Published on November 8, 2023, 4:09 pm

Several years ago, Daniil Bratchenko, an early employee at DataRobot, recognized a common challenge for enterprises adopting software-as-a-service (SaaS) apps. Despite the availability of integration tools, many SaaS apps and services were not effectively working together. Integrations are crucial for every company’s IT environment, and when considering new software purchases, companies prioritize seamless integration with their existing applications. However, building numerous integrations across their customer base requires valuable engineering hours that could be spent on core features.

A recent survey by Salesforce’s MuleSoft found that 90% of companies struggle with integrating new systems into their existing structures. A fifth of respondents stated that integration is time-consuming, while 44% have been unable to integrate apps with their existing systems. Considering the average company uses around 130 apps, according to Statista, it becomes clear how this problem can become overwhelming.

In response to the need for a solution in SaaS app integration, Bratchenko founded Integration.app. With Integration.app’s platform, engineering teams can easily integrate their company’s products with third-party apps. The startup recently secured $3.5 million in funding led by Crew Capital, which will support its go-to-market efforts and allow for the expansion of its team from 12 employees to 24 within the next year.

Integration.app operates as an integration platform as a service (iPaaS) provider and offers tools for connecting both apps and data. Competitors in this sector include Digibee, Boomi, and MuleSoft due to the high demand for iPaaS solutions. A study conducted by iPaaS vendor TeamDynamix revealed that 27% of companies have already invested in iPaaS, while 66% plan to do so within the next couple of years.

What sets Integration.app apart from its competitors is its use of large language models (LLMs), such as ChatGPT, to automate aspects of the software integration process. Integration.app’s “connector builder” tool leverages LLMs to read API documentation and determine how to integrate with a particular app. This enables customers to build numerous connectors quickly and efficiently.

Developers using Integration.app can configure one integration scenario, and the platform will automatically map the necessary APIs and user interfaces across multiple apps, generating dozens of connectors. This streamlined approach reduces the time required to maintain numerous integrations.

While Integration.app is not the only iPaaS provider experimenting with generative AI features for app integration, their technology offers unique advantages. Zapier recently introduced an AI-powered tool called Canvas, which allows users to map out workflows between apps. Amazon plans to incorporate LLMs and other AI models into AWS AppFabric, its iPaaS offering.

Despite competition in the market, Bratchenko remains confident in Integration.app’s success. The company has already acquired dozens of paying customers within four months of commercialization. The goal is to create a shift in mindset among engineering teams and encourage widespread adoption of embedded integration technology. With its improved efficiency and customizability compared to legacy competitors, Integration.app aims to become the go-to choice for developers seeking hassle-free integrations.

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