Make (Integromat)

Purpose

Make (formerly Integromat) is a visual, no-code integration and automation platform whose primary purpose is to orchestrate multi-step workflows across web services and APIs. It enables users to design “scenarios” that move and transform data between applications, trigger actions on events, and implement branching logic and error handling, thereby reducing manual effort and the fragmentation that arises from siloed tools. In contrast to simple point-to-point connectors, Make emphasises a canvas-based builder that supports complex, conditional flows and real-time execution, positioning the product as an accessible alternative to scripting or custom middleware for non-programmers and technical users alike.

Release Date

Integromat was founded in Prague and launched publicly in 2016, quickly establishing itself as a European entrant in the integration platform as a service (iPaaS) market. On 14 October 2020, the company was acquired by Celonis, the process-mining firm, to strengthen Celonis’s automation capabilities. Integromat subsequently rebranded as “Make” on 22 February 2022, launching a new brand and platform while maintaining the legacy product temporarily for existing users. A formal sunset for the Integromat platform was announced in early 2023, as customers were encouraged to migrate to Make.

Features

Make’s feature set blends no-code composition with enterprise-style orchestration:

• Visual scenario builder: Users connect “modules” on a canvas to construct end-to-end workflows, including data mapping, transformation, and branching with routers and filters. This supports both linear and complex, conditional logic without code.
• Extensive app library and API connectivity: The platform offers integrations with 3,000+ pre-built apps alongside generic HTTP/JSON modules for systems not in the catalogue, allowing connection to “anything with an API.”
• Event triggers, webhooks, and scheduling: Scenarios can be initiated by time-based schedules, inbound webhooks, or application events; webhooks are provided as a first-class integration for bespoke triggers.
• Data handling primitives: Iterators, aggregators and array mapping enable transformation of lists and nested structures; error-handling paths and retry logic provide resilience in production workflows. (Documented across Make’s product pages and integration docs.)
• AI and agentic automation: Recent releases add Make AI Agents and AI-assisted building to plan and execute steps, reflecting a shift from static automations to more adaptive, real-time assistance.
• Operational governance: Scenario versioning, access control, and workspace-level administration support collaboration and oversight for teams at scale.

Collectively, these capabilities allow users to model sophisticated business processes that combine SaaS applications, internal systems and bespoke endpoints, while keeping the learning curve manageable relative to hand-coded integrations.

Student Usability

For students and research scholars, Make can serve as a pragmatic tool to streamline academic and project workflows:

• Research pipelines: Students can connect data sources (e.g., survey tools, spreadsheets, institutional repositories) to automatically ingest, clean, and route data into analysis environments or literature logs. The visual builder helps document reproducible steps, assisting with audit trails for methods sections.
• Administrative automation: Routine tasks, such as filing email attachments into cloud folders, updating calendars and task boards, or synchronising notes between Notion, Sheets and reference managers, can be automated to reduce administrative load during intensive study periods.
• Collaboration support: Webhook-triggered scenarios can notify group members, populate shared trackers, or post meeting outcomes to communication channels, improving coordination in distributed teams.
• Bridging skills gaps: For non-programmers, Make provides a gateway to computational thinking—iterating, filtering, mapping—without a full programming stack, while still exposing concepts (APIs, JSON, authentication) that are valuable for digital scholarship.