Platform

Use Cases

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Pricing

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For AI

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Platform

Use Cases

Resources

Pricing

Docs

For AI

Start for free

Book a demo

Building RAG ingestion in-house costs two engineers and six months. Then it costs maintenance forever.

Or you point Managed Sync at your customers’ apps and get normalized, permission-aware, retrieval-ready data in days, maintained by us.

Zendesk runs on it. SOC 2 Type II, HIPAA, VPC.

Start in the sandbox

Talk to an engineer

Read the teardown

Ingest your customers’ data,
without the plumbing

Managed Sync ingests your customers’ data from the apps they already use into your vector database, normalized and retrieval-ready. Permissions, incremental sync, deduplication, rate limits, and multi-tenant isolation are handled for you. You point it at a source. We keep the data flowing.

Whether you’re feeding a RAG feature, syncing records into your app, or ingesting third-party analytics, Managed Sync runs the connectors and the upkeep, not your team.

Ingestion for RAG

Structured Sync

Ingest data for RAG

Pull your users’ files and records into your RAG system, so your AI answers from their real data.

Managed access control via Permissions API

Normalized file & document download APIs

Learn more about ingestion for RAG

Common use cases

AI copilot

Enterprise search

AI agent

Your AI agent

Your User

How’s our sales performance QoQ as of Q1?

Your AI agent

There was a 15% increase in Q1 sales compared to last year, with the highest growth in the enterprise segment.

Source: Salesforce_Q1_Sales_Report

Source: Q1_Sales_Report_2025.xlsx

https://yourapp.ai

Ingestion for RAG

Structured Sync

Ingest data for RAG

Pull your users’ files and records into your RAG system, so your AI answers from their real data.

Managed access control via Permissions API

Normalized file & document download APIs

Learn more about ingestion for RAG

Common use cases

AI copilot

Enterprise search

AI agent

Your AI agent

Your User

How’s our sales performance QoQ as of Q1?

Your AI agent

There was a 15% increase in Q1 sales compared to last year, with the highest growth in the enterprise segment.

Source: Salesforce_Q1_Sales_Report

Source: Q1_Sales_Report_2025.xlsx

https://yourapp.ai

Ingestion for RAG

Structured Sync

Ingest data for RAG

Pull your users’ files and records into your RAG system, so your AI answers from their real data.

Managed access control via Permissions API

Normalized file & document download APIs

Learn more about ingestion for RAG

Common use cases

AI copilot

Enterprise search

AI agent

Your AI agent

Your User

How’s our sales performance QoQ as of Q1?

Your AI agent

There was a 15% increase in Q1 sales compared to last year, with the highest growth in the enterprise segment.

Salesforce_Q1_Sales_Report

Q1_Sales_Report_2025.xlsx

https://yourapp.ai

Ingestion for RAG

Structured Sync

Ingest data for RAG

Pull your users’ files and records into your RAG system, so your AI answers from their real data.

Managed access control via Permissions API

Normalized file & document download APIs

Learn more about ingestion for RAG

Common use cases

AI copilot

Enterprise search

AI agent

Your AI agent

Your User

How’s our sales performance QoQ as of Q1?

Your AI agent

There was a 15% increase in Q1 sales compared to last year, with the highest growth in the enterprise segment.

Source: Salesforce_Q1_Sales_Report

Source: Q1_Sales_Report_2025.xlsx

https://yourapp.ai

Stop owning the pipeline.

Building ingestion in-house is two engineers for six months to reach parity, then maintenance forever as every source API drifts. Our team maintains every connector across hundreds of integrations, with 1,000+ available. When an upstream API changes, it is our problem, not your on-call.

Secure and enterprise-ready on day one.

Your ingestion still has to pass your customer’s security review. Managed Sync enforces multi-tenant permission isolation at the ingestion layer, so customer A never retrieves customer B’s data, and ships SOC 2 Type II, HIPAA, and VPC deployment out of the box. The part homegrown pipelines get wrong is the part we built for.

Start in the sandbox

Talk to an engineer