Integrations are a fundamental building block of the modern SaaS ecosystem. For software vendors, integrations are a must-have feature from prospective customers who want to know that the new vendor’s software is going to play nicely with their existing suite of tools. Sales teams, eager to close deals, get inundated with these requests by prospects. At the same time, engineering teams are forced to decide which projects to prioritize, balancing customer needs with their own feature development schedule.
While integrations are crucial as a whole, the engineering effort needed for certain one-off integrations isn’t justified by the value they add, posing a dilemma for vendors: reject a potential sale or strain their engineering resources. The situation worsens when big customers ask for custom integrations with tools the engineers aren’t familiar with, forcing them to learn new APIs and set integration deadlines, all while other important core feature work gets delayed. It’s a constant tug-of-war to keep up with new features, keep customers happy, and ship code rapidly.
We think engineering teams shouldn’t have to make compromises when it comes to meeting the needs of their customers, while also shipping core features at a fast pace. That’s why we’re incredibly excited to be announcing our investment in Integration.app.
Integration.app has built the first AI-powered embedded integrations stack. It enables engineers to rapidly build powerful native integrations within their SaaS app, while offering an extensive list of hundreds of pre-built connectors ranging from software for sales and marketing, to HR & recruiting, to accounting and finance.
Of course, building native integrations to other SaaS systems is not a new challenge for software vendors. In fact, there have been many attempts to solve the challenge historically, including from providers of Unified API systems and iPaaS providers offering embedded integrations. However, these solutions historically have come with trade-offs. Unified API providers offer speed, but come at the cost of limited customization and flexibility. Embedded integration services are customizable, but often come with long implementation periods and may have expensive implementation costs.
Integration.app eliminates this trade-off of speed and flexibility by introducing a Universal Integrations architecture. The platform’s utilization of Large Language Models (LLMs) equips developers with the ability to configure one integration scenario and have the system intelligently generate subsequent integrations. For engineers, the value proposition is simple: Write once, repeat. This capability can accelerate time to production by months, returning invaluable time to developers to invest in building their core features.
Coming soon, Integration.app will enable developers to build custom connectors for any application with a documented API within minutes.
We’re humbled to be working with Integration.app’s founder and CEO, Daniil Bratchenko. Daniil brings years of experience leading engineering teams at DataRobot, where he helped grow the company from 20 people to 1,000 alongside DataRobot’s founder Jeremy Achin. Daniil brings a deep sense of empathy for the engineering teams struggling to balance the demands of custom integrations with core features, with the desire to ship fast.
We’ve been blown away by the pace of execution that Daniil and his team are building with the Integration.app platform and the AI-driven enhancements they’re bringing to the world of integrations. Daniil envisions a world where SaaS integrations are as easy, common, and simple as smartphone apps, and he founded Integration.app to lead the industry to that vision.
We’re thrilled to be leading the $3.5M seed round alongside our friends at Cortical Ventures, with participation from Seedcamp, Accel Starters, and executives from UiPath & DataRobot.