Train Models

Build your AI features with LLM-ready data

Fuel your AI features with accurate customer data from your product integrations.

Quickly add hundreds of integrations with one API to sync normalized, real-time data to your product with Merge.

Data fuels AI...

But gathering customer data across platforms to power your AI feature is error-prone

Merge is the fastest, most accurate way to get this data

Sync large amounts of unified, real-time data to your product

Merge platform benefits

Speed up the development of your AI feature

Get to market faster by accessing diverse data from your product integrations

Improve output accuracy with normalized data

With normalized data inputs, expect more consistent results and evaluations

Enable developers to focus on building AI

Merge handles API nuances: authentication, pagination, and rate limiting

Trusted by thousands of product leaders at companies like

Case Study

Assembly uses Merge to superpower their AI agents

Through Merge, we could integrate with customers’ file storage systems, like Dropbox, Box, and Google Drive. This allows us to feed the AI-powered search feature for our intranet solution (Dora AI) the data it needs to deliver highly personalized, accurate responses to customers’ questions.

Jonathan Fields
Co-Founder & CEO, Assembly
E-Book

How to use product integrations to get your data AI-ready

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Security and compliance
‍
are our foundation

Designed from the ground up to safeguard your customer data, Merge adheres to the industry’s highest standards of security and privacy and is certified in SOC 2 Type II, ISO 27001, HIPAA, and the GDPR

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Build AI features faster with Merge

Join the thousands of companies that trust Merge to power their integrations. Chat with one of our experts today to learn how Merge can solve your AI needs.

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Powering AI with product integrations
Powering AI with product integrations
Blog
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5/18/2023
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How to get access to quality B2B data for AI
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How SaaS companies can power their AI features with integration data (6 examples)
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