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SparkCognition provides industrial AI applications for asset performance, predictive maintenance, and reliability across energy, manufacturing, and process industries.
Have any questions? We’re here to help You
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.
Makini's unified API acts as a common denominator across all connected systems. We map each system's data structure to a standardized data model, exposing consistent endpoints regardless of the underlying platform. This means you write the same code to retrieve purchase orders from SAP, NetSuite, or Dynamics—the API calls and response formats are identical. You always get data in the same structure, making it easy to build consistent business logic. The unified approach eliminates the need to learn each system's unique API, manage multiple authentication methods, or handle varying data formats.
Yes, through a combination of sandbox environments, test data, and Makini Flows. For testing different data states, use sandbox connections with predefined test scenarios. For testing system behavior like delays, errors, or specific responses, you can build test workflows in Makini Flows that simulate various scenarios. For testing with actual systems, set up dedicated test instances of your target systems. During implementation, we work with you to identify critical test scenarios and ensure your testing environment supports them. For specific edge cases or unusual system configurations, we can help create custom test scenarios.
Disconnecting a connection can be done through the Makini dashboard or API. In the dashboard, navigate to the connection and select disconnect. Via API, call the disconnect endpoint with the connection ID. Disconnecting immediately invalidates the API token and stops all scheduled syncs and workflows for that connection. The connection credits used are returned to your pool and become available for new connections. Disconnecting does not delete historical data that was previously synced—that remains accessible until you choose to delete it. Customers can reconnect the same system at any time, which will create a new connection with a new API token. Use disconnection for customers who churn or when permanently retiring a connection.
