Make

About Make

Make is an automation software company headquartered in Prague, Czechia. The company traces its current Make platform to 2015 and previously operated under the Integromat name before the product and brand evolved to Make. In 2020, Celonis acquired Integromat, and Make now operates as part of Celonis while retaining its own product identity, team and customer-facing platform. The company focuses on visual automation: users connect applications, APIs, data sources and logic in a graphical scenario builder instead of relying entirely on custom integration code. Make has expanded this model into AI orchestration, where deterministic workflow steps can be combined with AI reasoning, agent tools, model connections and Model Context Protocol integrations. This corporate direction is broader than any one feature because it changes how Make positions itself against traditional integration platforms, no-code automation tools and newer agent-development products. Make reports more than 400,000 customer organizations across more than 200 countries and territories. Its current careers and company materials report a team of more than 350 people, with headquarters in Prague and additional hubs including Madrid, Munich, Raleigh and Pristina. These are company-reported scale figures and should be interpreted as vendor disclosures rather than independently audited customer metrics. The company's ownership matters for enterprise buyers. Make is part of Celonis, whose process-intelligence platform serves a different but adjacent problem. The relationship gives Make access to a larger enterprise software organization while allowing Make to remain focused on integration, workflow automation and agentic orchestration. Buyers evaluating Make as a strategic automation layer should therefore understand both the Make product roadmap and the broader Celonis relationship, especially where contracting, privacy, security or enterprise support involves Celonis entities. Make uses a subscription and consumption model rather than a simple per-seat SaaS model. Customers buy plans with monthly credit allowances, and automation or AI usage consumes those credits according to the type of action performed. Most ordinary non-AI module actions use a fixed credit amount, while some built-in AI functions use dynamic credit consumption based on operations, tokens or other processing factors. This makes workflow design and execution volume important procurement variables alongside team size. The company has made AI orchestration a central strategic theme. Its current platform combines the visual scenario builder with Make AI Agents, Make AI tools, MCP Server and Client capabilities, Make Grid, analytics and a large integration catalogue. The company argues that AI should coexist with deterministic business logic rather than replace it. For buyers, that architecture can make automated decisions more inspectable, but it also means teams need clear ownership of workflows, model access, credentials, error handling and credit consumption. Security and data governance are significant company-level considerations because Make can connect to many systems with write permissions. Make publishes enterprise security and privacy material covering GDPR, SOC 2 Type II, SOC 3, encryption, single sign-on and related controls. Organizations should still review the exact permissions granted to each connection, where data is processed, how third-party AI providers are used and which teams are allowed to publish or modify business-critical scenarios. Make is a strong corporate fit for organizations that want a visual integration and automation platform spanning many SaaS applications without building every connector or orchestration service internally. The main trade-offs are platform dependence, consumption-based cost variability and the operational responsibility that comes with letting automations or agents act across production systems. Teams with narrow integration requirements may prefer a simpler point tool, while highly code-centric organizations may prefer building directly on APIs, queues and cloud-native orchestration services.

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