M

Make

by Make (part of Celonis)

Automation & WorkflowsNo-Code PlatformAI Agents & OrchestrationEnterprise Platform

Visual AI automation: build workflows and agents across 3,000+ apps without code

Freemium · Subscription · Usage-based·Added Mar 19, 2026·Updated Aug 10, 2026
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THE DAILY BRIEF
Make

by Make (part of Celonis)

Automation & WorkflowsNo-Code PlatformAI Agents & OrchestrationEnterprise Platform

Visual AI automation: build workflows and agents across 3,000+ apps without code

Freemium · Subscription · Usage-based

Make is a visual automation platform for connecting apps, data sources and AI models into workflows built by drag-and-drop, by prompt or via MCP. Formerly Integromat and now part of Celonis, it serves over 400,000 organisations and adds AI Agents that reason and act on the same canvas as deterministic scenarios.

At a Glance

Category
Automation & Workflows
Pricing
Freemium, Subscription, Usage-based
Target Market
CIOs, Operations Leaders, Marketing Teams, RevOps Teams
Deployment
Cloud-only
Founded
2015
Team Size
201-500
Customers
400,000+ organisations across 200+ countries

Key Features

  • Visual branching canvas
  • 3,000+ app integrations
  • AI Agents on the same canvas
  • Multiple build modes
  • Multi-provider AI model access
  • Make API and developer platform
  • Enterprise security and compliance
  • Execution logging and search

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • CRM and marketing stack synchronisation
  • Lead routing with conditional logic
  • AI-assisted content and support workflows
  • E-commerce order and fulfilment automation
  • Agentic operations across many apps

Ideal For

Best For

  • Multi-branch integrations with routers, filters and conditional paths that linear automation tools cannot express
  • Connecting long-tail SaaS apps where a native integration does not exist, using the 3,000+ catalogue or the generic HTTP module
  • Operations and marketing teams automating processes without engineering support
  • Adding AI Agents and LLM calls into existing automations on the same canvas as deterministic steps
  • Enterprises needing SOC 2 Type II and ISO 27001-backed automation with SSO and extended log retention

Not Ideal For

  • Engineering teams comfortable in code — Hacker News practitioners report spending '10+ minutes of UI node creation' on tasks that take minutes to write, and prefer n8n for its JavaScript and Python code nodes
  • Organisations requiring self-hosted or air-gapped automation, since Make is cloud-only and n8n is the usual choice there
  • High-volume, latency-sensitive pipelines where credit-metered execution becomes both expensive and hard to reason about
  • Teams without an owner for automation maintenance — reviewers describe scenarios that 'broke silently' and became a single point of failure

Market Analysis

Enterprise-gradeNo-codeMid-market
User Rating4.8/ 5

Pros

  • The branching canvas expresses multi-path logic that linear automation tools simply cannot, which is the main reason teams migrate from Zapier
  • Very large catalogue — over 3,500 apps listed — plus an HTTP module that covers anything with an API
  • Strong independent ratings: 4.8 out of 5 across 408 Capterra reviews, with value for money at 4.73
  • Enterprise-grade compliance for a platform that starts at $12 a month: SOC 2 Type II, SOC 3, ISO 27001, GDPR, AES-256 and AWS KMS
  • AI Agents are available on all plans rather than gated behind Enterprise, so the agentic path is testable cheaply

Cons

  • Debugging is the most consistent complaint — Capterra reviewers report that 'bugs and issues are difficult to diagnose, troubleshoot, and resolve, causing workflow interruptions'
  • Credit-based metering makes costs escalate unpredictably with volume, and reviewers flag this repeatedly at scale
  • Ease of use is its weakest Capterra sub-score at 4.34, and the canvas becomes unwieldy on advanced multi-branch scenarios
  • Engineers find it slow going: a Hacker News commenter described spending '10+ minutes of UI node creation' on work that is trivial in code, and another called the automations 'cumbersome to edit and very limited'
  • Scenarios can fail quietly — one team reported that 'Scenarios broke silently. Only I could fix them', turning the platform into a single point of failure
  • Cloud-only, with no self-hosted option, which pushes data-residency-constrained and air-gapped buyers toward n8n

Pricing

Free

$0

  • Up to 1,000 credits per month
  • No-code visual workflow builder
  • 3,000+ apps
  • Routers and filters

Core

From $12/mo

  • 10,000 credits per month
  • Unlimited active scenarios
  • Scheduling down to the minute
  • Make API access

Pro

From $21/mo

  • Everything in Core
  • Priority scenario execution
  • Custom variables
  • Full-text execution log search

Teams

From $38/mo

  • Everything in Pro
  • Team management and roles
  • Scenario template creation and sharing

Enterprise

Contact for pricing

  • Custom functions support
  • Enterprise app integrations
  • 24/7 enterprise support
  • Advanced security, SSO and overage protection
  • 99.5% cloud uptime commitment

List pricing is published for every tier except Enterprise: Free at 1,000 credits a month, then Core at $12, Pro at $21 and Teams at $38 a month, each including 10,000 credits with annual billing saving about 15%. The meaningful cost driver is credits, not seats — every module run in a scenario consumes them — so a workflow that loops over records burns budget far faster than the plan price suggests, and Capterra reviewers cite exactly this escalation. Overage protection, SSO, custom functions and extended log retention are all gated behind Enterprise, which is quote-only.

Security & Compliance

soc2
gdpr
hipaa
iso27001
sso
data residency

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© 2026 Rajesh Beri. All rights reserved.

Make is a visual automation platform for connecting apps, data sources and AI models into workflows built by drag-and-drop, by prompt or via MCP. Formerly Integromat and now part of Celonis, it serves over 400,000 organisations and adds AI Agents that reason and act on the same canvas as deterministic scenarios.

Make is a visual automation platform, launched as Integromat in 2015 and now part of process-mining company Celonis, that positions itself as 'the visual AI automation platform' for connecting 'any app, data source, or AI model' into workflows built visually, in code, or by prompt. Its differentiating primitive is the canvas: scenarios are drawn as branching graphs with routers, filters, iterators and aggregators rather than the linear trigger-then-action chain most competitors use, which is why it is repeatedly chosen over Zapier for multi-branch logic. The app catalogue lists more than 3,000 pre-built integrations — the directory showed 3,546 apps at time of writing — spanning Salesforce, HubSpot, NetSuite, Microsoft 365, Google Workspace, Slack, Notion, Airtable, Shopify and Stripe, with a generic HTTP module for anything with an API. On the AI side Make integrates OpenAI, Anthropic Claude, Google Vertex AI, Mistral, Azure OpenAI, Hugging Face, Perplexity and ElevenLabs, and its AI Agents feature — with a next-generation release announced 11 February 2026 and availability on all plans — lets agents reason about a situation and choose their next step while running on the same canvas as deterministic scenarios, so teams can build, run and debug both without switching tools. The company reports a global team of 350-plus and more than 400,000 organisations across 200-plus countries as customers, naming BNY Mellon, Stellantis, BambooHR and Bolt among them. Security posture is enterprise-grade: SOC 2 Type II and SOC 3 audits completed, an ISO 27001-certified information security program for the enterprise platform, GDPR adherence, AES-256 encryption at rest, TLS 1.2/1.3 in transit, AWS KMS key management and a 99.5% cloud uptime commitment for Enterprise.

Ideal Buyer

Operations, marketing and RevOps teams that have outgrown Zapier's linear steps and need branching, multi-path automation across dozens of SaaS tools without hiring engineers to maintain it.

Key Benefit

Complex multi-branch integrations that would otherwise be custom code get built and maintained visually by the team that actually owns the process.

At a Glance

Category
Automation & Workflows
Pricing
Freemium, Subscription, Usage-based
Target Market
CIOs, Operations Leaders, Marketing Teams, RevOps Teams
Deployment
Cloud-only
Founded
2015
Team Size
201-500
Customers
400,000+ organisations across 200+ countries

Key Features

  • Visual branching canvas

    Scenarios are drawn as graphs with routers, filters, iterators and aggregators, expressing multi-path logic that linear trigger-action tools cannot.

  • 3,000+ app integrations

    A catalogue of over 3,500 listed apps covering Salesforce, HubSpot, NetSuite, Microsoft 365 and Google Workspace, plus an HTTP module for anything else.

  • AI Agents on the same canvas

    Agents reason about context and choose next steps rather than following fixed logic, and are built, run and debugged alongside existing scenarios.

  • Multiple build modes

    The same automation can be assembled by drag-and-drop, generated from a prompt, or driven through Model Context Protocol from an AI client.

  • Multi-provider AI model access

    Native modules for OpenAI, Anthropic Claude, Google Vertex AI, Mistral, Azure OpenAI, Hugging Face, Perplexity and ElevenLabs avoid single-vendor lock-in.

  • Make API and developer platform

    Available from the Core plan up, letting engineering teams manage scenarios programmatically and build custom apps for the catalogue.

  • Enterprise security and compliance

    SOC 2 Type II and SOC 3 audits, an ISO 27001-certified security program, AES-256 at rest, TLS 1.2/1.3 in transit and AWS KMS key management.

  • Execution logging and search

    Full-text execution log search on Pro and above, with 30-day retention by default and longer retention available for Enterprise customers.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • CRM and marketing stack synchronisation

    Keeps Salesforce or HubSpot records in step with billing, support and marketing tools without a custom integration service to maintain.

  • Lead routing with conditional logic

    Routers and filters send each inbound lead down a different path by score, region or product, then notify the right owner.

  • AI-assisted content and support workflows

    An LLM module drafts a reply or summary mid-scenario, with the deterministic steps around it handling retrieval and delivery.

  • E-commerce order and fulfilment automation

    Shopify or WooCommerce orders trigger inventory updates, Stripe reconciliation and customer notifications across systems that do not talk natively.

  • Agentic operations across many apps

    An AI Agent assesses an incoming request, decides which of 3,000-plus connected apps to act in, and executes the steps.

Ideal For

Best For

  • Multi-branch integrations with routers, filters and conditional paths that linear automation tools cannot express
  • Connecting long-tail SaaS apps where a native integration does not exist, using the 3,000+ catalogue or the generic HTTP module
  • Operations and marketing teams automating processes without engineering support
  • Adding AI Agents and LLM calls into existing automations on the same canvas as deterministic steps
  • Enterprises needing SOC 2 Type II and ISO 27001-backed automation with SSO and extended log retention

Not Ideal For

  • Engineering teams comfortable in code — Hacker News practitioners report spending '10+ minutes of UI node creation' on tasks that take minutes to write, and prefer n8n for its JavaScript and Python code nodes
  • Organisations requiring self-hosted or air-gapped automation, since Make is cloud-only and n8n is the usual choice there
  • High-volume, latency-sensitive pipelines where credit-metered execution becomes both expensive and hard to reason about
  • Teams without an owner for automation maintenance — reviewers describe scenarios that 'broke silently' and became a single point of failure

Deployment

On-Premise

Market & Ratings

Estimated Customers

400,000+ organisations across 200+ countries

Market Analysis

Enterprise-gradeNo-codeMid-market
User Rating4.8/ 5

Pros

  • The branching canvas expresses multi-path logic that linear automation tools simply cannot, which is the main reason teams migrate from Zapier
  • Very large catalogue — over 3,500 apps listed — plus an HTTP module that covers anything with an API
  • Strong independent ratings: 4.8 out of 5 across 408 Capterra reviews, with value for money at 4.73
  • Enterprise-grade compliance for a platform that starts at $12 a month: SOC 2 Type II, SOC 3, ISO 27001, GDPR, AES-256 and AWS KMS
  • AI Agents are available on all plans rather than gated behind Enterprise, so the agentic path is testable cheaply

Cons

  • Debugging is the most consistent complaint — Capterra reviewers report that 'bugs and issues are difficult to diagnose, troubleshoot, and resolve, causing workflow interruptions'
  • Credit-based metering makes costs escalate unpredictably with volume, and reviewers flag this repeatedly at scale
  • Ease of use is its weakest Capterra sub-score at 4.34, and the canvas becomes unwieldy on advanced multi-branch scenarios
  • Engineers find it slow going: a Hacker News commenter described spending '10+ minutes of UI node creation' on work that is trivial in code, and another called the automations 'cumbersome to edit and very limited'
  • Scenarios can fail quietly — one team reported that 'Scenarios broke silently. Only I could fix them', turning the platform into a single point of failure
  • Cloud-only, with no self-hosted option, which pushes data-residency-constrained and air-gapped buyers toward n8n

Pricing

Free Trial Available

Free

$0

  • Up to 1,000 credits per month
  • No-code visual workflow builder
  • 3,000+ apps
  • Routers and filters

Core

From $12/mo

  • 10,000 credits per month
  • Unlimited active scenarios
  • Scheduling down to the minute
  • Make API access

Pro

From $21/mo

  • Everything in Core
  • Priority scenario execution
  • Custom variables
  • Full-text execution log search

Teams

From $38/mo

  • Everything in Pro
  • Team management and roles
  • Scenario template creation and sharing

Enterprise

Contact for pricing

  • Custom functions support
  • Enterprise app integrations
  • 24/7 enterprise support
  • Advanced security, SSO and overage protection
  • 99.5% cloud uptime commitment

List pricing is published for every tier except Enterprise: Free at 1,000 credits a month, then Core at $12, Pro at $21 and Teams at $38 a month, each including 10,000 credits with annual billing saving about 15%. The meaningful cost driver is credits, not seats — every module run in a scenario consumes them — so a workflow that loops over records burns budget far faster than the plan price suggests, and Capterra reviewers cite exactly this escalation. Overage protection, SSO, custom functions and extended log retention are all gated behind Enterprise, which is quote-only.

Security & Compliance

soc2
gdpr
hipaa
iso27001
sso
data residency

Sources

This page was written from 7 sources, 2 on domains other than make.com.

  1. 1.make.comenvendor
  2. 2.make.compricingvendor
  3. 3.make.comsecurityvendor
  4. 4.make.comai agentsvendor
  5. 5.make.comintegrationsvendor
  6. 6.capterra.comIntegromat
  7. 7.hn.algolia.comhn.algolia.com
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Stanford

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DeepSeek

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Hexaware

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