Make
Level 10: Automation, Agents & AI Infrastructure
Engineering & Operations · Level 10
In short
Make is an AI tool in the Automation category from Integromat s.r.o. (Celonis SE) in Prag, Czech Republic. The pricing model is freemium. It is with a German interface.
What is Make?
Make (formerly Integromat) is a leading no-code platform for visual workflow automation and application integration. Through its drag-and-drop canvas, users can design, build, and automate complex workflows—known as scenarios—without writing manual code. The platform directly connects hundreds of SaaS tools, databases, and custom APIs to synchronize data in real time.
The underlying architecture is built around triggers and actions that can be chained together flexibly. Advanced control modules such as routers, data formatters, aggregators, and filters allow users to build branched logic and carry out complex data transformations. Furthermore, AI platforms like OpenAI or Anthropic can be integrated natively to analyze, process, and generate content dynamically within scenarios.
In daily business operations, Make is widely used across marketing, sales, e-commerce, and internal IT processes. Organizations leverage the platform to eliminate repetitive manual tasks, automate customer lead routing, and bridge data silos between disparate software applications. Its flexibility serves both simple operational alerts and enterprise-grade end-to-end automation.
Core features & strengths
- Visual Scenario Canvas — The intuitive visual editor enables users to build, inspect, and test complex multi-step workflows in real time. The clear graphical mapping ensures high visibility across all data flows and execution paths.
- Advanced Data Manipulation & Logic Controls — Make features built-in tools for array manipulation, data parsing, condition filtering, and custom routing. This allows users to restructure payload formats dynamically before sending data downstream.
- Extensible AI & API Integrations — In addition to hundreds of pre-built application connectors, custom REST and GraphQL APIs or generative AI models can be integrated easily. This enables the rapid creation of intelligent, AI-driven automation workflows.
Who is this tool for?
Make is designed for operations specialists, digital marketers, product managers, agencies, and developers seeking to automate business processes rapidly without custom code infrastructure.
Typical use case
An e-commerce brand wants to streamline customer support operations: When a new inquiry arrives via email, a Make scenario extracts the customer query and sends it to an LLM to determine sentiment and intent. The platform then retrieves order information from Shopify and creates an updated support ticket in Zendesk. Finally, Make generates a pre-written response draft using AI, allowing human agents to review and send replies in a fraction of the usual time.
What is Make good for?
- Make is designed for operations specialists, digital marketers, product managers, agencies, and developers seeking to automate business processes rapidly without custom code infrastructure.
- An e-commerce brand wants to streamline customer support operations: When a new inquiry arrives via email, a Make scenario extracts the customer query and sends it to an LLM to determine sentiment and intent.
- Visual Scenario Canvas: The intuitive visual editor enables users to build, inspect, and test complex multi-step workflows in real time. The clear graphical mapping ensures high visibility across all data flows and execution paths.
- Advanced Data Manipulation & Logic Controls: Make features built-in tools for array manipulation, data parsing, condition filtering, and custom routing. This allows users to restructure payload formats dynamically before sending data downstream.
- Extensible AI & API Integrations: In addition to hundreds of pre-built application connectors, custom REST and GraphQL APIs or generative AI models can be integrated easily. This enables the rapid creation of intelligent, AI-driven automation workflows.
When a different tool fits better
Make is not suitable for ultra-low-latency real-time applications requiring sub-millisecond processing speeds. It is also less ideal for organizations requiring fully isolated, strictly air-gapped on-premises execution without cloud connectivity.
Pricing & plans
Plans in detail
- Free0 $0 €monthly
- 1,000 operations per month
- 100 MB data transfer
- Core9 $8.37 €monthly (billed annually)
- Starting at 10,000 operations per month
- Unlimited active scenarios
- Pro16 $14.88 €monthly (billed annually)
- Starting at 10,000 operations per month
- Full access to developer toolset
- Teams29 $26.97 €monthly (billed annually)
- Starting at 10,000 operations per month
- Advanced team management features
- Enterpriseon requeston requestcustom
- Security features for large enterprises
- Priority support
Good to know
- Additional operations can be purchased if the limit is exceeded.
- Prices are based on annual billing; monthly billing options are available at higher rates.
- As of 2024-05-22
Prices checked on 15/08/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: Inputs and data are processed via European or US server infrastructure (including AWS), with regional data storage options available to users.
Training on your inputs: Make does not use customer scenario data or payload outputs to train AI models; when using third-party AI modules (e.g., OpenAI integrations), the respective provider's API privacy terms apply.
For companies: Data Processing Agreements (DPAs) and EU Standard Contractual Clauses (SCCs) are available; Enterprise plans offer additional governance and compliance compliance controls.
Practical advice: Avoid passing unencrypted highly sensitive personal data or raw credentials through unvetted public webhooks, and ensure third-party services connected via API meet your privacy requirements.
- GDPR:
- EU data protection regulation: defines how personal data may be processed and what rights you have (access, deletion, objection).
- SCC (Standard Contractual Clauses):
- EU model clauses that let a provider legally process data outside the EU.
- DPA:
- Data Processing Agreement: contractually binds the provider to process your data only on your instructions. Usually mandatory for companies.
- Training on user data:
- Your inputs may feed into future model versions. Confidential content could in theory resurface in other users' answers.
Privacy data checked on 31/07/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | Integromat s.r.o. (Celonis SE) |
|---|---|
| Headquarters | Prag, Czech Republic |
| Category | Automation |
| Pyramid level | Level 10 – Automation, Agents & AI Infrastructure |
| Pricing model | Freemium |
| Free forever option | Limited |
| Open Source | No |
| Entry plan | Free: 0 $ (0 €) |
| German | interface and content |
| English | interface and content |
| Additional languages | 3 |
| Privacy classification | GDPR / EU |
| Data processing agreement | Data Processing Agreements (DPAs) and EU Standard Contractual Clauses (SCCs) are available; Enterprise plans offer additional governance and compliance compliance controls. |
Alternatives to Make
- CrewAI — Freemium · HQ: San Francisco, United States · GDPR / EU
- Dify.ai — Freemium · HQ: San Francisco, United States · GDPR / EU
- Flowise AI — Freemium · HQ: San Francisco, United States · GDPR / EU
- Groq — Freemium · HQ: Mountain View, United States · US Cloud
- Hugging Face — Freemium · HQ: New York, United States · GDPR / EU
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