Enterprise

Paragon wants to be the Plaid of SaaS apps

Comment

illustration of person sitting in front of three large monitors
Image Credits: Getty Images

Paragon, a startup building a platform that integrates and aggregates various software-as-a-service (SaaS) apps for enterprise clients, has raised $13 million in a series A round led by Inspired Capital, alongside previous investors FundersClub and Garuda Ventures. CEO and co-founder Brandon Foo said that the tranche will be put toward “scaling” and expanding Paragon’s team across the engineering and go-to-market teams.

Paragon, a part of Y Combinator’s winter 2020 cohort, is designed to allow software products to integrate with third-party apps without disrupting existing workflows. Companies can use the platform to build SaaS integrations into their products that are then provided to their end users, with features such as fully managed authentication and prebuilt integration interfaces.

Foo founded Paragon in 2019 with Ishmael Samuel, a former Uber engineer. Paragon is Foo’s second venture after Polymail, an email app focused on collaboration.

“While building Polymail, we had to spend months becoming experts in the different vendor-specific authentication methods, APIs, and documentation for every integration we built. It felt like we were reinventing the wheel every time. Yet customers kept asking for more integrations, which quickly made it impossible to keep up, let alone maintain all these integrations we’d built,” Foo told TechCrunch in an email interview. “I later realized that this is a problem that every SaaS company faces today. When Ishmael and I started Paragon, we sought to solve a never-ending problem we’d experienced firsthand as software developers.”

Foo says that Paragon currently supports around 45 prebuilt integrations with SaaS apps, including Salesforce, HubSpot, Slack and Shopify. Recently, the company launched an integration builder that allows customers to create their own custom integrations on Paragon with public SaaS APIs without needing to write code.

Paragon
Image Credits: Paragon

Paragon offers two versions of its service: cloud-hosted and on-premise. Both store and manage end-user authentication credentials so that companies don’t have to manually build and maintain authentication for each app integration individually. They both also store integration data for logging and observability purposes.

“Software companies must offer integrations in order to stay competitive in the market — it has simply become an expectation of SaaS buyers … However, building integrations from scratch requires tremendous engineering resources — not to mention the work it takes to maintain integrations as SaaS APIs constantly change,” Foo said. “Paragon provides a simple, productized solution that abstracts the complexities of every SaaS integration into a single software development kit, which can be natively embedded in any product to provide a seamless end-user experience.”

Foo claims that Paragon is currently servicing about 100 million requests per month across its customer base. That’s an auspicious start, but the challenge will be maintaining growth as rival products emerge. While not tackling exactly the same problem, Pipedream offers an integration platform for building workflows and connecting cloud apps and services. With an eye toward financial applications, Stripe recently launched App Marketplace, a collection of scripts and tools incorporating third-party SaaS apps that work alongside Stripe’s payment processing.

Foo says, though, that the slowdown in tech has been unexpectedly fortuitous (minus the layoffs).

“It’s actually been an accelerant for Paragon, since engineering efficiency has become more crucial than ever before. Software companies need to do more with less, yet can’t afford to continue losing valuable deals by not meeting their customers’ integration requirements,” he said. “The top challenge Paragon solves for is engineering resources. To spend in-house engineering resources focused on external integrations takes valuable time away from building their core product.”

To date, Paragon has raised $16.5 million in capital.

More TechCrunch

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals