Last reviewed: May 2026
AI-powered automation platform.
Make (Integromat) is an AI-powered automation platform that streamlines workflows and reduces manual processes across operations. It is designed for operations teams, it departments, business analysts across the technology and software sector. Founded in 2010, the company is recognized for its process automation and no-code workflows.
Make (Integromat) is best suited for operations teams, it departments, business analysts. From $0 / Core $9/month pricing for technology & saas teams.
Official website: Make (Integromat)
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The platform is designed to address the specific challenges faced by Technology & SaaS organizations. Key users include Operations teams, IT departments, Business analysts who rely on the platform for visual automation, complex workflows, data transformation. In the rapidly evolving Technology & SaaS landscape, Make (Integromat) stands out by combining rpa & automation capabilities with industry-specific features that address the unique challenges of visual automation, complex workflows, data transformation. The platform enables Operations teams and IT departments to transition from manual, error-prone processes to automated, data-driven workflows that deliver consistent results at scale. Compared to alternatives in the rpa & automation space, Make (Integromat) differentiates itself through its focus on Technology & SaaS use cases, and From $0 / Core $9/month that accommodates organizations at different stages of their AI adoption journey.
Before adopting Make (Integromat) or any RPA & Automation solution for your technology & saas workflows, it is important to assess how the platform fits your specific requirements. Start by mapping your highest-priority pain points — whether that is reducing manual tasks, improving data accuracy, scaling customer interactions, or accelerating time to insight. Make (Integromat) positions itself as a RPA & Automation solution, having been in the market since 2010, so evaluate whether its feature set directly addresses those pain points rather than relying on feature-list comparisons alone.
Request a live demo or proof-of-concept trial before committing to an annual contract. During the trial, measure concrete outcomes: task completion time, error rates, user adoption speed, and integration friction with your existing stack. Compare these metrics against at least two alternative vendors in the RPA & Automation space to establish a meaningful benchmark. Make (Integromat) uses a From $0 / Core $9/month pricing model — make sure you understand the total cost of ownership including implementation, training, and any per-seat or usage-based fees.
Confirm deployment options meet your IT and compliance requirements. Verify what compliance certifications and data-handling guarantees the vendor provides, especially for regulated technology & saas environments. Also ask about the vendor's SLA for uptime, support response times, and the data export process should you decide to switch providers in the future.
Make (Integromat) is a RPA & Automation platform designed for technology & saas organizations. AI-powered automation platform.
Make (Integromat) scores 9/10 on AI Scanner's independent evaluation. The score reflects performance (30%), usability (25%), pricing value (25%), and versatility (20%). Scores are updated monthly based on product changes, user feedback, and competitive benchmarking across RPA & Automation tools. Read our full scoring methodology.
The top alternative to Make (Integromat) on AI Scanner is Zapier AI with a score of 9.5/10. Other alternatives include n8n, Blue Prism. Compare all alternatives.
Make (Integromat) is designed for enterprise organizations. Its From $0 / Core $9/month pricing model scales with team size and usage requirements. We recommend running a pilot with your actual workflows before committing to a full deployment.
Make (Integromat) uses a From $0 / Core $9/month pricing model. For the most accurate pricing, request a custom quote directly from the vendor. Pricing may vary based on deployment scale, feature tier, and contract length. Always factor in implementation and training costs when comparing total cost of ownership against competitors.
How We Score: AI Scanner evaluates platforms across four dimensions - Performance (30%), Usability (25%), Pricing Value (25%), and Versatility (20%). Scores are updated monthly. Read our full methodology.