Make
Visual no-code workflow automation platform for business teams.
Available information varies by company and source.
Profile record updated:
Company facts
- Entity type
- COMPANY
- Headquarters
- Czechia
- Company size
- 50–200
- Market role
- B2B SaaS Provider
- Official website
- make.com
What Make does
Make provides cloud-based workflow automation software sold primarily to businesses on recurring subscriptions. Customers use the platform to connect SaaS tools, internal systems and APIs through visual workflows, then pay based on tiered access and operational usage. Additional value is created through enterprise-grade governance, monitoring, AI-agent connectivity and hybrid deployment capabilities that support larger, more regulated customers.
Category differentiation
This refers to the B2B automation platform, not the general English verb or unrelated creative tools. It is closer to an iPaaS and workflow automation product than to a consumer app or foundational AI model provider.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Make is a B2B workflow automation and integration software platform that enables organisations to build, run and manage cross-application workflows without coding. Its core product uses a visual scenario builder to connect triggers, actions and APIs across thousands of third-party applications, serving business users, IT teams, automation engineers and enterprise platform owners. The company makes money through subscription software pricing combined with usage-based charging tied to automation operations. It expands beyond core automation into enterprise governance, monitoring, AI-agent orchestration and hybrid deployment, which positions it as a broader automation control layer for companies seeking to automate marketing, operations, sales and internal business processes.
Company news briefing
Briefing updated:
Building on its 'Make Waves ’26' momentum, Make remains a primary orchestrator for autonomous SaaS products and complex RAG-based workflows. Although recently recognised as a high-value platform for AI-enriched lead pipelines in the 2026 AI Automation Tool Index, Make faces a shifting landscape where surging agentic token consumption and the rise of AI-native competitors threaten to disrupt established automation tooling. Consequently, the platform is prioritising its role in high-throughput technical workflows, bridging diverse cloud services with sophisticated AI model inference to sustain its market relevance.
Business model & monetisation
Make monetises through a SaaS subscription model with usage-based pricing tied to workflow operations or credits. It offers a free tier to drive adoption, then paid plans such as Core, Pro, Teams and Enterprise that scale with usage volume and unlock higher-value features including collaboration, API access, advanced execution, governance, support, security and enterprise controls. Enterprise deals likely combine annual subscription commitments with custom pricing for scale, compliance and support.
- Core workflow automation subscriptions
- Tiered SaaS plans
- Usage-based automation operations
- Credit-based consumption pricing
- Enterprise platform contracts
- Custom annual subscription pricing
- API, governance and security add-on value
- Higher-tier plan upsell
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Laravel Queue Stopped — Root Cause Was PHP-FPM
Infrastructure · Recorded impact score: 1/5
A developer debugging a Laravel application on a cPanel server discovered that recurring queue stoppages and Make.com request timeouts were caused by infrastructure issues rather than the queue itself. The queue worker had been started with nohup and disappeared after server restarts; moving execution to a cPanel Cron job with /bin/flock and --stop-when-empty made the worker lifecycle more resilient. Separately, slow or queued HTTP requests were traced to an overly conservative PHP-FPM configuration (pm.max_children = 5, pm.max_requests = 20, pm.process_idle_timeout = 10) on a 65 GB / 20-core server. The author recommends tuning PHP-FPM to match server capacity and diagnosing each layer independently.
- Laravel application ran on a cPanel server and used Redis for queueing.
- Initial queue worker was started with nohup and was killed by server restarts, requiring manual restarts.
Twilio to remove conference_participant on Aug 1, 2026
Measurement & Analytics Platform · Recorded impact score: 3/5
Twilio will remove the conference_participant field from Voice Insights Call Summary on August 1, 2026. The field will remain in responses but its attributes will uniformly return null (HTTP 200 unchanged) across both the REST API and Event Streams. Twilio points customers to the separate Conference Insights APIs (conference- and participant-keyed resources) as the replacement, meaning migrations require capturing or mapping ConferenceSid/ParticipantSid and reshaping call-centric storage to conference-centric storage. Because the change preserves response shape and status codes, analytics and pipeline consumers that relied on conference_participant may silently see conference metrics decay to zero rather than generate errors.
- Twilio will remove the conference_participant field from Voice Insights Call Summary on August 1, 2026, affecting both the REST API and Event Streams.
- After removal the field remains present in responses but conference_participant.attributes will return null for all calls while responses continue to be HTTP 200.
n8n Guide: Self-Hosted Workflow Automation with AI
Marketing Automation Platform · Recorded impact score: 2/5
This technical guide explains how to use n8n, a fair-code, developer-first workflow orchestration tool, to automate business processes from simple webhooks to multi-agent AI enrichment. It covers core advantages (self-hosting for data sovereignty, native JavaScript/Python nodes, complex data handling), a Docker Compose example for quick self-hosted deployment, a real-world lead-processing architecture with AI enrichment and CRM routing, and production best practices (idempotency, error triggers, queueing, secure credentials). The article emphasizes native AI orchestration via integrations with LangChain, OpenAI, Claude, and local vector databases and offers operational patterns for scaling high-throughput workflows.
- n8n is described as a fair-code, developer-first workflow orchestration tool that treats workflows as structured code pipelines.
- n8n supports self-hosting in Docker containers, AWS VPCs, or Kubernetes clusters to meet GDPR, SOC2, or HIPAA compliance requirements.
What Makes a WordPress Developer AI-Ready
Content Management System (CMS) · Recorded impact score: 2/5
The article outlines what it means for a WordPress developer to be 'AI-ready', arguing that AI should be applied where it solves clear business problems rather than used indiscriminately. It recommends starting with practical challenges (customer support, lead management, WooCommerce recommendations, automation, content drafting, analytics) before choosing plugins or APIs. The piece warns that AI-generated code requires human review and staging tests due to possible security, compatibility, and performance issues. It also covers safe automation practices, data privacy considerations when sending site data to external services, and the importance of preserving website performance and maintainability.
- AI tools can assist WordPress development tasks such as coding, content creation, customer support, automation, analytics, and SEO.
- Developers should select AI solutions only after defining a clear business problem and studying workflows, data, and risks.
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Questions about Make
What is Make?
Make is a B2B visual workflow automation platform that lets organisations connect apps, APIs and business processes without heavy coding.
Who uses Make?
SMBs, enterprises, IT teams, automation engineers and business users use Make to automate work across multiple software systems.
How does Make make money?
Make earns revenue from tiered SaaS subscriptions and usage-based pricing tied to automation operations, with custom enterprise pricing for advanced features and support.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
15 publicly documented primary sources and citations linked across the market graph.
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