Trellis
Trellis is an AI-powered data platform that enables SQL queries on unstructured data through LLM-based schema generation and extraction.
https://runtrellis.com/
Product Information
Updated:Nov 9, 2024
What 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.
Key Features of Trellis
Trellis is an AI-powered data integration and transformation platform that enables organizations to run SQL queries on complex unstructured data sources like documents, emails, and audio files. It combines large language models with a query processor to extract insights from 200+ data sources, automate data pipelines, and improve data quality through anomaly detection.
AI-powered transformation: Define schemas in natural language and automate data pipeline creation without manual coding.
Unstructured data processing: Extract insights from PDFs, HTML, images, and audio files using vision AI and parsing engines.
200+ data integrations: Connect directly to hundreds of data sources and existing data warehouses.
Real-time monitoring: Automatically flag outliers and anomalies to improve data quality.
Use Cases of Trellis
Customer interaction analysis: Process large volumes of calls and emails in real-time to identify revenue opportunities and compliance risks.
Automated contract review: Extract key provisions and data points from thousands of documents like invoices and contracts.
Underwriting and fraud detection: Quickly extract information for underwriting and automate fraud detection by identifying anomalies in financial documents.
Competitive web scraping: Extract pricing, inventory, and review data from competitor websites at scale to inform pricing strategies.
Pros
Enables analysis of previously inaccessible unstructured data
Automates manual data pipeline creation and transformation
Integrates with a wide range of data sources
Improves data quality through automated anomaly detection
Cons
May require significant computing resources for large-scale deployments
Potential privacy concerns when processing sensitive unstructured data
How to Use Trellis
Sign up for Trellis: Visit the Trellis website at runtrellis.com and sign up for an account or book a demo to get access to the product.
Define your schema: Use natural language to define the schema for your unstructured data. Trellis will use this to structure your data.
Connect data sources: Integrate Trellis with your existing data sources or data warehouse using one of the 200+ available integrations.
Upload unstructured data: Upload your unstructured data files (PDFs, HTML, images, audio) to Trellis for processing.
Run queries: Use SQL to query your now-structured data across all connected sources.
Review results: Examine the query results and insights extracted by Trellis from your unstructured data.
Monitor data quality: Utilize Trellis' real-time monitoring to flag outliers and anomalies in your data.
Trellis FAQs
Trellis is an AI-powered data processing and analysis platform that combines large language models with a query processor to extract insights from unstructured data sources like PDFs, HTML, images, and audio files.
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Analytics of Trellis Website
Trellis Traffic & Rankings
2.6K
Monthly Visits
#5323297
Global Rank
-
Category Rank
Traffic Trends: Jul 2024-Nov 2024
Trellis User Insights
00:02:11
Avg. Visit Duration
2.54
Pages Per Visit
53.77%
User Bounce Rate
Top Regions of Trellis
US: 70.88%
IN: 29.12%
Others: NAN%