Create AI pipelines in seconds, not hours
With Matillion’s AI platform, you can ensure your data is ready for AI analysis, enrich your data with AI capabilities, and use AI-augmented data in your everyday business workflows.
- 1. Get data AI-ready
- 2. Prompt LLMs
- 3. RAG
- 4. Feedback
- 5. Drive workflows
Get data AI-ready
- Integrate your unstructured, semi-structured, structured data with hundreds of pre-built connectors, or build your own custom connector
- Transform your data into an AI-ready state
Prompt LLMs
With prompting capabilities, you can
Integrate Large Language Models (LLMs) directly within data pipelines and your data (without code)
Easily change LLMs (for example, gpt4.o or Llama 3.1) to A/B test and determine best model based on accuracy, cost, and speed
Create series of prompts to run on unstructured data sets so you can extract insights, summarize information, translate, and perform sentiment analysis
RAG
Load and chunk data into vector databases, generating optimized reference indexes for efficient retrieval
Enable Retrieval Augmented Generation (RAG) in data pipelines to look up vector store data without code
Contextualize business insights using proprietary knowledge to augment LLMs
Implement RAG workflows seamlessly within existing Matillion pipelines
Feedback
Ensure your success by empowering your team to:
- Ensure AI accuracy and confidence
- Automate feedback process
Drive workflows
- Bring GenAI directly to business users in the applications they use
- Reverse ETL AI-generated insights and content into source systems such as CRM, ERP, and other business systems
- Streamline tasks, improve workflows, and make everyone in the organization smarter
Go from CEO initiative to proof
of concept in just 3 weeks
Make your AI aspirations a reality in less time than you ever thought possible. Start simple with data analytics, then operationalize business workflows. As you build on your use cases, you can even create apps and chatbots.
Data Analytics
Enrich analytics with generative AI
- Transform unstructured data into insights with LLMs
- Augment analytics with AI insights
Business Workflows
Make your AI operational across your business
- Improve decision-making
- Streamline repetitive tasks
- Reverse ETL AI into source systems
Apps and chatbots
Create interactive AI experiences
- Populate vector stores
- Build apps, chatbots, etc.
- Connect with our partners
AI use cases
Here are just a few examples of how you can use AI to solve data use cases and bring more value to your organization with generative AI.
AI will help us better understand our customer and their journey, whether it's the family or the resident, and align those insights with our team member's engagement.
Featured resources
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Human in the Loop in Data Engineering
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How Matillion is Leading the AI Revolution in Enterprise Data Integration
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