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Some editions of Google Cloud Natural Language expose an API, but it is often limited, legacy, or inconsistent between versions, and many on-prem deployments have no usable API at all. Makini gives you one modern REST API for Google Cloud Natural Language that lets you read and write Google Cloud Natural Language data, even for legacy or on-prem instances. You build against Makini once instead of integrating with Google Cloud Natural Language directly.
You integrate Google Cloud Natural Language through Makini's Unified API. Authenticate once and Makini normalizes Google Cloud Natural Language data into a single consistent schema you can read from and write to inside your product. The same connection reaches Google Cloud Natural Language plus 2,000+ other ERP, WMS and CMMS systems, so you build one integration instead of one per system.
Through Makini you can read and write Google Cloud Natural Language's core records as normalized, standardized resources, in both directions: pull data out of Google Cloud Natural Language and push updates back in. Every field is mapped to a consistent Makini schema, so you work with the same object model across Google Cloud Natural Language and every other connected system.
Days, not quarters. Because Makini already builds and maintains the Google Cloud Natural Language connector, you do not reverse-engineer the integration yourself: you authenticate and start reading and writing Google Cloud Natural Language data through the Unified API, typically within a few days. A Google Cloud Natural Language integration built in-house usually takes months plus ongoing maintenance.
Yes. Makini connects to Google Cloud Natural Language over encrypted connections on SOC 2 Type II certified infrastructure, and handles Google Cloud Natural Language credentials for you so they are never exposed to your app. You authenticate once, and access runs through Makini's managed, auditable layer. The same security model applies across Google Cloud Natural Language and every other connected system.
Makini owns the maintenance. When Google Cloud Natural Language changes its API, versions, or endpoints, Makini updates the connector, and your integration keeps working with no changes on your side. You get a stable Unified API with webhooks, and Google Cloud Natural Language upkeep stays off your roadmap.
