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C3.ai APM is an enterprise AI application for asset performance management, using machine learning to predict equipment failures, optimize maintenance, and reduce downtime in industrial operations.
Have any questions? We’re here to help You
Connecting to any system through Makini is straightforward. You select the product you want to connect to, log in with your credentials, and receive an API token. The process takes just a few clicks and works consistently across all 2,000+ supported systems. For most systems (85-90% of cases), you only need the instance URL, username, and password. Some systems may require additional steps like API token generation, and we provide detailed authentication guides for these cases. The connection experience is designed to be simple enough that non-technical users can complete it without IT support.
Makini supports over 2,000 industrial systems across ERP, CMMS, and WMS categories. This includes major platforms like SAP (ECC, S4/HANA, Business One), Oracle NetSuite, Microsoft Dynamics, IBM Maximo, and specialized industrial systems. We support both cloud-based and on-premises installations. If you need to connect to a system we don't currently support, we're committed to building that integration for you at no additional charge—most new integrations are completed within one business day. You can view our full list of supported systems at makini.io/integrations.
Yes, Makini provides extensive customization options for field mappings. Through the connection settings interface, you can view how each system's fields map to Makini's unified model. You can remap fields, add custom field mappings, or create entirely new custom fields that will appear in API responses. These customizations are connection-specific, allowing different mapping configurations for different customers. Mapping changes take effect immediately without requiring code changes. For standardized workflows, default mappings typically provide sufficient coverage. Custom mappings are most useful when integrating with heavily customized systems or when you need fields beyond the standard unified model.
Our standard SLA targets 99.9% uptime for cloud deployments, which translates to less than 9 hours of downtime per year. For enterprise customers with critical integration requirements, we offer enhanced SLAs up to 99.99% through multi-region redundancy and dedicated infrastructure. SLAs cover the Makini platform itself—availability of connected third-party systems is outside our control, though we monitor their health and alert you to issues. For self-hosted deployments, uptime depends on your infrastructure configuration, and we provide architecture guidance to help you achieve your availability targets. We maintain a public status page showing real-time system health and incident history.
