For ops teams automating work without writing code, Make is a visual workflow platform (formerly Integromat) that connects apps and branches logic in a drag-and-drop scenario builder, now under Celonis ownership.
Presence & Market Position
#5 of 22
Orchestrators & Agentic Workflow
▼ 25 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Make is positioning itself as the visual automation layer for teams that need to connect applications, branch logic, and operate repeatable workflows without writing code. Its market presence remains established across the automation category and high in the GTM technology landscape. Practitioner discussion places Make alongside agent builders and workflow platforms, with examples spanning CRM enrichment, search monitoring, and connected operational processes. The product’s role is increasingly relevant to teams that want agents and automated systems to act across existing tools, while retaining a visual environment for designing and maintaining the underlying workflow logic.
Retool
Airtable
Workato
Zapier
Power AutomateBNY, Stellantis, Celonis, BambooHR, FranklinCovey, Finn, Gojob, Fonds Finanz
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Business Profile
Founded in 2012 as Integromat, the company was acquired by Celonis in 2020 and rebranded to Make in 2022, operating since as its own business unit inside Celonis rather than being folded directly into the parent's process-mining product. It has grown into a roughly 680-person operation reporting $52.6 million in ARR and a $157.7 million valuation as of 2025. The Celonis relationship gives Make distribution into Celonis's enterprise execution-management customer base, while Make keeps shipping under its own brand, expanding from app-connecting workflows into agent orchestration and its own AI agent tooling.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Make ships a REST API alongside a dedicated MCP server that turns its automation scenarios into callable tools an AI agent can invoke directly. Scenario execution is available on every plan; management actions on connections, webhooks, and data stores are reserved for paid tiers. The MCP layer is built for two-way exchange — scenario inputs and outputs are structured so an agent can read what a workflow needs and what it returns, not just trigger it.
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