MindCloud connects BigML and Salesforce so a workflow can turn work in one system into governed updates in the other.

It can use Get Anomaly, List Anomalies and Get Cluster from BigML, combine them with Create Customer, Get Contact by Email and Get Contacts from Salesforce, and run the handoff inside Gravity.

Yes. MindCloud can read from BigML and Salesforce, then change records or send updates where each connector exposes write actions.

That supports workflows that start in either app, map the fields once, and keep both sides aligned through Gravity.

BigML exposes actions such as Get Anomaly, List Anomalies and Get Cluster. MindCloud uses those operations to pick up the records, events, or API responses that belong in Salesforce, then maps only the fields your workflow needs.

Salesforce exposes actions such as Create Customer, Get Contact by Email and Get Contacts.

Those actions can create the notification, record update, lookup, or handoff step that should happen after BigML data enters the workflow.

The mapping is explicit. MindCloud takes the fields your process needs from BigML, transforms them when formats differ, and sends the approved values into Salesforce.

Validation, defaults, and branching live in the workflow instead of being hidden in one-off scripts.

It can. A workflow can branch when required data is missing, route an approval before writing to the next app, or send a review step through Salesforce when its connector supports it.

Failed handoffs stay visible in Gravity for correction and replay.

MindCloud uses Gravity, our integration platform. Gravity provides the connector layer, authentication handling, field mapping, workflow steps, retries, and operational visibility needed to run a BigML and Salesforce integration without maintaining brittle custom glue code.

No. MindCloud can fully manage this for you using Gravity, our integration platform. Our team scopes, builds, tests, launches, and maintains your BigML and Salesforce integration end to end.

You bring the requirements and system access, and we handle the mapping, edge cases, and upkeep as those systems change.

Tell us which systems need to talk to BigML and Salesforce, and what should happen between them. Our team will map it out, build it, and run it for you.

Talk to us to get started.