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 is a powerful integration platform that allows users to connect various web applications and services visually without requiring programming knowledge. The platform is based on a modular drag-and-drop interface where scenarios are created to automate workflows between hundreds of APIs.
The core functionality lies in the transfer and transformation of data between different applications. Users can incorporate complex logic, such as conditional filters, routers, and iterative loops, directly into the workflows to represent sophisticated business processes.
By supporting HTTP requests and webhooks, even services for which no pre-built modules exist can be integrated. This makes Make a highly flexible tool for both developers and business users who want to transform manual data management into automated processes.
Core features & strengths
- Visual Scenario Editor — The interface enables intuitive creation of automations through a graphical representation. By simply connecting modules, data flows can be mapped out in a transparent and structured manner.
- Advanced Data Manipulation — Make provides built-in functions for transforming data during execution. This allows for mapping variables as well as performing complex mathematical or text-based calculations within the modules.
- Error Handling and Logging — The platform offers detailed logs for every executed scenario, which significantly simplifies troubleshooting. Users can define specific error-handling routes to react automatically to failures.
Who is this tool for?
Make is aimed at tech-savvy business users, marketing teams, and small to medium-sized enterprises looking to automate repetitive administrative tasks. Additionally, developers use the platform to quickly implement API integrations without writing extensive custom code.
Typical use case
A typical use case is automated lead processing: As soon as a new lead submits a form on a website, Make automatically creates a contact in the CRM system. Simultaneously, a personalized welcome email is sent via the company's email service, and the contact information is posted in a central Slack channel to notify the sales team. This reduces manual effort and ensures that leads are followed up on immediately.
What is Make good for?
- Make is aimed at tech-savvy business users, marketing teams, and small to medium-sized enterprises looking to automate repetitive administrative tasks. Additionally, developers use the platform to quickly implement API integrations without writing extensive custom code.
- A typical use case is automated lead processing: As soon as a new lead submits a form on a website, Make automatically creates a contact in the CRM system.
- Visual Scenario Editor: The interface enables intuitive creation of automations through a graphical representation. By simply connecting modules, data flows can be mapped out in a transparent and structured manner.
- Advanced Data Manipulation: Make provides built-in functions for transforming data during execution. This allows for mapping variables as well as performing complex mathematical or text-based calculations within the modules.
- Error Handling and Logging: The platform offers detailed logs for every executed scenario, which significantly simplifies troubleshooting. Users can define specific error-handling routes to react automatically to failures.
When a different tool fits better
Make is less suitable for real-time applications with extremely low latency requirements in the millisecond range. For highly complex internal backends requiring massive and frequent data processing within a single request, dedicated API programming might be more cost-effective and performant.
Pricing & plans
Plans in detail
- Free0 $0 €monthly
- 1,000 operations/month
- Access to all apps
- Core9 $8.37 €monthly
- 10,000 operations/month
- Unlimited active scenarios
- Pro16 $14.88 €monthly
- 20,000 operations/month
- Custom webhooks option
- Teams29 $26.97 €monthly
- 25,000 operations/month
- Team sharing capabilities
- Enterpriseupon requestupon requestannually
- Custom operation limits
- SSO & advanced security management
Good to know
- Additional operations can be purchased as add-ons if limits are exceeded.
- Annual plans offer a discount compared to monthly billing.
Prices checked on 26/09/2026. 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: Data is processed via Make's infrastructure; Make uses AWS as a cloud provider with servers in various regions (EU regions selectable).
Training on your inputs: Make does not use customer data to train its own AI models.
For companies: A Data Processing Agreement (DPA) can be signed directly via the Make dashboard; Enterprise plans offer enhanced security compliance.
Practical advice: Avoid transferring sensitive personal data (PII) or unencrypted passwords in logs unless absolutely necessary.
- GDPR:
- EU data protection regulation: defines how personal data may be processed and what rights you have (access, deletion, objection).
- 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.
- EU hosting:
- Processing happens in European data centres — no third-country transfer, which makes GDPR compliance much simpler.
Privacy data checked on 31/08/2026. 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 | A Data Processing Agreement (DPA) can be signed directly via the Make dashboard; Enterprise plans offer enhanced security compliance. |
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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