Data pipelines that build and maintain themselves.

Toyon's AI agents rebuild your integrations when systems change, and keep every system in agreement after that.

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Your existing system changes.
Its pipelines need work.

Here, six systems use nine separate jobs to move data between them. Replace one system or change its fields, and someone has to find and fix every job it touches.

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CUSTOM PIPELINES
Six systems connected by nine custom jobsSalesforce, ArcGIS, SAP, HubSpot, Postgres, and Snowflake exchange customer, location, order, and usage data. One system change can affect several jobs.AccountContactETL 01CRM → MKTAccountCustomerSiteETL 02CRM → GISAccountCustomerRowETL 03CRM → APPServiceAreaCoverageZoneETL 04GIS → APPAssetLocationWorkSiteETL 05GIS → ERPSalesOrderOrderFactETL 06ERP → DWHUsageEventUsageFactETL 07APP → DWHMapFeatureLocationFactETL 08GIS → DWHContactMarketingPrefsETL 09MKT → APPToyonPIPELINE RUNNERBUILT AND MONITORED BY TOYONDetect changesstreams · webhooks · pollingMatch and check fieldsfield owners · version checksFind affected recordsshared transforms · targeted updatesSend updatestiming rules · API limitsWrite and checkretries · readbackFix missed updatescheckpoints · retry failed writesDETECT → UPDATE → CHECK≤ 5s · owns customerOUT · Account≤ 1m · owns locationOUT · ServiceAreaOUT · AssetLocationOUT · MapFeatureIN · CustomerSite≤ 1m · owns ordersOUT · SalesOrderIN · WorkSite≤ 1h · CRM wins conflictsOUT · ContactIN · Contact≤ 5s · owns usageOUT · UsageEventIN · CustomerRowIN · CoverageZoneIN · MarketingPrefs≤ 10m · batch preferredIN · OrderFactIN · UsageFactIN · LocationFactSalesforceCUSTOMER RELATIONSHIPSArcGISGIS & LOCATION DATASAPENTERPRISE RESOURCE PLANNINGHubSpotMARKETINGPostgresPRODUCT DATABASESnowflakeDATA WAREHOUSE
9 separate jobs

One system change can affect several jobs.

EXAMPLE: SIX CONNECTED SYSTEMS

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