skills.
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