Zapier
Automation
Zapier is an automation platform that connects apps and workflows, now including AI orchestration capabilities through Zapier MCP (Model Context Protocol)
automate-workflows
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Make
Make is a visual workflow automation platform that connects over 3,000 apps and services, enabling users to build aut...
Updated Jun 2026
automation#automate-workflows
Free plan API Teams
About Make
Make is a visual, AI-native workflow automation platform that connects 3,000+ apps and lets users build multi-step automations and AI agents on a drag-and-drop canvas, with code and prompt options for advanced needs. It offers agentic automation and an MCP server for AI-driven actions, a free tier for basic use, and paid plans starting around $12/month, now billed via a credit-based model that buyers should verify on the official site.
Make is a visual automation platform that lets teams connect apps, data sources, and AI models to build workflows without writing extensive code. Its signature drag-and-drop canvas represents each step of a process as a visual node, so users can design multi-step scenarios, branch logic, transform data, and route information between services in a way that stays legible even as automations grow complex. The platform connects to a library of more than 3,000 pre-built apps and services, spanning marketing, sales, operations, finance, IT, HR, and productivity tools. Where an integration doesn't exist out of the box, Make supports HTTP and webhook modules along with custom app development, giving more technical users a path to reach virtually any API. Make has leaned heavily into AI-native automation. Beyond simply calling AI models inside a scenario, it offers agentic automation, a library of ready-made AI agents, and an MCP (Model Context Protocol) server that lets AI assistants trigger real business actions across connected apps. This positions Make as a bridge between conventional workflow automation and newer agent-driven approaches. Pricing follows a freemium model. There is a no-time-limit free tier for basic use, with paid plans starting around $12/month billed annually. Notably, Make has moved to a credit-based billing unit, where each action consumes a certain number of credits and advanced AI features may consume more. Buyers should confirm current pricing and credit consumption on the official site, as this billing model changed recently. Overall, Make suits users who want more visual flexibility and lower per-operation costs than simpler linear automation tools, while accepting a steeper initial learning curve in exchange for that power.
TL;DR
Make is a visual, AI-native workflow automation platform connecting 3,000+ apps and services, enabling users to build multi-step automations and AI agents without extensive coding. It supports agentic automation and an MCP server, offers a free tier, and starts around $12/month with a credit-based billing model. It's well suited to operations, marketing, and technical teams that need visual flexibility and cost-effective, high-volume automation.
Company overview
Make (formerly Integromat) is a visual no-code automation and integration platform (iPaaS) for connecting apps and building multi-step workflows. Founded in the Czech Republic as Integromat, it was acquired by Celonis — the process-mining and process-intelligence company (valued around $11–13B and viewed as an IPO candidate) — in October 2020 for over $100M, and rebranded to Make. It operates as part of Celonis rather than as an independent company, competing with Zapier and n8n on more complex, branching automations.
Product features
At its core, Make provides a drag-and-drop visual canvas where users assemble scenarios from modules representing app actions, triggers, data transformations, and logic like branching and filtering. It connects to over 3,000 pre-built apps and, for gaps, supports HTTP, webhook, and custom app modules to reach almost any API.
Make has invested heavily in AI capabilities, including AI-powered automation, agentic automation that adapts in real time, a library of ready-made AI agents, and a Make MCP Server that securely connects AI assistants to real business actions. Additional tooling such as Make Grid helps organizations govern and manage their overall automation landscape, and users can build automations visually, in code, or from a prompt.
Target market
Make serves a broad market spanning solo builders, small businesses, and enterprises, with solution paths for marketing, sales, operations, customer experience, finance, IT, HR, and workplace productivity. It appeals to no-code and low-code users who want visual control, as well as more technical teams needing custom API integrations and agentic AI workflows.
Buyer personas
End users
Marketing, operations, and RevOps practitioners who build and maintain automations day to day, along with technical builders extending scenarios with APIs, code, or AI agents.
Buyers
Team leads, operations managers, and IT decision-makers who evaluate automation platforms on integration breadth, scalability, governance, and cost per operation.
Key influencers
Automation consultants, no-code specialists, and platform partners who recommend tooling and help implement complex workflows.
Ideal customer profile
A growth-stage or enterprise team running many cross-app, high-volume processes that wants a visual, flexible automation platform with strong integration coverage and emerging AI-agent capabilities, and that does not require on-premise deployment.
Funding & performance
Make is not an independent company: formerly Integromat, it was acquired by process-mining firm Celonis in October 2020 for a reported sum in excess of $100 million, and rebranded to Make in 2022. It now operates as part of Celonis (a private company valued around $13 billion) and reports roughly €100 million in ARR across 100,000+ paying customers.
Pros & cons
Pros
- Extensive integration library with 3,000+ pre-built app connections, significantly broader than many competitors
- Visual workflow designer that users find more intuitive than text-based alternatives, with Reddit users noting it's 'superior due to its visual designer'
- Advanced AI features including AI agents, agentic automation that adapts in real-time, and a library of ready-made AI agents for quick deployment
- Flexible pricing based on operations rather than fixed workflows, allowing users to scale usage according to actual needs
- Strong community support and documentation, as noted in user reviews praising the platform's resources
Cons
- Operation-based pricing model can become expensive at scale, with costs increasing as monthly credit usage grows
- Steeper learning curve compared to simpler automation tools, with alternatives like n8n described as having 'a bit more features with also a higher price point' but requiring technical knowledge
- Can be overkill for simple browser-based UI automation tasks, where specialized tools may be more appropriate
- Pricing complexity around the credit/operations system may be confusing for new users trying to estimate monthly costs
Key features
API
Team collaboration
Multi-language
Integrations
Slack, Google Sheets, OpenAI, HubSpot, Salesforce, Gmail, Airtable, Notion, BambooHR, Webhooks / HTTP
Input types
text, structured data, webhooks, API calls
Output types
text, structured data, API actions, notifications
Compare key features
View all alternatives →Feature
Make
Zapier
Langflow
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
No
No
No
API
Yes
Yes
Yes
Self-hosted
No
No
Yes
Team support
Yes
Yes
Yes
Frequently asked questions
How much does Make actually cost?+
Make offers a free tier with no time limit for basic use, and paid plans start at roughly $12/month when billed annually. Costs scale with usage, and buyers should confirm current tiers and allowances on the official pricing page since the billing structure has changed.
What is Make's credit-based billing and how does it work?+
Make now uses credits as its billing unit. Each action a scenario performs consumes a certain number of credits — most actions use 1 credit, while advanced features leveraging Make's AI Provider may use more. Because AI-heavy workflows can consume credits faster, it's worth estimating your action volume before committing to a plan.
How do you build an automation in Make?+
You build automations visually by adding app modules to a canvas, connecting them in sequence, and configuring how data passes between each step. You can also incorporate branching logic, filters, and AI modules, and advanced users can extend scenarios with code or build them from a prompt.
What apps and AI models does Make integrate with?+
Make connects with over 3,000 pre-built apps across marketing, sales, operations, finance, IT, and more. For services without a native connector, HTTP and webhook modules let you reach almost any API, and its AI apps category and MCP server support connecting AI models and assistants to real business actions.
Can Make build AI agents, not just standard automations?+
Yes. Make offers agentic automation, a library of deployable AI agents, and the ability to build transparent agents that orchestrate workflows across connected apps. Its MCP server lets AI assistants securely trigger actions within Make scenarios.
Is Make suitable for teams and enterprise use?+
Make supports team collaboration and offers an enterprise offering focused on secure, AI-powered automation at scale, along with tooling like Make Grid to manage an organization's full automation landscape. It does not currently offer a self-hosted or on-premise deployment option.
Is Make free?+
Make offers a free tier for basic use, though specific limitations weren't detailed in the research. Paid plans start at $12/month when billed annually, providing 10,000 operations (credits). The pricing scales up with higher credit packs and additional features like priority execution, team roles, and enterprise security on higher tiers.
What does Make integrate with?+
Make integrates with over 3,000 pre-built apps and services, including major platforms across marketing, operations, AI, and business functions. The platform specifically highlights AI app integrations and offers both verified and community-built connectors. Specific app names weren't listed in the research, but the library is described as one of the most extensive in the automation space.
How does Make compare to alternatives?+
Make is often compared favorably to Zapier for its visual designer, which some users prefer over text-based approaches. Compared to n8n, Make is considered more user-friendly but with slightly fewer advanced features. For simple browser automation tasks, specialized tools like Skyvern may be more appropriate. Make's strength lies in complex multi-app workflows and AI integration, while simpler tools may suffice for basic automation needs.
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