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Make AI

Make (Integromat)

87·Strong

Overall Trust Score

Visual automation platform with AI capabilities for building no-code intelligent workflows. Integrates AI models with 1500+ app connections for creating automated business processes and intelligent agents.

automation
workflow
Version: Current
Last Evaluated: November 9, 2025
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Trust Vector

Performance & Reliability

86
scenario execution
89
Methodology
Workflow reliability testing
Evidence
Make Documentation
Reliable scenario execution with error handling
Date: 2024-10-20
Confidence: highLast verified: 2025-11-09
ai module performance
87
Methodology
AI integration testing
Evidence
AI Modules
OpenAI, Anthropic, and custom AI model integrations
Date: 2024-10-15
Confidence: highLast verified: 2025-11-09
integration reliability
92
Methodology
Integration testing
Evidence
Integrations
1500+ pre-built app integrations with high reliability
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
data processing
88
Methodology
Data processing testing
Evidence
Data Operations
Advanced data transformation and processing tools
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
error handling
84
Methodology
Error recovery testing
Evidence
Error Handlers
Comprehensive error handling with retry and fallback routes
Date: 2024-09-20
Confidence: highLast verified: 2025-11-09
latency
Value: 200ms-5s average
Methodology
Performance monitoring
Evidence
Performance
Enterprise-grade performance with global infrastructure
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09

Security

88
data encryption
92
Methodology
Security architecture review
Evidence
Security
TLS 1.2+ encryption and encrypted data storage
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
authentication
90
Methodology
Authentication testing
Evidence
User Management
SSO, 2FA, and role-based access control
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
credential vault
89
Methodology
Credential security review
Evidence
Connections
Encrypted credential storage and management
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
compliance
91
Methodology
Compliance documentation review
Evidence
Compliance
SOC 2 Type II, ISO 27001, GDPR compliant
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
webhook security
82
Methodology
Webhook security assessment
Evidence
Webhooks
Webhook security with custom authentication
Date: 2024-09-15
Confidence: highLast verified: 2025-11-09

Privacy & Compliance

87
data retention
86
Methodology
Privacy policy review
Evidence
Data Policy
Configurable data retention with automatic cleanup
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
gdpr compliance
90
Methodology
Compliance assessment
Evidence
GDPR
Full GDPR compliance with DPA available
Date: 2024-09-01
Confidence: highLast verified: 2025-11-09
data residency
88
Methodology
Data residency assessment
Evidence
Data Centers
EU and US data centers with region selection
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
data processing
84
Methodology
Data flow analysis
Evidence
Data Handling
Data flows through Make infrastructure to connected apps
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
audit logs
87
Methodology
Audit capabilities assessment
Evidence
Activity Logs
Comprehensive audit logs for enterprise plans
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09

Trust & Transparency

85
documentation quality
90
Methodology
Documentation completeness review
Evidence
Make Help Center
Excellent documentation with video tutorials
Date: 2024-10-20
Confidence: highLast verified: 2025-11-09
visual builder
93
Methodology
UI/UX assessment
Evidence
Scenario Builder
Industry-leading visual workflow builder
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
execution history
86
Methodology
Traceability assessment
Evidence
History
Detailed execution history with data inspection
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
template marketplace
84
Methodology
Template availability assessment
Evidence
Templates
Large template library for common use cases
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
support quality
76
Methodology
Support assessment
Evidence
Support
Email support, priority support for higher tiers
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09

Operational Excellence

88
ease of use
95
Methodology
Usability assessment
Evidence
User Experience
No-code platform designed for business users
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
scalability
90
Methodology
Scalability testing
Evidence
Enterprise
Enterprise-grade infrastructure with auto-scaling
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
cost predictability
81
Methodology
Pricing model analysis
Evidence
Pricing
Operation-based pricing, free tier + paid plans from $9/month
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
monitoring
87
Methodology
Monitoring features assessment
Evidence
Monitoring
Built-in monitoring and alerting capabilities
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
integration ecosystem
96
Methodology
Integration ecosystem assessment
Evidence
Apps
1500+ app integrations, largest in the market
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
uptime sla
89
Methodology
SLA review
Evidence
SLA
99.9% uptime SLA for enterprise plans
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09

✨ Strengths

  • •No-code visual builder with exceptional user experience
  • •1500+ pre-built integrations, largest app ecosystem
  • •Enterprise-grade security and compliance (SOC 2, ISO 27001, GDPR)
  • •Excellent documentation and template marketplace
  • •99.9% uptime SLA with reliable infrastructure
  • •Advanced AI integration with OpenAI, Anthropic, and custom models

⚠️ Limitations

  • •Proprietary cloud-only platform, no self-hosting option
  • •Can become expensive with high operation volumes
  • •AI agent capabilities less advanced than specialized frameworks
  • •Learning curve for complex scenario logic
  • •Vendor lock-in with proprietary platform
  • •Limited customization compared to code-based solutions

📊 Metadata

license: Proprietary
supported models:
0: OpenAI
1: Anthropic Claude
2: Google PaLM
3: Custom AI APIs
programming languages:
0: No-code (visual)
1: JavaScript functions
deployment type: Managed cloud service
tool support:
0: 1500+ app integrations
1: HTTP requests
2: Custom functions
pricing model: Free tier + paid plans ($9-$299/month)
operations included: 1,000 to unlimited per month
uptime sla: 99.9% (Enterprise)
data centers: US, EU
founded: 2012 (as Integromat, rebranded to Make 2021)
pricing: Free: 1,000 operations/month; Core: $9-10.59/month for 10k operations; Pro: $18.82/month; Teams: $29-34.12/month; Enterprise: Custom

Use Case Ratings

customer support

91

Excellent for automating support workflows across platforms

code generation

72

Can integrate AI for code tasks but not specialized

research assistant

83

Good for automated content aggregation and summarization

data analysis

88

Strong for data integration and automated reporting

content creation

86

Excellent for automated content workflows with AI

education

78

Suitable for educational workflow automation

healthcare

80

Can automate healthcare workflows with proper compliance

financial analysis

84

Strong compliance features for financial automation

legal compliance

82

Good for document workflow automation

creative writing

81

Suitable for creative workflow automation