Paragon

Ship every integration your customers need with Paragon's embedded integration infrastructure for B2B software products.

[Paragon @useparagon]

Existing integration platforms are not going to make it in the post-AI world.

That’s why we’re unveiling Paragon 2.0—one integration platform with three purpose-built products that will fundamentally shape how developers build integrations moving forward.

[Brandon Foo @brandonwfoo]

Paragon started as an embedded iPaaS solving SaaS integration nightmares. But AI changed everything.

RAG needs massive data ingestion. AI agents need universal tool calling and existing tools weren't built for this. So we rebuilt everything from scratch.

Introducing Paragon 2.0, AI-native integration infrastructure with purpose-built products:

Managed Sync for RAG,
ActionKit for agents,
Plus our proven Workflows.

The future is AI-native. Join our launch week for Paragon 2.0 by giving me or @useparagon.

[Fin @fin_ai]

Christine Zdelar, Director of Product at Intercom, recently joined the Future Proof podcast to talk about how @Fin_ai has evolved since the early GPT-4 days and what it actually takes to build AI for customer support that people trust.

Check it out → https://t.co/zTIjHsa2wT

[Paragon @useparagon]

“The first thing you need to consider when you’re a pm is to define what kind of trust you need to build with your users”.

In our latest episode of Future Proof, we sat down with Laura Burkhauser, VP of Product at @descript (yes, the same tool we used to edit this episode). We dove deep into their AI Underlord framework and discussed strategies for making the user-AI relationship feel collaborative.

Listen on all your favorite podcast platforms:
YouTube: https://t.co/wMqtluyUBk
Spotify: https://t.co/pEog9TNFGh
Apple: https://t.co/IaIF1ca7am

[Paragon @useparagon]

🚀 Introducing Managed Sync: 3rd-party ingestion & access control for RAG

Building AI products that deliver real value means giving LLMs access to your users' internal data and knowledge sources. But ingesting data from dozens of 3rd-party APIs while maintaining proper access controls is incredibly complex.

That's why we built Managed Sync – our newest API product designed specifically for 3rd-party data ingestion & permissions for RAG.

✅ Ingest full replicas of your users' 3rd-party data with 2 API calls
✅ Normalized schema for every category (customizable too)
✅ Easily check a user’s access on retrieved data without managing your own permissions infrastructure
✅ High throughput without the plumbing - battle tested at enterprise scale
✅ Part of the all-in-one integration platform Paragon provides, with the embedded SDK, managed authentication, and robust monitoring.

Learn more about https://t.co/8uyI9rh3c9

[Brandon Foo @brandonwfoo]

Introducing Managed Sync - the world’s first data ingestion & access control solution for RAG.

Most LLMs lack user context. That's why OpenAI launches new ChatGPT connectors weekly. Why Anthropic pushes MCP. Why Perplexity bought an integration platform.

But, building these pipelines takes months.

That’s why we built Managed Sync. Two APIs to solve this integration and access control problem in AI.

- Sync API for fully managed, normalized ingestion pipelines
- Permissions API for query-time access control checks on the retrieved data

What used to take teams six months or more to build now takes just two days to implement, and the throughput and performance is ~10x better.

Learn more at https://t.co/lTMS1SfNqZ

[Paragon @useparagon]

“So you are actually seeing a movement away from just one tiny niche and then, a lot more expansion from a lot of different players in more general purpose, enterprise productivity”. - @RichardSocher , CEO and Cofounder of https://t.co/ZamqTiwMKb.

If you haven’t seen it yet, check out the most recent episode of Future Proof: Building AI products that last, where we chat with Richard Socher on competing and winning against industry leaders like OpenAI.

Check out the full episode here: https://t.co/RoOjE1LHYr… YouTube: https://t.co/qKIDniVIx0: https://t.co/WY5Dgms9O3 Podcasts: https://t.co/Wp93ARKiVD

[Paragon @useparagon]

“ If you want to make LLMs accurate, up to date or have citations, you need to have a very strong search backend both over external data on the web as well as private data on your own internal company context.” - @RichardSocher , CEO and Cofounder of https://t.co/ZamqTiwMKb. Check out the most recent episode of Future Proof: Building AI Products that last, where we discuss building for the future of enterprise work.

Topics covered include:

- Building for the future of Enterprise productivity
- How to build a competitive advantage against industry leaders like Open AI
- Is chat the final interface for work?

Check out the full episode here: https://t.co/RoOjE1LHYr
YouTube: https://t.co/m1hHtQYAhn
Spotify: https://t.co/pBhzAOAuZs
Apple Podcasts: https://t.co/Wp93ARKiVD

[Paragon @useparagon]

“Always assume the baseline model gets better and better, but data is ultimately always a great moat…”. In this episode of Future Proof: Building AI Products that last, we chat with https://t.co/ZamqTiwMKb CEO and co-founder, @RichardSocher , on how to build a platform that can compete and win against OpenAI.

We cover:

- Building for the future of Enterprise productivity

- How to build a competitive advantage against industry leaders like OpenAI

- Is chat the final interface for work?

Check out the full episode here: https://t.co/R3lvmTwlLs

YouTube: https://t.co/m1hHtQYAhn
Spotify: https://t.co/pBhzAOAuZs
Apple Podcasts: https://t.co/Wp93ARKiVD

[Paragon @useparagon]

In this tutorial, we discuss how to add agentic capabilities into your AI application, allowing your RAG application to not only read data from third parties but also write data (take action) to those third-party apps as well.

https://t.co/WGpTFLrnYs

[Paragon @useparagon]

“Your system will only be as good as the quality of the access controls beneath it”. In this episode of Future Proof: Building AI Products that last, we chat with @levie, CEO and Cofounder of @Box, on what it takes to build successful Enterprise AI products.

We cover:
- Why good data is a moat/flywheel for AI products
- The importance of access controls in RAG
- Building broad or building deep
- APIs, MCPs, A2A

Check out the full episode here: https://t.co/ltpfR7Q3RG
Spotify: https://t.co/q0X4k3UkQW
Apple Podcasts: https://t.co/z8pnVCfESf
YouTube: https://t.co/9IJx6Dapa2

About Future Proof:
How are you approaching product development in the AI age? The paradigm of B2B SaaS is shifting into AI first products, and there is a wealth of knowledge to be shared. Future Proof is a podcast which brings together top product and engineering leaders to discuss learnings and share insights for building AI products that last.

The show focuses on 4 key pillars:

1. Understanding how to build for the future of B2B software (agentic, workflows, chat, etc.)
2. The biggest challenges in AI product development and how to overcome them
3. Discovering patterns between the fastest growing AI products
4. The latest AI developments and what it means for AI product development

[Paragon @useparagon]

We built an AI agent that can access Slack messages and analyze them to curate the perfect Spotify playlist. Build any 3rd-party automation you want with the Paragon MCP.

Get access yourself at https://t.co/dtbygjrCk9

[Paragon @useparagon]

With the Paragon MCP server, we built an AI agent that automatically updates tasks in Asana. Take a look, and try yourself at https://t.co/dtbygjrCk9

[Paragon @useparagon]

Building an AI app, that connects and pulls from your users’ CRMs isn’t a challenge anymore. Watch how we built an AI agent that authenticates and connects to Salesforce and HubSpot, pulls in data and publishes to a Google Sheets, all in a mater of minutes. We used Paragon’s MCP server, which gives your AI app access to 1000 prebuilt tools across SaaS platforms - all with multi-tenant auth built in (via magic links).

Want to build for yourself? Check it out → https://t.co/PhCqoD7RbM

[Paragon @useparagon]

Looking for an MCP server with OAuth capabilities. Get fully managed authentication into 100 different SaaS apps through Paragon's MCP. Watch as our AI agent authenticates into Gmail, searches for messages, and automatically finds the time for a meeting.

Connect to the MCP server and try for yourself → https://t.co/PhCqoD7jme

[Paragon @useparagon]

Curious how companies like Copy ai and Unify GTM shipped their workflow builders? In this tutorial, learn how to easily create a workflow builder using xyflow and Paragon’s ActionKit API. Construct drag-and-drop workflow interfaces with the ability to power over 1,000 third-party actions across platforms like Slack, Salesforce, Google Drive, and Notion.

Article link: https://t.co/zRk2hYAL75

[Paragon @useparagon]

Looking for an MCP that can authenticate multiple users? Watch how Paragon’s MCP powers any client to authenticate into GitHub and produce issue tickets within seconds. Curious? Try it for yourself https://t.co/dtbygjrCk9

[Paragon @useparagon]

We got an AI Agent to authenticate into Google Drive and then make an ASCII art in Google Sheets, all with just one MCP. Watch our Developer Advocate walk you through it.

If you want to connect your AI product to hundreds of 3rd-party tools, check out

https://t.co/dtbygjrCk9

[Paragon @useparagon]

AI companies are aggressively investing in building integrations for their AI products, so they can ingest knowledge from their users' 3rd party apps and files, and give their AI agents access to automate tasks across the stack. This article dives into the use cases and why there is such strong sense of urgency right now.

https://t.co/dZVd1x6PrA

[Paragon @useparagon]

Another API change getting in the way of your integration development? The cost of maintaining integrations is very hard to estimate, with third-party API changes, issues with authentication, and much more. Offload these worries to Paragon, and enjoy your weekends again.

[Paragon @useparagon]

We built an AI knowledge chatbot that has context on all the information from a user's Slack messages, Google Drive files and Notion documents using create-llama, Pinecone, and Paragon. Check it out!