AI Pipelines

Explore use cases using Matillion AI pipelines

Sentiment Analysis

Extract customer sentiment—positive, negative, neutral—from unstructured data.
Choose data sources to analyze; for example, customer reviews, social media posts, or survey responses.
Find valuable insights into customer attitudes, product reception, brand perception, and more.

Ticketing

Leverage AI pipelines to process unstructured ticket data.
Use data to enhance business workflows; for example, prepare draft responses, predict issues, prioritize and categorize tickets.
Scale resources, improve resolution rates, and boost productivity.

Insights Extraction

Automatically analyze and summarize large volumes of unstructured data (e.g., PDF data)
Identify key insights, trends, and patterns that might be overlooked in manual analysis
Extract from any type of PDF, including financial reports, legal documents, market research, and legal contracts.

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How Matillion empowers your team with AI pipelines

Put AI into production without the learning curve to unlock GenAI and advanced analytics use cases throughout your business.

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Empower data engineers to build AI pipelines

Your team can get started quickly using their current expertise. Matillion’s Large Language Model (LLM) integrations, Maia, and no-code components make AI accessible to all.

Unlock value from unstructured data

Transform unstructured data, such as insights from customer reviews, into structured insights. Use Retrieval Augmented Generation (RAG) with vector stores to educate LLMs on your data for responses tailored to your business.

Accelerate AI value in business workflows

Quickly demonstrate the value of AI by integrating generative AI into existing business processes, and see results in minutes rather than months.

Use prompt components

With Matillion's AI prompt component, you can bring LLMs, such as ChatGPT, directly into data pipelines to transform and enrich any data type from structured to unstructured. With a click of a button, you can swap models in and out to ensure best performance.

Educate your LLM using RAG

Enable RAG in data pipelines to look up vector store data and contextualize business insights with no coding required.

Connect to vendor stores

Load data into vector stores (such as Pinecone) and reference from vector stores within your data pipelines.

Understand AI data lineage

See data lineage on AI pipelines to make AI explainable. For example, you can have visibility into all data in vector stores.

Explore Matillion’s features for AI and analytics workloads

One unified platform

Robust connectivity

LLM prompt component in pipelines

RAG support

Matillion Lineage

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Maia

See how our customers are managing their workloads with Matillion

Data-led personalisation for a superior client experience

For anybody in this space, Matillion is a breath of fresh air given legacy solutions. Businesses could see a significant acceleration of projects, ETL performance, and reduction in operating expenses.

Rob Parker Senior Director of Business Intelligence, Docusign

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AI pipelines build your data foundation and unlock insights for your business users