Integration App envisions a future where B2B SaaS companies operate in a seamlessly interconnected ecosystem, empowering software products to communicate and collaborate effortlessly. At the heart of this vision lies our universal integration platform, designed to connect thousands of applications through intelligent, scalable solutions.
We harness advanced AI technologies, including large language models, to automate the complexities of API integration and data mapping, enabling SaaS providers to unlock new levels of agility and customization. Our platform is built to support the evolving needs of digital business, eliminating barriers between applications and fueling innovation.
Driven by a commitment to redefine software interoperability, Integration App is creating a foundational layer for the next generation of connected applications, transforming how businesses integrate, operate, and grow in a digital-first world.
Our Review
We've been keeping tabs on Integration App since they emerged from stealth, and honestly, we're impressed by what this ex-DataRobot team has built. In a world where B2B software integrations still feel stuck in the stone age, they're bringing some much-needed innovation to the table.
The company's core pitch is simple but powerful: turn integration headaches into a competitive advantage. With over 3,000 connectors and an AI-powered approach to building custom integrations, they're tackling one of the biggest pain points for SaaS companies.
The AI Twist That Caught Our Attention
What really sets Integration App apart isn't just the massive connector library — it's how they're using AI to actually make integrations smarter. Their "AI Membrane" uses large language models to scrape API documentation and handle data mapping automatically.
This isn't just marketing fluff, either. We've seen how traditional integration platforms make developers do all the heavy lifting, but Integration App's approach means you can spin up custom connectors using OpenAPI specs without the usual developer nightmare.
Traction That Speaks Volumes
Numbers don't lie, and Integration App's customer roster is telling a compelling story. Over 100 SaaS companies are already using their platform, including recognizable names like Quickbase, Storyblok, and Spekit.
What's particularly impressive is how quickly they've scaled since commercializing — going from stealth mode to dozens of paying customers in record time. That kind of rapid adoption usually means they've hit on something real.
Who Should Pay Attention
If you're running a B2B SaaS company and integration requests are piling up faster than your dev team can handle them, Integration App deserves a serious look. They seem particularly well-suited for companies that need to support multiple, complex integration scenarios without building everything from scratch.
The platform appears designed for teams who want to move fast and scale integrations without getting bogged down in the technical weeds. For companies tired of treating integrations as a necessary evil, this could be the game-changer they've been waiting for.
Features
Universal integration layer for SaaS products
3000+ connectors across SaaS categories
Custom connector building with OpenAPI specs
Leverages LLMs for API documentation scraping and data mapping
AI-native integration layer enabling scalable and customizable integration logic and UI
FAQs
Ploy was founded in 2024.
Membrane represents a new category of AI-first integration development, where product integrations can literally build, test, and maintain themselves. It has proprietary context and infrastructure on how APIs work and run across 1000s of apps and enables teams to go from prompt to production-ready integrations in minutes. We’ve built strong foundations for this next step — our technology is already used by 100+ B2B SaaS companies, including PandaDoc, Dialpad, Storyblok, Robin AI, and Glide. We are back by leading investors (IA ventures, Crew Capital, Seedcamp, UiPath & Datarobot), who deeply understand the integration space and the transformative potential of AI.
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